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Three-dimensional phase unwrapping for satellite radar interferometry, 1 : DEM generation / Batuhan Osmanoglu in IEEE Transactions on geoscience and remote sensing, vol 52 n° 2 (February 2014)
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Titre : Three-dimensional phase unwrapping for satellite radar interferometry, 1 : DEM generation Type de document : Article/Communication Auteurs : Batuhan Osmanoglu, Auteur ; Timothy H. Dixon, Auteur ; Shimon Wdowinski, Auteur Année de publication : 2014 Article en page(s) : pp 1059 - 1075 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] filtre de Kalman
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] mesurage de phase
[Termes IGN] modèle numérique de terrainRésumé : (Auteur) Determining the Earth's surface topography and deformation with interferometric synthetic aperture radar involves measurement of phase, which, for a typical coherent radar signal, can only be done modulo 2?. The cycle of ambiguity inherent in the phase measurement has to be unwrapped over all observation dimensions (e.g., azimuth, range, and time) to remove the 2? ambiguity of the phase measurements. For a time series of SAR images, useful for reducing noise in topographic applications or measuring time-varying surface deformation, the necessary steps to connect ambiguous radar phase measurements are more challenging, and the operation may be termed 3-D phase unwrapping. We describe a 3-D unwrapping approach using an extended Kalman filter. Our approach readily exploits existing information, and is robust in the presence of noise. For all tested data sets, it provides improved accuracy compared to existing approaches. Numéro de notice : A2014-078 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2247043 En ligne : https://doi.org/10.1109/TGRS.2013.2247043 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32983
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 2 (February 2014) . - pp 1059 - 1075[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2014021 RAB Revue Centre de documentation En réserve L003 Disponible An innovative support vector machine based method for contextual image classification / Rogério Galante Negri in ISPRS Journal of photogrammetry and remote sensing, vol 87 (January 2014)
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Titre : An innovative support vector machine based method for contextual image classification Type de document : Article/Communication Auteurs : Rogério Galante Negri, Auteur ; Luciano Vieira Dutra, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 241 - 248 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] classification contextuelle
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] image ALOS-PALSAR
[Termes IGN] image radar moiréeRésumé : (Auteur) Several remote sensing studies have adopted the Support Vector Machine (SVM) method for image classification. Although the original formulation of the SVM method does not incorporate contextual information, there are different proposals to incorporate this type of information into it. Usually, these proposals modify the SVM training phase or make an integration of SVM classifications using stochastic models. This study presents a new perspective on the development of contextual SVMs. The main concept of this proposed method is to use the contextual information to displace the separation hyperplane, initially defined by the traditional SVM. This displaced hyperplane could cause a change of the class initially assigned to the pixel. To evaluate the classification effectiveness of the proposed method a case study is presented comparing the results with the standard SVM and the SVM post-processed by the mode (majority) filter. An ALOS/PALSAR image, PLR mode, acquired over an Amazon area was used in the experiment. Considering the inner area of test sites, the accuracy results obtained by the proposed method is better than SVM and similar to SVM post-processed by the mode filter. The proposed method, however, produces better results than mode post-processed SVM when considering the classification near the edges between regions. One drawback of the method is the computational cost of the proposed method is significantly greater than the compared methods. Numéro de notice : A2014-020 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.11.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.11.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32925
in ISPRS Journal of photogrammetry and remote sensing > vol 87 (January 2014) . - pp 241 - 248[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2014011 RAB Revue Centre de documentation En réserve L003 Disponible Basal area and biomass estimates of loblolly pine stands using L-band UAVSAR / William L. Marks in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 1 (January 2014)
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Titre : Basal area and biomass estimates of loblolly pine stands using L-band UAVSAR Type de document : Article/Communication Auteurs : William L. Marks, Auteur ; Ross S. Lunetta, Auteur ; John S. Iiames, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 33 - 42 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] bande L
[Termes IGN] biomasse
[Termes IGN] Caroline du Nord (Etats-Unis)
[Termes IGN] drone
[Termes IGN] forêt
[Termes IGN] image radar moirée
[Termes IGN] Pinus taeda
[Termes IGN] polarimétrie radarRésumé : (Auteur) Fully polarimetric L-band Synthetic Aperture Radar (SAR) backscatter was collected using NASA's Unmanned Aerial Vehicle (UAV) SAR and regressed with in situ measure-ments of basal area (BA) and above ground biomass (AGB) of mature Loblolly pine stands in North Carolina. Results found HH polarization consistently displayed the lowest correlations where HV andVV exhibited the highest correlations in all groups for both BA and AGB. When plantation stands were analyzed separately (plantation versus natural), correlation improved significantly for both BA (R2 = 0.65, hv) and AGB (R2 = 0.66, vv). Similarly, results improved when natural stands were analyzed separately resulting in the highest correlation for AGB (R2 = 0.63, HV and VV). Data decomposition using the Freeman 3-component model indicated that the relative low correlations were due to the saturation of the L-band backscatter across the majority of the study area. Numéro de notice : A2014-091 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.80.1.33 En ligne : https://doi.org/10.14358/PERS.80.1.33 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32996
in Photogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 1 (January 2014) . - pp 33 - 42[article]Maximum-likelihood estimation for multi-aspect multi-baseline SAR interferometry of urban areas / Michael Schmitt in ISPRS Journal of photogrammetry and remote sensing, vol 87 (January 2014)
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Titre : Maximum-likelihood estimation for multi-aspect multi-baseline SAR interferometry of urban areas Type de document : Article/Communication Auteurs : Michael Schmitt, Auteur ; Uwe Stilla, Auteur Année de publication : 2014 Article en page(s) : pp 68 - 77 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] image aérienne
[Termes IGN] image radar moirée
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] matrice de covariance
[Termes IGN] milieu urbain
[Termes IGN] modèle numérique de surface
[Termes IGN] Munich
[Termes IGN] reconstruction 3DRésumé : (Auteur) The reconstruction of digital surface models (DSMs) of urban areas from interferometric synthetic aperture radar (SAR) data is a challenging task. In particular the SAR inherent layover and shadowing effects need to be coped with by sophisticated processing strategies. In this paper, a maximum-likelihood estimation procedure for the reconstruction of DSMs from multi-aspect multi-baseline InSAR imagery is proposed. In this framework, redundant as well as contradicting observations are exploited in a statistically optimal way. The presented method, which is especially suited for single-pass SAR interferometers, is examined using test data consisting of experimental airborne millimeterwave SAR imagery. The achievable accuracy is evaluated by comparison to LiDAR-derived reference data. It is shown that the proposed estimation procedure performs better than a comparable non-statistical reconstruction method. Numéro de notice : A2014-013 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.10.006 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.10.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32918
in ISPRS Journal of photogrammetry and remote sensing > vol 87 (January 2014) . - pp 68 - 77[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2014011 RAB Revue Centre de documentation En réserve L003 Disponible
Titre : Persistent Scatterer Interferometry based on geodetic estimation theory Type de document : Thèse/HDR Auteurs : Freek Van Leijen, Auteur Editeur : Delft : Netherlands Geodetic Commission NGC Année de publication : 2014 Collection : Netherlands Geodetic Commission Publications on Geodesy, ISSN 0165-1706 num. 86 Importance : 220 p. ISBN/ISSN/EAN : 978-94-6186-299-0 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] interferométrie différentielle
[Termes IGN] interféromètrie par radar à antenne synthétiqueRésumé : (auteur) Satellite radar interferometry (InSAR) is a powerful technique to measure motion of the Earth’s surface. However, the applicability of the conventional approach is limited due to error sources: temporal decorrelation, geometric decorrelation, and atmospheric signal delay. Radar interferometric time series approaches have been developed to overcome these degrading factors. By using the information content of a full radar image stack, the impact of the error sources can be reduced and time series of the deformation history can be estimated. The Persistent Scatterer Interferometry (PSI) technique, one of the time series approaches, is based on the coherent phase history of point scatterers. Since the location of these point scatterers is not known beforehand, PSI comprises both an estimation and a detection problem. The complicating factor in the estimation and detection process is the wrapped condition of the phase observations, i.e., phase observations in the [−π,+π) interval. As a consequence, the coherence of an image pixel in the time domain cannot be assessed directly. Furthermore, assumptions regarding the spatial and/or temporal smoothness of the deformation signal, expressed by a model, are required to estimate the unknown phase ambiguities. Therefore, both the correctness of the model used, and the actual phase persistence of the pre-selected pixels should be assessed. The multiple, model dependent, possible solutions, in combination with the uncertainty in the actual noise level of a certain image pixel, require a balanced procedure in the estimation and detection process. Hereby, the number of false detections and false rejections of these Persistent Scatterers (PS) should be minimized. This thesis describes the design, implementation, and evaluation of a new Persistent Scatterer Interferometry algorithm, the Delft implementation of PSI (DePSI). The algorithm is based on a framework of geodetic estimation, testing, and quality control techniques, known as the ’Delft school’. Using this framework, the algorithm is able to detect point scatterers with consistent reflection properties over time, for which the deformation time series can be estimated with sufficient reliability. [...] Note de contenu : 1- Introduction
2- Radar interferometry
3- PSI algorithm design and initialization
4- PSI temporal ambiguity resolution
5- PSI spatial ambiguity resolution and phase screen estimation
6- PS georeferencing and quality description
7- PSI processing strategies: experimental results
8- Conclusions and recommendationsNuméro de notice : 14851 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère Note de thèse : PhD thesis DOI : sans En ligne : http://resolver.tudelft.nl/uuid:5dba48d7-ee26-4449-b674-caa8df93e71e Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75697 Unmixing polarimetric radar images based on land cover type before target decomposition / Sébastien Giordano (2014)PermalinkOrthorectification of full-polarimetric radarsat-2 data using accurate LIDAR DSM / Thierry Toutin in IEEE Transactions on geoscience and remote sensing, vol 51 n° 12 (December 2013)PermalinkRadargrammetric registration of airborne multi-aspect SAR data of urban areas / Michael Schmitt in ISPRS Journal of photogrammetry and remote sensing, vol 86 (December 2013)PermalinkSAR image categorization with log cumulants of the fractional Fourier transform coefficients / Jagmal Singh in IEEE Transactions on geoscience and remote sensing, vol 51 n° 12 (December 2013)PermalinkWavelet-Based Compressed Sensing for SAR Tomography of Forested Areas / Esteban Aguilera in IEEE Transactions on geoscience and remote sensing, vol 51 n° 12 (December 2013)PermalinkProvenance capture and use in a satellite data processing pipeline / Scott Jensen in IEEE Transactions on geoscience and remote sensing, vol 51 n° 11 (November 2013)PermalinkA comparative analysis of low-level radio frequency interference in SMOS and Aquarius microwave radiometer measurements / Mustafa Aksoy in IEEE Transactions on geoscience and remote sensing, vol 51 n° 10 (October 2013)PermalinkCorrection and characterization of radio frequency interference signatures in L-band synthetic aperture radar data / Franz J. Meyer in IEEE Transactions on geoscience and remote sensing, vol 51 n° 10 (October 2013)PermalinkNarrow-band interference suppresion for SAR based on independent component analysis / Feng Zhou in IEEE Transactions on geoscience and remote sensing, vol 51 n° 10 (October 2013)PermalinkA sky status indicator to detect rain-affected atmospheric thermal emissions observed at ground / Ada Vittoria Bosisio in IEEE Transactions on geoscience and remote sensing, vol 51 n° 9 (September 2013)PermalinkUsing RFM for simultaneous positioning of multi-sensor spaceborne SAR imagery / Yingdan Wu in Photogrammetric record, vol 28 n° 143 (September - November 2013)PermalinkAn improved PolSAR image speckle reduction algorithm based on structural judgment and hybrid four-component polarimetric decomposition / Zegang Ding in IEEE Transactions on geoscience and remote sensing, vol 51 n° 8 (August 2013)PermalinkGlacier surface velocity estimation using repeat TerraSAR-X images: Wavelet- vs. correlation-based image matching / Adrian Schubert in ISPRS Journal of photogrammetry and remote sensing, vol 82 (August 2013)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)PermalinkInformation content of very high resolution SAR images: study of feature extraction and imaging parameters / Corneliu Dimitru in IEEE Transactions on geoscience and remote sensing, vol 51 n° 8 (August 2013)PermalinkIntegrated denoising and unwrapping of INSAR phase based on Markov random fields / Runpu Chen in IEEE Transactions on geoscience and remote sensing, vol 51 n° 8 (August 2013)PermalinkPhenomenology of ground scattering in a tropical forest through polarimetric synthetic aperture radar tomography / Mauro Mariotti d'Alessandro in IEEE Transactions on geoscience and remote sensing, vol 51 n° 8 (August 2013)PermalinkRetrieval of tropical forest biomass information from ALOS PALSAR data / Mahmudur Rahman in Geocarto international, vol 28 n° 5-6 (August - October 2013)PermalinkSupervised constrained optimization of Bayesian nonlocal means filter with sigma preselection for despeckling SAR images / Luis Gomez 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)Permalink