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imagerie
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Uniformity-based superpixel segmentation of hyperspectral images / Arun M. Saranathan in IEEE Transactions on geoscience and remote sensing, vol 54 n° 3 (March 2016)
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Titre : Uniformity-based superpixel segmentation of hyperspectral images Type de document : Article/Communication Auteurs : Arun M. Saranathan, Auteur ; Mario Parente, Auteur Année de publication : 2016 Article en page(s) : pp 1419 - 1430 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse de groupement
[Termes IGN] analyse des mélanges spectraux
[Termes IGN] analyse infrapixellaire
[Termes IGN] données géologiques
[Termes IGN] image AVIRIS
[Termes IGN] image hyperspectrale
[Termes IGN] segmentation d'imageRésumé : (Auteur) Superpixel segmentation algorithms attempt to group contiguous image pixels which are in homogeneous regions into segments (superpixels). Superpixel segmentation maps have proven successful in improving the performance of unmixing algorithms on hyperspectral images. For hyperspectral images (HSIs), segment members must contain spectrally similar pixels, a requirement we refer to as segment uniformity. Existing superpixel segmentation algorithms which have been applied to HSIs provide no guarantees on the uniformity inside segments. In the absence of such guarantees, the only viable option is to make the segments small enough that uniformity is always ensured; this leads to an oversegmentation of the image. An accurate uniformity measure would lead to a more accurate segmentation. We propose a graph-based agglomerative approach that enforces segment uniformity by setting a threshold for maximum variability inside segments. The threshold is computed by a statistical analysis of the within-class and between-class spectral divergences of several mineral families of interest. We show that the proposed algorithm can be used to generate parsimonious segmentations and facilitate the computation of accurate mineralogical summaries for several simulated and real HSIs of terrestrial and planetary geological surfaces. Numéro de notice : A2016-123 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2015.2480863 En ligne : https://doi.org/10.1109/TGRS.2015.2480863 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80003
in IEEE Transactions on geoscience and remote sensing > vol 54 n° 3 (March 2016) . - pp 1419 - 1430[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2016031 SL Revue Centre de documentation Revues en salle Disponible Use of SAR data for detecting floodwater in urban and agricultural areas: the role of the interferometric coherence / Luca Pulvirenti in IEEE Transactions on geoscience and remote sensing, vol 54 n° 3 (March 2016)
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Titre : Use of SAR data for detecting floodwater in urban and agricultural areas: the role of the interferometric coherence Type de document : Article/Communication Auteurs : Luca Pulvirenti, Auteur ; Marco Chini, Auteur ; Nazzareno Pierdicca, Auteur ; Giorgio Boni, Auteur Année de publication : 2016 Article en page(s) : pp 1532 - 1544 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] Emilie-Romagne (Italie)
[Termes IGN] gestion des risques
[Termes IGN] image Cosmo-Skymed
[Termes IGN] image radar moirée
[Termes IGN] inondation
[Termes IGN] interprétation automatique
[Termes IGN] milieu urbain
[Termes IGN] surface cultivée
[Termes IGN] zone à risqueRésumé : (Auteur) The use of synthetic aperture radar (SAR) data is presently well established in operational services for flood management. Nevertheless, detecting inundated vegetation and urban areas still represents a critical issue, because the radar signatures of these targets are often ambiguous. This paper analyzes the role of the interferometric coherence in complementing intensity SAR data for mapping floods in agricultural and urban environments. The advantages of the joint use of intensity and coherence are first discussed in a theoretical way and then verified on a case study, namely, the flood that hit the Emilia-Romagna region (Northern Italy) in January 2014. The short revisit time of the COSMO-SkyMed images, as well as a dedicated acquisition plan tailored to the requirements of the Italian Civil Protection Department, has allowed us to build a data set of radar interferometric observations of the event. Results show that the analysis of the multitemporal trend of the coherence is useful for the interpretation of SAR data since it enables a considerable reduction of classification errors that could be committed considering intensity data only. Interferometric data have permitted us to distinguish zones where water receded from areas where it persisted for a longer time and, in one case, to measure changes of water level. Numéro de notice : A2016-131 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2015.2482001 En ligne : https://doi.org/10.1109/TGRS.2015.2482001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80018
in IEEE Transactions on geoscience and remote sensing > vol 54 n° 3 (March 2016) . - pp 1532 - 1544[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2016031 SL Revue Centre de documentation Revues en salle Disponible ZY-3 block adjustment supported by GLAS laser altimetry data / Guoyuan Li in Photogrammetric record, vol 31 n° 153 (March - May 2016)
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Titre : ZY-3 block adjustment supported by GLAS laser altimetry data Type de document : Article/Communication Auteurs : Guoyuan Li, Auteur ; Xinming Tang, Auteur ; Xiaoming Gao, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 88 - 107 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] altimétrie satellitaire par laser
[Termes IGN] compensation par bloc
[Termes IGN] données altimétriques
[Termes IGN] données ICEsat
[Termes IGN] image ZiYuan-3Résumé : (Auteur) ZY-3 is the first Chinese civilian high-resolution stereo-mapping satellite, designed for 1:50 000 scale mapping. Although ZY-3 has a very high accuracy for direct image geolocation without ground control points (GCPs), the use of some GCPs is still indispensable for stereo mapping. A novel method is proposed whereby spaceborne Geoscience Laser Altimeter System (GLAS) laser altimetry datasets are viewed as generalised height control points to support a ZY-3 block adjustment. This method separates planimetric and height control, integrating the latter with GLAS data such that, without other GCPs, the vertical accuracy of ZY-3 images can be improved significantly. Both flat and mountainous terrain were selected to evaluate the proposed method. The results show that by adding two GLAS height control points for a single image, or spaced every 50 km in the along-track (orbital) direction for block images, the vertical accuracy can satisfy the requirements of 1:50 000 scale mapping, thus reducing the need for field surveying. Additionally, the method will be valuable for integrating spaceborne laser altimetry data and optical images for global mapping without any GCPs. Numéro de notice : A2016-163 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12138 Date de publication en ligne : 01/03/2016 En ligne : https://doi.org/10.1111/phor.12138 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80464
in Photogrammetric record > vol 31 n° 153 (March - May 2016) . - pp 88 - 107[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-2016011 RAB Revue Centre de documentation En réserve L003 Disponible Automatic geolocation correction of satellite imagery / Ozge C. Ozcanli in International journal of computer vision, vol 116 n° 3 (February 2016)
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Titre : Automatic geolocation correction of satellite imagery Type de document : Article/Communication Auteurs : Ozge C. Ozcanli, Auteur ; Yi Dong, Auteur ; Joseph L. Mundy, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 263–277 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] alignement
[Termes IGN] coordonnées géodésiques
[Termes IGN] correction automatique
[Termes IGN] géolocalisation
[Termes IGN] géoréférencement
[Termes IGN] image satellite
[Termes IGN] modèle numérique de surface
[Termes IGN] OpenStreetMap
[Termes IGN] orthoimage
[Termes IGN] reconstruction 3D
[Termes IGN] réseau routierRésumé : (auteur) Modern satellites tag their images with geolocation information using GPS and star tracking systems. Depending on the quality of the geopositioning equipment, errors may range from a few meters to tens of meters on the ground. At the current state of art, there is no established method to automatically correct these errors limiting the large-scale joint utilization of cross-platform satellite images. In this paper, an automatic geolocation correction framework that corrects images from multiple satellites simultaneously is presented. As a result of the proposed correction process, all the images are effectively registered to the same absolute geodetic coordinate frame. The usability and the quality of the correction framework are demonstrated through a 3-D surface reconstruction application. The 3-D surface models given by original satellite geopositioning metadata, and the corrected metadata, are compared. The quality difference is measured through an entropy-based metric applied to the orthographic height maps given by the 3-D surface models. Measuring the absolute accuracy of the framework is harder due to lack of publicly available high-precision ground surveys. However, the geolocation of images of exemplar satellites from different parts of the globe are corrected, and the road networks given by OpenStreetMap are projected onto the images using original and corrected metadata to demonstrate the improved quality of alignment. Numéro de notice : A2016--146 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1007%2Fs11263-015-0852-7 En ligne : https://doi.org/10.1007/s11263-015-0852-7 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85905
in International journal of computer vision > vol 116 n° 3 (February 2016) . - pp 263–277[article]Building expectations / Lena Nietbaur in GEO: Geoconnexion international, vol 15 n° 2 (February 2016)
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Titre : Building expectations Type de document : Article/Communication Auteurs : Lena Nietbaur, Auteur Année de publication : 2016 Article en page(s) : pp 32 - 33 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] détection de changement
[Termes IGN] image Sentinel
[Termes IGN] surveillance de l'urbanisationRésumé : (éditeur) Lena Nietbaur reports on a company using satellite to monitor construction projects, determine which buildings are being used and which are not, and even automatically determine when roads are in need of repair. Numéro de notice : A2016-062 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79664
in GEO: Geoconnexion international > vol 15 n° 2 (February 2016) . - pp 32 - 33[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 062-2016021 SL Revue Centre de documentation Revues en salle Disponible DEM-assisted RFM block adjustment of pushbroom nadir viewing HRS imagery / Yongjun Zhang in IEEE Transactions on geoscience and remote sensing, vol 54 n° 2 (February 2016)
PermalinkGeo-localization using volumetric representations of overhead imagery / Ozge C. Ozcanli in International journal of computer vision, vol 116 n° 3 (February 2016)
PermalinkMatrix-based discriminant subspace ensemble for hyperspectral image spatial–spectral feature fusion / Renlong Hang in IEEE Transactions on geoscience and remote sensing, vol 54 n° 2 (February 2016)
PermalinkMulti-criteria, graph-based road centerline vectorization using ordered weighted averaging operators / Fateme Ameri in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 2 (February 2016)
PermalinkOptimising the spatial resolution of WorldView-2 pan-sharpened imagery for predicting levels of Gonipterus scutellatus defoliation in KwaZulu-Natal, South Africa / Romano Lottering in ISPRS Journal of photogrammetry and remote sensing, vol 112 (February 2016)
PermalinkPan-tropical hinterland forests: mapping minimally disturbed forests / Alexandra Tyukavina in Global ecology and biogeography, vol 25 n° 2 (February 2016)
PermalinkPerception de l’ambiance sonore d’un lieu selon sa représentation visuelle : une analyse de corpus / Laura Ascone in Corela, vol 14 n° 1 (Février 2016)
PermalinkSeamline determination for high resolution orthoimage mosaicking using watershed segmentation / Wang Mi in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 2 (February 2016)
PermalinkSpace–time adaptive processing and motion parameter estimation in multistatic passive radar using sparse Bayesian learning / Qisong Wu in IEEE Transactions on geoscience and remote sensing, vol 54 n° 2 (February 2016)
PermalinkTelespazio aurait-il trouvé la solution pour développer l'usage du spatial / Françoise de Blomac in DécryptaGéo le mag, n° 174 (février 2016)
PermalinkThe Costa Concordia last cruise: The first application of high frequency monitoring based on COSMO-SkyMed constellation for wreck removal / Andrea Ciampalini in ISPRS Journal of photogrammetry and remote sensing, vol 112 (February 2016)
PermalinkPermalink2nd workshop Preparation for the Sentinel-2 in Europe, Oslo, 11-12 October 2016 / Arnt Kristian Gjertsen (2016)
PermalinkAcquisition et reconstruction de données 3D denses sous-marines en eau peu profonde par des robots d'exploration / Loïca Avanthey (2016)
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)
PermalinkAn assessment of image features and random forest for land cover mapping over large areas using high resolution Satellite Image Time Series / Charlotte Pelletier (2016)
PermalinkPermalinkApplication of topo-edaphic factors and remotely sensed vegetation indices to enhance biomass estimation in a heterogeneous landscape in the Eastern Arc mountains of Tanzania / Mercy Ojoyi in Geocarto international, vol 31 n° 1 - 2 (January - February 2016)
PermalinkApport de la prise en compte de la variabilité intra-classe dans les méthodes de démélange hyperspectral pour l'imagerie urbaine / Charlotte Revel (2016)
PermalinkApport de la télédétection radar satellitaire pour la cartographie de la forêt des Landes / Yousra Hamrouni (2016)
PermalinkAutomatic detection of clouds and shadows using high resolution satellite image time series / Nicolas Champion (2016)
PermalinkCartographie de la vulnérabilité de la nappe à la pollution dans la plaine de Sidi Bel Abbes : Apport des données de télédétection et le SIG / N. Bentekhici in Bulletin des sciences géographiques, n° 30 (2015 - 2016)
PermalinkCombining spaceborne SAR images with 3D point clouds for infrastructure monitoring applications / Andrei Anghel in ISPRS Journal of photogrammetry and remote sensing, vol 111 (January 2016)
PermalinkCompressive sensing for multibaseline polarimetric SAR tomography of forested areas / Xinwu Li in IEEE Transactions on geoscience and remote sensing, vol 54 n° 1 (January 2016)
PermalinkPermalinkPermalinkContributions à la segmentation non supervisée d'images hyperspectrales : trois approches algébriques et géométriques / Saadallah El Asmar (2016)
PermalinkCorrection troposphérique des interférogrammes issus d’images radar par mesures GNSS et modèle global d’atmosphère / Vincent Dubreuil (2016)
PermalinkPermalinkDevelopment of a SGM-based multi-view reconstruction framework for aerial imagery / Mathias Rothermel (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)
PermalinkEffects of water and heat on growth of winter wheat in the North China Plain / Hongyan Wang in Geocarto international, vol 31 n° 1 - 2 (January - February 2016)
PermalinkEstimation of forest biomass using multivariate relevance vector regression / Alireza Sharifi in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 1 (January 2016)
PermalinkPermalinkForcing scale invariance in multipolarization SAR change detection / Vincenzo Carotenuto in IEEE Transactions on geoscience and remote sensing, vol 54 n° 1 (January 2016)
PermalinkForest stand segmentation using airborne lidar data and very high resolution multispectral imagery / Clément Dechesne (2016)
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PermalinkFusion of hyperspectral images and digital surface models for urban object extraction / Janja Avbelj (2016)
PermalinkFusion of space-borne multi-baseline and multi-frequency interferometric results based on extended Kalman filter to generate high quality DEMs / Xiaojie Zhang in ISPRS Journal of photogrammetry and remote sensing, vol 111 (January 2016)
PermalinkGeodetic SAR tomography / Xiao Xiang Zhu in IEEE Transactions on geoscience and remote sensing, vol 54 n° 1 (January 2016)
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PermalinkHydro-ecological monitoring of coastal marsh using high temporal resolution Sentinel-1 time serie / Cécile Cazals (2016)
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PermalinkIndoor navigation of mobile robots based on visual memory and image-based visual servoing / Suman Raj Bista (2016)
PermalinkInverse procedural Street Modelling: from interactive to automatic reconstruction / Rémi Cura (2016)
PermalinkLand Surface Remote Sensing in Urban and Coastal Areas, 2. Urban scene analysis with mobile mapping technology / Bruno Vallet (2016)
PermalinkLandmark based localization: LBA refinement using MCMC-optimized projections of RJMCMC-extracted road marks / Bahman Soheilian (2016)
PermalinkMeasuring spatial developments in the Czech Republic / Vladimíra Šilhánková in GIM international, vol 30 n° 1 (January 2016)
PermalinkMise en place de procédures automatiques en vue d’accélérer la production des plans topographiques au sein de l’entreprise Techni Drone / Kévin Javerliat (2016)
PermalinkModelling forest canopy trends with on-demand spatial simulation / Gordon M. Green in International journal of geographical information science IJGIS, vol 30 n° 1-2 (January - February 2016)
PermalinkMultifractal analysis for multivariate data with application to remote sensing / Sébastien Combrexelle (2016)
PermalinkA multilinear mixing model for nonlinear spectral unmixing / Rob Heylen in IEEE Transactions on geoscience and remote sensing, vol 54 n° 1 (January 2016)
PermalinkObject-oriented semantic labelling of spectral–spatial LiDAR point cloud for urban land cover classification and buildings detection / Anandakumar M. Ramiya in Geocarto international, vol 31 n° 1 - 2 (January - February 2016)
PermalinkPermalinkPassive microwave remote sensing of soil moisture based on dynamic vegetation scattering properties for AMSR-E / Jinyang Du in IEEE Transactions on geoscience and remote sensing, vol 54 n° 1 (January 2016)
PermalinkPointwise approach for texture analysis and characterization from very high resolution remote sensing images / Minh-Tan Pham (2016)
PermalinkProjective texturing uncertain geometry: silhouette-aware box-filtered blending using integral radial images / Mathieu Brédif (2016)
PermalinkRadar based classification prior to biomass retrieval from P-Band SAR data / Pierre-Louis Frison (2016)
PermalinkPermalinkSentinel-2A image quality commissioning phase final results: geometric calibration and performances / Florie Languille (2016)
PermalinkPermalinkSpectral–spatial adaptive sparse representation for hyperspectral image denoising / Ting Lu in IEEE Transactions on geoscience and remote sensing, vol 54 n° 1 (January 2016)
PermalinkStudy of lever-arm effect using embedded photogrammetry and on-board GPS receiver on UAV for metrological mapping purpose and proposal of a free ground measurements calibration procedure / Mehdi Daakir (2016)
PermalinkTotal-variation-regularized low-rank matrix factorization for hyperspectral image restoration / Wei He in IEEE Transactions on geoscience and remote sensing, vol 54 n° 1 (January 2016)
PermalinkPermalinkTowards a system combining SAR and optical Sentinel data to monitor gold mining in the Guiana shield / Mathieu Rahm (2016)
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PermalinkPermalinkWater vapor measurements by mobile Raman lidar over the Mediterranean Sea in the framework of HyMeX: application to multi-platform validation of moisture profiles / Julien Totems in EPJ Web of Conferences, vol 119 (2016)
PermalinkAn approach to fine coregistration between very high resolution multispectral images based on registration noise distribution / Youkyung Han in IEEE Transactions on geoscience and remote sensing, vol 53 n° 12 (December 2015)
PermalinkApplication of technical measures and software in constructing photorealistic 3D models of historical building using ground-based and aerial (UAV) digital images / Aleksander Zarnowski in Reports on geodesy and geoinformatics, vol 99 (December 2015)
PermalinkA Bayesian network-based method to alleviate the ill-posed inverse problem: A case study on leaf area index and canopy water content retrieval / Xingwen Quan in IEEE Transactions on geoscience and remote sensing, vol 53 n° 12 (December 2015)
PermalinkClassification of hyperspectral images by exploiting spectral–spatial information of superpixel via multiple kernels / Leyuan Fang in IEEE Transactions on geoscience and remote sensing, vol 53 n° 12 (December 2015)
PermalinkCorrecting distortion of polarimetric SAR data induced by ionospheric scintillation / Jun Su Kim in IEEE Transactions on geoscience and remote sensing, vol 53 n° 12 (December 2015)
PermalinkDEM measurements of a gravel-bed surface using two scales of images / Chi-Kuei Wang in Photogrammetric record, vol 30 n° 152 (December 2015 - February 2016)
PermalinkExamining the potential of Sentinel-2 MSI spectral resolution in quantifying above ground biomass across different fertilizer treatments / Mbulisi Sibanda in ISPRS Journal of photogrammetry and remote sensing, vol 110 (December 2015)
PermalinkGeometric accuracy analysis model of the ZiYuan-3 satellite without GCPs / Xinming Tang in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 12 (December 2015)
PermalinkInelastic surface deformation during the 2013 Mw 7.7 Balochistan, Pakistan, earthquake / A. Vallage in Geology, vol 43 n° 12 (December 2015)
PermalinkInSAR assessment of surface deformations in urban coastal terrains associated with groundwater dynamics / Jonathan C. L. Normand in IEEE Transactions on geoscience and remote sensing, vol 53 n° 12 (December 2015)
PermalinkMapillary and the power of community mapping / Peter Neubauer in Geoinformatics, vol 18 n° 8 (December 2015)
PermalinkMapping with small UAS: A point cloud accuracy assessment / Charles K. Toth in Journal of applied geodesy, vol 9 n° 4 (December 2015)
PermalinkMeasuring urban volume: geospatial technique and application / Ronald C. Estoque in Tsukuba geoenvironmental sciences, vol 11 ([01/12/2015])
PermalinkReal-time atmospheric correction of AVIRIS-NG imagery / Brian D. Bue in IEEE Transactions on geoscience and remote sensing, vol 53 n° 12 (December 2015)
PermalinkRoad vectorisation from high-resolution imagery based on dynamic clustering using particle swarm optimisation / Fateme Ameri in Photogrammetric record, vol 30 n° 152 (December 2015 - February 2016)
PermalinkSemi-supervised SVM for individual tree crown species classification / Michele Dalponte in ISPRS Journal of photogrammetry and remote sensing, vol 110 (December 2015)
PermalinkTwo-stage change detection for synthetic aperture radar / Miriam Cha in IEEE Transactions on geoscience and remote sensing, vol 53 n° 12 (December 2015)
PermalinkUrban classification by the fusion of thermal infrared hyperspectral and visible data / Jiayi Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 12 (December 2015)
PermalinkPermalinkAutomatic orthorectification of high-resolution optical satellite images using vector roads / Aleš Marsetič in IEEE Transactions on geoscience and remote sensing, vol 53 n° 11 (November 2015)
PermalinkCombining leaf physiology, hyperspectral imaging and partial least squares-regression (PLS-R) for grapevine water status assessment / Tal Rapaport in ISPRS Journal of photogrammetry and remote sensing, vol 109 (November 2015)
PermalinkComment la photographie peut devenir un outil technique pour le forestier / Olivier Martineau in Forêt entreprise, n° 225 (novembre-décembre 2015)
PermalinkDiscrimination of deciduous tree species from time series of unmanned aerial system imagery / Jonathan Lisein in Plos one, vol 10 n° 11 (November 2015)
PermalinkForest cover maps of China in 2010 from multiple approaches and data sources: PALSAR, Landsat, MODIS, FRA, and NFI / Yuanwei Qin in ISPRS Journal of photogrammetry and remote sensing, vol 109 (November 2015)
PermalinkGeometric integration of high-resolution satellite imagery and airborne LiDAR data for improved geopositioning accuracy in metropolitan areas / Bo Wu in ISPRS Journal of photogrammetry and remote sensing, vol 109 (November 2015)
PermalinkImproving soil moisture profile prediction with the particle Filter-Markov chain Monte Carlo method / Hongxiang Yan in IEEE Transactions on geoscience and remote sensing, vol 53 n° 11 (November 2015)
PermalinkA moving weighted harmonic analysis method for reconstructing high-quality SPOT VEGETATION NDVI time-series data / Gang Yang in IEEE Transactions on geoscience and remote sensing, vol 53 n° 11 (November 2015)
PermalinkMultitemporal fluctuations in L-Band Backscatter from a japanese forest / Manabu Watanabe in IEEE Transactions on geoscience and remote sensing, vol 53 n° 11 (November 2015)
PermalinkPermalinkSimulation of the SuperSAR multi-azimuth synthetic aperture radar imaging system for precise measurement of three-dimensional earth surface displacement / Hyung-Sup Jung in IEEE Transactions on geoscience and remote sensing, vol 53 n° 11 (November 2015)
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