Descripteur
Termes IGN > sciences naturelles > physique > optique > optique physique > radiométrie > signature spectrale > polarisation
polarisation |
Documents disponibles dans cette catégorie (148)
Ajouter le résultat dans votre panier
Visionner les documents numériques
Affiner la recherche Interroger des sources externes
Etendre la recherche sur niveau(x) vers le bas
Evaluating Sentinel-1A datasets for rice leaf area index estimation based on machine learning regression models / Lamin R. Mansaray in Geocarto international, vol 37 n° 5 ([01/03/2022])
[article]
Titre : Evaluating Sentinel-1A datasets for rice leaf area index estimation based on machine learning regression models Type de document : Article/Communication Auteurs : Lamin R. Mansaray, Auteur ; Fumin Wang, Auteur ; Adam Sheka Kanu, Auteur ; Lingbo Yang, Auteur Année de publication : 2022 Article en page(s) : pp 1225 - 1236 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] apprentissage automatique
[Termes IGN] Chine
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] Extreme Gradient Machine
[Termes IGN] image Sentinel-SAR
[Termes IGN] jeu de données localisées
[Termes IGN] Leaf Area Index
[Termes IGN] modèle de régression
[Termes IGN] plus proche voisin, algorithme du
[Termes IGN] polarisation
[Termes IGN] rizièreRésumé : (Auteur) Three Sentinel-1A datasets in vertical transmitted and horizontal received (VH) and vertical transmitted and vertical received (VV) polarisations, and the linear combination of VH and VV (VHVV) are evaluated for rice green leaf area index (LAI) estimation using four machine learning regression models [Support Vector Machine (SVM), k-Nearest Neighbour (k-NN), Random Forest (RF) and Gradient Boosting Decision Tree (GBDT)]. Results showed that for the entire growing season, VV outperformed VH, recording an R2 of 0.68 and an RMSE of 0.98 m2/m2 with the k-NN model. However, VHVV produced the most accurate estimates with GBDT (R2 of 0.82 and RMSE of 0.68 m2/m2), followed by that of VHVV with RF (R2 of 0.78 and RMSE of 0.90 m2/m2). Our findings have further confirmed that combining VH and VV data can achieve improved rice growth modelling, and that tree-based algorithms can better handle data dimensionality. Numéro de notice : A2022-274 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2020.1773545 Date de publication en ligne : 05/06/2020 En ligne : https://doi.org/10.1080/10106049.2020.1773545 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100753
in Geocarto international > vol 37 n° 5 [01/03/2022] . - pp 1225 - 1236[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-2022051 RAB Revue Centre de documentation En réserve L003 Disponible DART: An efficient 3D Monte Carlo vector radiative transfer model for remote sensing applications / Yingjie Wang (2022)
Titre : DART: An efficient 3D Monte Carlo vector radiative transfer model for remote sensing applications Titre original : Modélisation 3D du transfert radiatif avec polarisation pour l'étude des surfaces terrestres par télédétection Type de document : Thèse/HDR Auteurs : Yingjie Wang, Auteur ; Jean-Philippe Gastellu-Etchegorry, Directeur de thèse ; A. Deschamps, Directeur de thèse Editeur : Toulouse : Université de Toulouse Année de publication : 2022 Importance : 248 p. Format : 21 x 30 cm Note générale : Bibliographie
Thèse en vue de l'obtention du Doctorat de l'Université de Toulouse, spécialité Surfaces et interfaces continentales, hydrologieLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] distribution du coefficient de réflexion bidirectionnelle BRDF
[Termes IGN] méthode de Monte-Carlo
[Termes IGN] modèle de transfert radiatif
[Termes IGN] modélisation 3D
[Termes IGN] polarisation
[Termes IGN] radianceIndex. décimale : THESE Thèses et HDR Résumé : (auteur) Accurate understanding of the land surface functioning, such as the energy budget, carbon and water cycles, and ecosystem dynamics, is essential to better interpret, predict and mitigate the impact of the expected global changes. It thus requires observing our planet at different spatial and temporal scales that only the remote sensing (RS) can achieve because of its ability to provides systematic and synoptic radiometric observations. These observations can be transformed to surface parameters (e.g., temperature, vegetation biomass, etc.) used as input in process models (e.g., evapotranspiration) or be assimilated in the latter. Understanding the radiation interactions in the land surface and atmosphere is essential in two aspects: interpret RS signals as information about the observed land surfaces, and model the processes of functioning of land surfaces where the radiation participates. This explains the development of radiative transfer models (RTMs) that simulate the radiative budget and RS observations. The initial 3D RTMs in the 1980s simulated basic radiation mechanisms in very schematic representations of land surfaces (e.g., turbid medium, geometric primitive). Since then, their accuracy and performance have been greatly improved to address the increasing need of accurate information about land surfaces as well as the advances of RS instruments. So far, two types of improvements are still needed: 1. More accurate and efficient radiative transfer (RT) modelling (e.g., polarization, specular reflection, atmospheric scattering and emission, etc.) 2. Representation of land surfaces at different realism degrees and spatial scales. DART is one of the most accurate and comprehensive 3D RTMs (dart.omp.eu). It simulates the radiative budget and RS observations of urban and natural landscapes, with topography and atmosphere, from the ultraviolet to the thermal infrared domains. Its initial version, DART-FT, in 1992, used the discrete ordinates method to iteratively track the radiation along finite number of discrete directions in voxelized representations of the landscapes. It has been validated with other RTMs, and also RS and field measurements. However, it cannot simulate RS observations with the presently needed precision because of its voxelized representation of landscapes, and absence of some physical mechanisms (e.g., polarization). During this thesis, in collaboration with the DART team, I developed in DART a new Monte Carlo vector RT mode called DART-Lux that takes full advantage of the latest advances in RT modelling, especially in computer graphics. The central idea is to transfer the radiation transfer problem as a multi-dimensional integral problem and solve it with the Monte Carlo method that is considerably efficient and accurate in computing multi-dimensional integral such as the complex mechanisms (e.g., polarization) in realistic representations of 3D landscapes. For that, I implemented the bidirectional path tracing algorithm that generates a group of "source-sensor" paths by connecting two sub-paths, one is generated starting from the light source and another one is generated starting from the sensor. Then, the contribution of these paths to the integral is estimated by the multiple importance sampling. This method allows to accurately and efficiently simulate polarimetric RS observations of kilometre-scale realistic landscapes coupled with plane-parallel atmosphere, with consideration of the anisotropic scattering, the thermal emission, and the solar induced fluorescence. Compared to DART-FT, DART-Lux improves the computer efficiency (i.e., computer time and memory) usually by a factor of more than 100 for large-scale and complex landscapes. It provides new perspectives for studying the land surface functioning and also for preparing Earth observation satellite missions such as the missions TRISHNA (CNES and ISRO), LSTM and next generation Sentinel-2 (ESA), and CHANGE (NASA). Note de contenu : General introduction
1- Radiometry and radiative transfer
2- Numerical models for radiative transfer
3- DART-Lux: theory and implementation
4- Modelling of atmospheric effects
5- Modelling of polarization
Conclusion and perspectivesNuméro de notice : 24106 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse française Organisme de stage : CESBIO DOI : sans En ligne : https://www.theses.fr/2022TOU30173 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=103060 A novel cotton mapping index combining Sentinel-1 SAR and Sentinel-2 multispectral imagery / Lan Xun in ISPRS Journal of photogrammetry and remote sensing, Vol 181 (November 2021)
[article]
Titre : A novel cotton mapping index combining Sentinel-1 SAR and Sentinel-2 multispectral imagery Type de document : Article/Communication Auteurs : Lan Xun, Auteur ; Jiahua Zhang, Auteur ; Dan Cao, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 148 - 166 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] cartographie automatique
[Termes IGN] Chine
[Termes IGN] coefficient de rétrodiffusion
[Termes IGN] distribution spatiale
[Termes IGN] Etats-Unis
[Termes IGN] Gossypium (genre)
[Termes IGN] image Sentinel-MSI
[Termes IGN] image Sentinel-SAR
[Termes IGN] indice de végétation
[Termes IGN] polarisation
[Termes IGN] réflectance spectrale
[Termes IGN] série temporelleRésumé : (auteur) Cotton is an important cash crop in the world, as the main source of natural and renewable fiber for textiles. Accurate and timely monitoring of the cotton distribution is crucial for cotton cultivation management and international trade. However, most of the previous researches on cotton identification using remotely sensed images are highly dependent on training samples, and the collection of samples is time-consuming and expensive. To overcome this limitation, a new index, termed as Cotton Mapping Index (CMI), was developed in this study for automatic cotton mapping using time series of Sentinel-1 synthetic aperture radar (SAR) and Sentinel-2 Multispectral Instrument (MSI) satellite data. Four sites in the United States (U.S.) and four sites in China were selected to develop and assess the performance of the CMI. The spectral characteristics derived from Sentinel-2 and backscattering coefficients derived from Sentinel-1 for cotton and non-cotton crops during the cotton growth period were analyzed. Considering the phenology differences of crops in different regions, the features at an adaptive window were adopted to construct the CMI. The results showed that at the peak greenness period, the multiplication of red-edge 1 and red-edge 2 band for cotton samples were much larger than those for non-cotton samples, whereas the spectral angle at the red band as well as the absolute values of backscattering coefficients in vertical transmit and vertical receive (VV) polarization for cotton samples were much smaller than those for non-cotton samples. Based on these findings, the CMI was developed to identify cotton cultivated area within the cropland area. The overall accuracy of classification results for the sites in the U.S. was higher than 81.20%, and the mean relative error for the sites in Xinjiang of China was 26.69%. The CMI, which incorporated optical and radar features, had a better performance than the indices using optical features solely. The advantage of the CMI over supervised classifiers (i.e., k-nearest neighbors, support vector machine and random forest) is that no training samples are required. Moreover, the cotton distribution map can be obtained before the harvest using the CMI. These results indicated the potential of the CMI for cotton mapping. The applicability of CMI in other regions with different cropping systems and crop types needs to be further assessed in the future study. Numéro de notice : A2021-775 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2021.08.021 Date de publication en ligne : 21/09/2021 En ligne : https://doi.org/10.1016/j.isprsjprs.2021.08.021 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98836
in ISPRS Journal of photogrammetry and remote sensing > Vol 181 (November 2021) . - pp 148 - 166[article]A parameterization of the cloud scattering polarization signal derived from GPM observations for microwave fast radative transfer models / Victoria Sol Galligani in IEEE Transactions on geoscience and remote sensing, vol 59 n° 11 (November 2021)
[article]
Titre : A parameterization of the cloud scattering polarization signal derived from GPM observations for microwave fast radative transfer models Type de document : Article/Communication Auteurs : Victoria Sol Galligani, Auteur ; Die Wang, Auteur ; Paola Belen Corales, Auteur ; Catherine Prigent, Auteur Année de publication : 2021 Article en page(s) : pp 8968 - 8977 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] image GPM
[Termes IGN] image radar
[Termes IGN] latitude
[Termes IGN] modèle atmosphérique
[Termes IGN] modèle de transfert radiatif
[Termes IGN] nuage
[Termes IGN] polarisation
[Termes IGN] prévision météorologique
[Termes IGN] radiomètre à hyperfréquence
[Termes IGN] reconstruction du signal
[Termes IGN] variation saisonnièreRésumé : (auteur) Microwave cloud polarized observations have shown the potential to improve precipitation retrievals since they are linked to the orientation and shape of ice habits. Stratiform clouds show larger brightness temperature (TB) polarization differences (PDs), defined as the vertically polarized TB (TBV) minus the horizontally polarized TB (TBH), with ~10 K PD values at 89 GHz due to the presence of horizontally aligned snowflakes, while convective regions show smaller PD signals, as graupel and/or hail in the updraft tend to become randomly oriented. The launch of the global precipitation measurement (GPM) microwave imager (GMI) has extended the availability of microwave polarized observations to higher frequencies (166 GHz) in the tropics and midlatitudes, previously only available up to 89 GHz. This study analyzes one year of GMI observations to explore further the previously reported stable relationship between the PD and the observed TBs at 89 and 166 GHz, respectively. The latitudinal and seasonal variability is analyzed to propose a cloud scattering polarization parameterization of the PD-TB relationship, capable of reconstructing the PD signal from simulated TBs. Given that operational radiative transfer (RT) models do not currently simulate the cloud polarized signals, this is an alternative and simple solution to exploit the large number of cloud polarized observations available. The atmospheric radiative transfer simulator (ARTS) is coupled with the weather research and forecasting (WRF) model, in order to apply the proposed parameterization to the RT simulated TBs and hence infer the corresponding PD values, which show to reproduce the observed GMI PDs well. Numéro de notice : A2021-886 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2021.3049921 Date de publication en ligne : 02/02/2021 En ligne : https://doi.org/10.1109/TGRS.2021.3049921 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98871
in IEEE Transactions on geoscience and remote sensing > vol 59 n° 11 (November 2021) . - pp 8968 - 8977[article]A deep translation (GAN) based change detection network for optical and SAR remote sensing images / Xinghua Li in ISPRS Journal of photogrammetry and remote sensing, vol 179 (September 2021)
[article]
Titre : A deep translation (GAN) based change detection network for optical and SAR remote sensing images Type de document : Article/Communication Auteurs : Xinghua Li, Auteur ; Zhengshun Du, Auteur ; Yanyuan Huang, Auteur ; Zhenyu Tan, Auteur Année de publication : 2021 Article en page(s) : pp 14 - 34 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] détection de changement
[Termes IGN] image à très haute résolution
[Termes IGN] image optique
[Termes IGN] image radar moirée
[Termes IGN] image Sentinel-SAR
[Termes IGN] méthode robuste
[Termes IGN] polarisation
[Termes IGN] réseau antagoniste génératif
[Termes IGN] réseau neuronal profond
[Termes IGN] zone d'intérêtRésumé : (Editeur) With the development of space-based imaging technology, a larger and larger number of images with different modalities and resolutions are available. The optical images reflect the abundant spectral information and geometric shape of ground objects, whose qualities are degraded easily in poor atmospheric conditions. Although synthetic aperture radar (SAR) images cannot provide the spectral features of the region of interest (ROI), they can capture all-weather and all-time polarization information. In nature, optical and SAR images encapsulate lots of complementary information, which is of great significance for change detection (CD) in poor weather situations. However, due to the difference in imaging mechanisms of optical and SAR images, it is difficult to conduct their CD directly using the traditional difference or ratio algorithms. Most recent CD methods bring image translation to reduce their difference, but the results are obtained by ordinary algebraic methods and threshold segmentation with limited accuracy. Towards this end, this work proposes a deep translation based change detection network (DTCDN) for optical and SAR images. The deep translation firstly maps images from one domain (e.g., optical) to another domain (e.g., SAR) through a cyclic structure into the same feature space. With the similar characteristics after deep translation, they become comparable. Different from most previous researches, the translation results are imported to a supervised CD network that utilizes deep context features to separate the unchanged pixels and changed pixels. In the experiments, the proposed DTCDN was tested on four representative data sets from Gloucester, California, and Shuguang village. Compared with state-of-the-art methods, the effectiveness and robustness of the proposed method were confirmed. Numéro de notice : A2021-574 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2021.07.007 Date de publication en ligne : 23/07/2021 En ligne : https://doi.org/10.1016/j.isprsjprs.2021.07.007 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98174
in ISPRS Journal of photogrammetry and remote sensing > vol 179 (September 2021) . - pp 14 - 34[article]Exemplaires(3)
Code-barres Cote Support Localisation Section Disponibilité 081-2021091 SL Revue Centre de documentation Revues en salle Disponible 081-2021093 DEP-RECP Revue LASTIG Dépôt en unité Exclu du prêt 081-2021092 DEP-RECF Revue Nancy Dépôt en unité Exclu du prêt Estimating regional soil moisture with synergistic use of AMSR2 and MODIS images / Majid Rahimzadegan in Photogrammetric Engineering & Remote Sensing, PERS, vol 87 n° 9 (September 2021)PermalinkVariational bayesian compressive multipolarization indoor radar imaging / Van Ha Tang in IEEE Transactions on geoscience and remote sensing, Vol 59 n° 9 (September 2021)PermalinkEstimation of surface deformation due to Pasni earthquake using RADAR interferometry / Muhammad Ali in Geocarto international, vol 36 n° 14 ([01/08/2021])PermalinkImproving urban land cover classification with combined use of Sentinel-2 and Sentinel-1 imagery / Bin Hu in ISPRS International journal of geo-information, vol 10 n° 8 (August 2021)PermalinkForest height retrieval using P-band airborne multi-baseline SAR data: A novel phase compensation method / Hongliang Lu in ISPRS Journal of photogrammetry and remote sensing, vol 175 (May 2021)PermalinkInversion of solar-induced chlorophyll fluorescence using polarization measurements of vegetation / Haiyan Yao in Photogrammetric Engineering & Remote Sensing, PERS, vol 87 n° 5 (May 2021)PermalinkLeaf area index estimation of wheat crop using modified water cloud model from the time-series SAR and optical satellite data / Vijay Pratap Yadav in Geocarto international, vol 36 n° 7 ([15/04/2021])PermalinkON GLONASS pseudo-range inter-frequency bias solution with ionospheric delay modeling and the undifferenced uncombined PPP / Zheng Zhang in Journal of geodesy, vol 95 n° 3 (March 2021)PermalinkMonitoring of wheat crops using the backscattering coefficient and the interferometric coherence derived from Sentinel-1 in semi-arid areas / Nadia Ouaadi in Remote sensing of environment, Vol 251 (15 December 2020)PermalinkPolarization of light reflected by grass: modeling using visible-sunlit areas / Bin Yang in Photogrammetric Engineering & Remote Sensing, PERS, vol 86 n° 12 (December 2020)PermalinkCombination of Landsat 8 OLI and Sentinel-1 SAR time-series data for mapping paddy fields in parts of West and Central Java provinces, Indonesia / Sanjiwana Arjasakusuma in ISPRS International journal of geo-information, vol 9 n° 11 (November 2020)PermalinkTime series potential assessment for biophysical characterization of orchards and crops in a mixed scenario with Sentinel-1A SAR data / Hemant Sahu in Geocarto international, vol 35 n° 14 ([15/10/2020])PermalinkBistatic specular scattering measurements for the estimation of rice crop growth variables using fuzzy inference system at X-, C-, and L-bands / Ajeet Kumar Vishwakarma in Geocarto international, vol 35 n° 13 ([01/10/2020])PermalinkGround-based remote sensing of forests exploiting GNSS signals / Leila Guerriero in IEEE Transactions on geoscience and remote sensing, vol 58 n° 10 (October 2020)PermalinkAccuracies of support vector machine and random forest in rice mapping with Sentinel-1A, Landsat-8 and Sentinel-2A datasets / Lamin R. Mansaray in Geocarto international, vol 35 n° 10 ([01/08/2020])PermalinkOn-Orbit Calibration of Terra MODIS VIS Bands Using Polarization-Corrected Desert Observations / Amit Angal in IEEE Transactions on geoscience and remote sensing, vol 58 n° 8 (August 2020)PermalinkImproved SMAP dual-channel algorithm for the retrieval of soil moisture / Mario Julian Chaubell in IEEE Transactions on geoscience and remote sensing, vol 58 n° 6 (June 2020)PermalinkWheat leaf area index retrieval using RISAT-1 hybrid polarized SAR data / Thota Sivasankar in Geocarto international, Vol 35 n° 8 ([01/06/2020])PermalinkRadar Vegetation Index for assessing cotton crop condition using RISAT-1 data / Dipanwita Haldar in Geocarto international, vol 35 n° 4 ([15/03/2020])PermalinkDeep SAR-Net: learning objects from signals / Zhongling Huang in ISPRS Journal of photogrammetry and remote sensing, vol 161 (March 2020)PermalinkCombination of linear regression lines to understand the response of Sentinel-1 dual polarization SAR data with crop phenology - case study in Miyazaki, Japan / Emal Wali in Remote sensing, vol 12 n° 1 (January 2020)PermalinkPolarization dependence of azimuth cutoff from quad-pol SAR images / Huimin Li in IEEE Transactions on geoscience and remote sensing, vol 57 n° 12 (December 2019)PermalinkCombining machine learning and compact polarimetry for estimating soil moisture from C-Band SAR data / Emanuele Santi in Remote sensing, Vol 11 n° 20 (October-2 2019)PermalinkComprehensive evaluation of soil moisture retrieval models under different crop cover types using C-band synthetic aperture radar data / P. Kumar in Geocarto international, vol 34 n° 9 ([15/06/2019])PermalinkEstimation of the forest stand mean height and aboveground biomass in Northeast China using SAR Sentinel-1B, multispectral Sentinel-2A, and DEM imagery / Yanan Liu in ISPRS Journal of photogrammetry and remote sensing, vol 151 (May 2019)PermalinkUnderstanding of atmospheric systems with efficient numerical methods for observation and prediction / Lei-Ming Ma (2019)PermalinkDétection de changement par imagerie radar sur les zones naturelles et agricoles en milieu tropical / Jérôme Lebreton (2018)PermalinkEstimation of surface roughness over bare agricultural soil from Sentinel-1 data / Mohammad Choker (2018)PermalinkA wavelet decomposition and polynomial fitting-based method for the estimation of time-varying residual motion error in airborne interferometric SAR / Hai Qiang Fu in IEEE Transactions on geoscience and remote sensing, vol 56 n° 1 (January 2018)PermalinkSurface soil moisture retrieval using the L-band synthetic aperture radar onboard the Soil Moisture Active–Passive Satellite and evaluation at core validation sites / Seung-Bum Kim in IEEE Transactions on geoscience and remote sensing, vol 55 n° 4 (April 2017)PermalinkSatellite-based probabilistic assessment of soil moisture using C-band quad-polarized RISAT1 data / Manali Pal in IEEE Transactions on geoscience and remote sensing, vol 55 n° 3 (March 2017)PermalinkDouble take : mitigating interference with a dual-polarized antenna array in a real environment / Matteo Sgammini in GPS world, vol 28 n° 2 (February 2017)PermalinkAirborne DLSLA 3-D SAR image reconstruction by combination of polar formatting and L_1 regularization / Xueming Peng in IEEE Transactions on geoscience and remote sensing, vol 54 n° 1 (January 2016)PermalinkDigital surface model generation over urban areas using high resolution satellite SAR imagery : tomographic techniques and their application to 3-Dchange monitoring / Martina Porfiri (2016)PermalinkForcing scale invariance in multipolarization SAR change detection / Vincenzo Carotenuto in IEEE Transactions on geoscience and remote sensing, vol 54 n° 1 (January 2016)PermalinkInvariant rules for multipolarization SAR change detection / Vincenzo Carotenuto in IEEE Transactions on geoscience and remote sensing, vol 53 n° 6 (June 2015)PermalinkAssessment of the relevance of information derived from the unmixing of polarimetric radar images / Sébastien Giordano (2015)PermalinkGround-based array for tomographic imaging of the tropical forest in P-band / Ho Tong Minh Dinh in IEEE Transactions on geoscience and remote sensing, vol 51 n° 8 (August 2013)PermalinkTexture classification of PolSAR data based on sparse coding of wavelet polarization textons / Chu He in IEEE Transactions on geoscience and remote sensing, vol 51 n° 8 (August 2013)PermalinkAnalysis on the resolution of polarimetric radar and performance evaluation of the polarimetric bandwidth extrapolation method / Kei Suwa in IEEE Transactions on geoscience and remote sensing, vol 51 n° 7 Tome 2 (July 2013)PermalinkPolarization scatterer feature metric space / William L. Cameron in IEEE Transactions on geoscience and remote sensing, vol 51 n° 6 Tome 2 (June 2013)PermalinkOn the degree of polarization for SAR sea oil slick observation / Ferdinando Nunziata in ISPRS Journal of photogrammetry and remote sensing, vol 78 (April 2013)PermalinkImprovement of stepped-frequency continuous wave Ground-Penetrating Radar cross-range resolution / I. Nicolaescu in IEEE Transactions on geoscience and remote sensing, vol 51 n° 1 Tome 1 (January 2013)PermalinkDetecting depolarized targets using a new geometrical perturbation filter / Armando Marino in IEEE Transactions on geoscience and remote sensing, vol 50 n° 10 Tome 1 (October 2012)PermalinkStable target detection and coherence estimation in interferometric SAR stacks / P. Guccione in IEEE Transactions on geoscience and remote sensing, vol 50 n° 8 (August 2012)PermalinkModeling and simulation of polarimetric hyperspectral imaging process / Junping Zhang in IEEE Transactions on geoscience and remote sensing, vol 50 n° 6 (June 2012)PermalinkPotential of texture measurements of two-date dual polarization PALSAR data for the improvement of forest biomass estimation / M. Sarker in ISPRS Journal of photogrammetry and remote sensing, vol 69 (April 2012)PermalinkCharacterization of Arctic sea ice thickness using high-resolution spaceborne polarimetric SAR data / J.W. Kim in IEEE Transactions on geoscience and remote sensing, vol 50 n° 1 (January 2012)PermalinkEffects on the geodetic-VLBI observables due to polarization leakage in the receivers / Alessandra Roy (2012)PermalinkClassification comparisons between dual-pol, compact polarimetric and quad-pol SAR imagery / T. Ainsworth in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 5 (September - October 2009)PermalinkDiscrimination of agricultural crops in a tropical semi-arid region of Brazil based on L-band polarimetric airborne SAR data / W. Silva in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 5 (September - October 2009)PermalinkApport des mesures directionnelles et polarisées aux corrections atmosphériques au-dessus des océans ouverts. Application à la mission PARASOL / Tristan Harmel (2009)PermalinkSea-surface polarization ratio from Envisat ASAR AP Data / H. Jonhsen in IEEE Transactions on geoscience and remote sensing, vol 46 n° 11 Tome 1 (November 2008)PermalinkImage-based 3D surface reconstruction by combination of photometric, geometric, and real-aperture methods / Pablo d' Angelo in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 3 (May - June 2008)PermalinkRetrieval of surface roughness using multi-polarized Envisat-1 ASAR data / H.s Srivastava in Geocarto international, vol 23 n° 1 (February - March 2008)PermalinkModern radar systems / H. Meikle (2008)PermalinkSea-ice deformation state from synthetic aperture radar imagery: Part 1 comparison of C- and L-band and different polarization / W. Dierking in IEEE Transactions on geoscience and remote sensing, vol 45 n° 11 Tome 2 (November 2007)PermalinkSentinel-1, the radar mission for GMES operational land and sea services / E. Attema in ESA bulletin, n° 131 (August 2007)PermalinkTopographie : un demi-siècle d'évolution technologique : (1/4) La première révolution : la mesure électronique des distances / Paul Courbon in XYZ, n° 110 (mars - mai 2007)PermalinkComparison of L- and X-band PolSAR data for characterization of polarization orientation angle shift induced by man-made structure / K. Iribe (2007)PermalinkEvaluation of the potential of SAR ERS and ASAR Envisat sensors in multi-incidence and multi-polarisation modes for landscape study in French Guyana: examples of Kourou and Saint Laurent du Maroni / J.L. Kouame in Revue Française de Photogrammétrie et de Télédétection, n° 182 (Juin 2006)PermalinkSea ice monitoring by L-band SAR: an assessment based on literature and comparisons of JERS-1 and ERS-1 imagery / W. Dierking in IEEE Transactions on geoscience and remote sensing, vol 44 n° 4 (April 2006)PermalinkGPS + modernized GPS + Galileo signal timing biases / C. Hegarty in GPS world, vol 17 n° 3 (March 2006)PermalinkApports de l'imagerie satellitaire à la mise à jour de l'information géographique dans les pays de la ceinture tropicale / J.L. Kouame (2006)PermalinkElaboration de MNT par extraction de pentes topographiques de données polarimétriques / Yohann Ly (2006)PermalinkPotentiel des données ASAR-Envisat en bande C pour la détermination des caractéristiques de la neige humide en environnement alpin / Jean-Pierre Dedieu in Revue Française de Photogrammétrie et de Télédétection, n° 179 (Décembre 2005)PermalinkUtilisation des signatures de texture d'ordre elevé pour une meilleure discrimination des classes d'occupation du sol sur une image radar à synthese d'ouverture / E. Tonye in Revue Française de Photogrammétrie et de Télédétection, n° 179 (Décembre 2005)PermalinkMIRAS reference radiometer: a fully polarimetric noise injection radiometer / A. Colliander in IEEE Transactions on geoscience and remote sensing, vol 43 n° 5 (May 2005)PermalinkThe emissivity of foam-covered water surface at L-band: theoretical modelling and experimental results from the frog 2003 field experiment / A. Camps in IEEE Transactions on geoscience and remote sensing, vol 43 n° 5 (May 2005)PermalinkAgriculture classification using PolSAR data / H. Skriver (2005)PermalinkApport de la polarimétrie radar pour la cartographie thématique en Polynésie française / Cédric Lardeux (2005)PermalinkVicarious radiometric calibration of satellite ocean colour sensors / D. Antoine (01/09/2004)PermalinkThe EuroSTARRS airborne campaign in support of the SMOS mission: first results over land surfaces / K. Saleh in International Journal of Remote Sensing IJRS, vol 25 n° 1 (January 2004)PermalinkOptical remote sensing / W.G. Egan (2004)PermalinkRadar imaging of moving targets in foliage using multifrequency multiaperture polarimetric SAR / G. Wang in IEEE Transactions on geoscience and remote sensing, vol 41 n° 8 (August 2003)PermalinkLand cover classification models using Shuttle Imaging Radar (SIR-C) data: a case study in New Hampshire, USA / R. Narayanan in Geocarto international, vol 17 n° 3 (September - November 2002)PermalinkCalculation of the calibration constant of polarization Lidar and its dependency on atmospheric temperature / Andreas Behrendt in Optics express, vol 10 n° 16 (12/08/2002)PermalinkOn the estimation of radar polarization orientation shifts induced by terrain slopes / Jong-Sen Lee in IEEE Transactions on geoscience and remote sensing, vol 40 n° 1 (January 2002)PermalinkTraitement des images de RSO [Radar à Synthèse d'0uverture] / Henri Maître (2001)PermalinkAnalyse du potentiel des images radar pour la cartographie et la mise à jour de cartes en Guinée-Conakry / Cédric Parent (2000)PermalinkAnalyse des paysages côtiers par signatures radar : expérimentation GlobeSAR / G. Bonnaffoux in Photo interprétation, vol 36 n° 2-3 (Mai 1998)PermalinkDevelopment of models for monitoring the urban environment using radar remote sensing / Catherine Ticehurst (1998)PermalinkManuel d'optique / Germain Chartier (1997)PermalinkÉvolution des techniques de mesure par télémétrie laser sur satellites / Bruno Goupil (1996)PermalinkOptique / J.P. Perez (1996)PermalinkInfluence de la rugosité de surface en radiométrie micro-onde des sols nus / L. Laguerre (1995)PermalinkLe Géomensor CR 204 / S. Devaux (1994)PermalinkPolarisation de la lumière / S. Huard (1994)PermalinkPropagation des rayonnements électromagnétiques dans l'atmosphère / Michel Kasser (1993)PermalinkCours de physique générale à l'usage de l'enseignement supérieur scientifique et technique / Georges Bruhat (1992)PermalinkOptique géométrique, ondulatoire et polarisation avec exercices et problèmes résolus / J.P. Perez (1991)PermalinkRadar cross section analysis and control / A.K. Bhattacharya (1991)PermalinkSynergism of synthetic aperture radar and visible & infrared data for forest type discrimination / D.G. Leckie in Photogrammetric Engineering & Remote Sensing, PERS, vol 56 n° 9 (september 1990)PermalinkRadar backscatter measurements over saline ice / S. Gogineni in International Journal of Remote Sensing IJRS, vol 11 n° 4 (April 1990)PermalinkA multiconstituent and multilayer microwave backscatter model for a vegetative medium / H.T. Chuah in Remote sensing of environment, vol 31 n° 2 (01/02/1990)PermalinkElectromagnétisme / J.P. Perez (1990)PermalinkRadar polarimetry for geoscience applications / F.T. Ulaby (1990)PermalinkA quad-pol radar scattering model for use in remote sensing of lava flow morphology / B.A. Campbell in Remote sensing of environment, vol 30 n° 3 (01/12/1989)PermalinkComparison of AVHRR and SMMR data for monitoring vegetation phenology on a continental scale / C.O. Justice in International Journal of Remote Sensing IJRS, vol 10 n° 10 (October 1989)PermalinkComparison of data from the Scanning Multifrequency Microwave Radiometer (SMMR) with data from the Advanced Very High Resolution Radiometer (AVHRR) for terrestrial environmental / J.R.G. Townshend in International Journal of Remote Sensing IJRS, vol 10 n° 10 (October 1989)PermalinkMonitoring global land surface using Nimbus-7 37ghz data : theory and examples / B.J. Choudhury in International Journal of Remote Sensing IJRS, vol 10 n° 10 (October 1989)PermalinkPhotopolarimetric observations of aerosols and clouds from balloon / J.L. Deuze in Remote sensing of environment, vol 29 n° 2 (01/08/1989)PermalinkSAR applications in agriculture : a comparison of steep and shallow mode (30 and 53 degrees incidence angles) data / S. Poirier in International Journal of Remote Sensing IJRS, vol 10 n° 6 (June 1989)PermalinkThe effect of system parameters on the quality of polarized and depolarized bistatic radar cross section measurements / R.J. Nelson in Remote sensing of environment, vol 27 n° 2 (01/02/1989)PermalinkFine resolution signatures of coniferous and deciduous trees at C-band / R. Zoughi in International Journal of Remote Sensing IJRS, vol 10 n° 1 (January 1989)PermalinkTheoretical study of the sensitivity of the microwave backscattering coefficient to the soil surface parameters / M. Autret in International Journal of Remote Sensing IJRS, vol 10 n° 1 (January 1989)PermalinkNear surface soil moisture estimation from microwave measurements / L. Bruckler in Remote sensing of environment, vol 26 n° 2 (01/11/1988)PermalinkClutter elimination and feature enhancement in multipolarization radar imaging / J.C. Jackson in International Journal of Remote Sensing IJRS, vol 9 n° 8 (August 1988)PermalinkAn empirical model for polarized and cross-polarized scattering from a vegetation layer / H.L. Liu in Remote sensing of environment, vol 25 n° 1 (01/06/1988)PermalinkElectromagnetic scattering from a layer of finite length, randomly oriented, dielectric, circular cylinders over a rough interface with application to vegetation / M.A. Karam in International Journal of Remote Sensing IJRS, vol 9 n° 6 (June 1988)PermalinkShuttle radar mapping with diverse incidence angles in the rainforest of Borneo / J.P. Ford in International Journal of Remote Sensing IJRS, vol 9 n° 5 (May 1988)PermalinkBackscatter and dielectric measurements from rocks of south-eastern Utah at C-band, X-band and KU-band / R. Swanson in International Journal of Remote Sensing IJRS, vol 9 n° 4 (April 1988)PermalinkComparison of unified full-wave solutions for normal incidence microwave backscatter from sea with physical optics and hybrid solutions / E. Bahar in International Journal of Remote Sensing IJRS, vol 9 n° 3 (May 1988)PermalinkRelative sensitivity of Normalized Difference Vegetation Index (NDVI) and Microwave Polarization Difference Index (MPDI) for vegetation and desertification monitoring / François Becker in Remote sensing of environment, vol 24 n° 2 (March 1988)PermalinkRemote sensing of soil moisture content over bare soil at microwave frequencies / A.D. Vyas in International Journal of Remote Sensing IJRS, vol 9 n° 2 (February 1988)PermalinkPreliminary assessment of radiometric accuracies for MOS-1 sensors / A. Kohei in International Journal of Remote Sensing IJRS, vol 9 n° 1 (January 1988)PermalinkShuttle-Imaging-Radar-a analysis of land use in Amazonia / T.A. Stone in International Journal of Remote Sensing IJRS, vol 9 n° 1 (January 1988)PermalinkEstimates of primary productivity over the Thar desert based upon nimbus-7 37GHZ data : 1979-1985 / B.J. Choudhury in International Journal of Remote Sensing IJRS, vol 8 n° 12 (December 1987)PermalinkMeasurement of backscatter from conifers in the C and X bands / H. Hirosawa in International Journal of Remote Sensing IJRS, vol 8 n° 11 (November 1987)PermalinkMultiband-scatterometer data analysis of forests / D.H. Hoekman in International Journal of Remote Sensing IJRS, vol 8 n° 11 (November 1987)PermalinkA scattering model for perfectly conducting random surfaces - 1 : model development / A.K. Fung in International Journal of Remote Sensing IJRS, vol 8 n° 11 (November 1987)PermalinkFresnel field interaction applied to scattering from a vegetation layer / A.K. Fung in Remote sensing of environment, vol 23 n° 1 (01/10/1987)PermalinkEvaluation and comparison of dominant backscattering sources at 10 ghz in two treatments of tall-grass prairie / R. Zoughi in Remote sensing of environment, vol 22 n° 3 (01/08/1987)PermalinkDetecting forest structure and biomass with C-Band / W.E. Westman in Remote sensing of environment, vol 22 n° 2 (01/07/1987)PermalinkDiffuse and specular characteristics of leaf reflectance / L. Grant in Remote sensing of environment, vol 22 n° 2 (01/07/1987)PermalinkMonitoring global vegetation using Nimbus -7 37ghz data : some empirical relations / B.J. Choudhury in International Journal of Remote Sensing IJRS, vol 8 n° 7 (July 1987)PermalinkMeasurement of scattering coefficient sigma of trees / H. Hirosawa in International Journal of Remote Sensing IJRS, vol 8 n° 4 (April 1987)PermalinkPolarization of light scattered by clover / P. Woessner in Remote sensing of environment, vol 21 n° 3 (01/04/1987)PermalinkVariations in the polarized leaf reflectance of sorghum bicolor / L. Grant in Remote sensing of environment, vol 21 n° 3 (01/04/1987)PermalinkUrban land use separability as a function of radar polarization / F.M. Henderson in International Journal of Remote Sensing IJRS, vol 8 n° 3 (March 1987)PermalinkForest biomass, canopy structure, and species composition relationships with multipolarization L-band Synthetic Aperture Radar data / S.A. Sader in Photogrammetric Engineering & Remote Sensing, PERS, vol 53 n° 2 (february 1987)PermalinkQuantifying spatial and temporal variabilities of microwave brightness temperature over the U.S. southern great plains / B.J. Choudhury in International Journal of Remote Sensing IJRS, vol 8 n° 2 (February 1987)PermalinkImaging radar for resources surveys / J.W. Trevett (1986)PermalinkIntroduction to satellite oceanography [application of the technology of aerospace electromagnetic remote sensing to the study of the oceans] / G.A. Maul (1985)PermalinkPhotometry and polarization in remote sensing / W.G. Egan (1985)PermalinkProceedings of the NATO advanced research workshop on inverse methods in electromagnetic imaging, 1. Volume 1 / W.M. Boerner (1985)PermalinkProceedings of the NATO advanced research workshop on inverse methods in electromagnetic imaging, 2. Volume 2 / W.M. Boerner (1985)PermalinkDonnées multi temporelles du radar bande L : exemples d'application à la géologie du Diois et des Baronnies, interprétation des clichés radar JPL 1977 et 1979 / P. Rebillard in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 79 - 80 (Octobre 1980)PermalinkEtude préliminaire d'images radar en bande L de forêts de pins maritimes dans le sud-ouest de la France / Jacques Riom in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 79 - 80 (Octobre 1980)Permalink3. Cours de physique Berkeley. Tome 3, Ondes / F.S. Crawford (1972)PermalinkOptique / Maurice Françon (1972)PermalinkPolarization interferometers / Maurice Françon (1971)PermalinkDiodes et transistors / Gaston Fontaine (1969)Permalink