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Satellite SAR geocoding with refined RPC model / L. Zhang in ISPRS Journal of photogrammetry and remote sensing, vol 69 (April 2012)
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Titre : Satellite SAR geocoding with refined RPC model Type de document : Article/Communication Auteurs : L. Zhang, Auteur ; Timo Balz, Auteur ; M. Liao, Auteur Année de publication : 2012 Article en page(s) : pp 37 - 49 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] appariement d'images
[Termes IGN] erreur corrélée au temps
[Termes IGN] géoréférencement indirect
[Termes IGN] image radar moirée
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] propagation du signalRésumé : (Auteur) Recent studies have proved that the Rational Polynomial Camera (RPC) model is able to act as a reliable replacement of the rigorous Range-Doppler (RD) model for the geometric processing of satellite SAR datasets. But its capability in absolute geolocation of SAR images has not been evaluated quantitatively. Therefore, in this article the problems of error analysis and refinement of SAR RPC model are primarily investigated to improve the absolute accuracy of SAR geolocation. Range propagation delay and azimuth timing error are identified as two major error sources for SAR geolocation. An approach based on SAR image simulation and real-to-simulated image matching is developed to estimate and correct these two errors. Afterwards a refined RPC model can be built from the error-corrected RD model and then used in satellite SAR geocoding. Three experiments with different settings are designed and conducted to comprehensively evaluate the accuracies of SAR geolocation with both ordinary and refined RPC models. All the experimental results demonstrate that with RPC model refinement the absolute location accuracies of geocoded SAR images can be improved significantly, particularly in Easting direction. In another experiment the computation efficiencies of SAR geocoding with both RD and RPC models are compared quantitatively. The results show that by using the RPC model such efficiency can be remarkably improved by at least 16 times. In addition the problem of DEM data selection for SAR image simulation in RPC model refinement is studied by a comparative experiment. The results reveal that the best choice should be using the proper DEM datasets of spatial resolution comparable to that of the SAR images. Numéro de notice : A2012-193 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.02.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.02.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31640
in ISPRS Journal of photogrammetry and remote sensing > vol 69 (April 2012) . - pp 37 - 49[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2012031 SL Revue Centre de documentation Revues en salle Disponible Using multi-frequency radar and discrete-return LiDAR measurements to estimate above-ground biomass and biomass components in a coastal temperate forest / O. Tsui in ISPRS Journal of photogrammetry and remote sensing, vol 69 (April 2012)
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Titre : Using multi-frequency radar and discrete-return LiDAR measurements to estimate above-ground biomass and biomass components in a coastal temperate forest Type de document : Article/Communication Auteurs : O. Tsui, Auteur ; Nicholas C. Coops, Auteur ; Michael A. Wulder, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 121 - 133 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] biomasse
[Termes IGN] Colombie-Britannique (Canada)
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] forêt tempérée
[Termes IGN] image radar
[Termes IGN] Pinophyta
[Termes IGN] polarimétrie radarRésumé : (Auteur) Height measurements from small-footprint discrete-return LiDAR and backscatter coefficients from C- and L-band radar were used independently and in combination to estimate above-ground component and total biomass for a coniferous temperate forest, located on Vancouver Island, British Columbia, Canada. Reference biomass data were obtained from plot-level data and used for comparison against the LiDAR and radar-based biomass models. For the LiDAR-only model, height metrics such as mean first return height and percentiles (e.g., 10th and 90th) of first returns correlated best to total above-ground and stem biomass. While percent of first returns above 2 m and percentiles (75th and 90th) of first returns height metrics correlated best to crown biomass. A comparison between above-ground components and total biomass indicate that stem biomass displayed the highest relationship with the LiDAR measurements while crown biomass showed the lowest relationship with relative root mean squared error ranging from 16% to 22%, respectively. Alternatively, the radar-only models indicated that for C-band radar, a combination of HH and VV backscatter demonstrated the most significant correlation with forest biomass compared to coherence based models with a relative root mean squared error of 53%. For L-band radar, a combination of HH and HV backscatter showed the most significant correlation compared to coherence based models with a relative root mean squared error of 44%. Exploring a mixture of C- and L-band backscatter and coherence based models revealed that a combination of C-HV and L-HV coherence magnitudes provided the best radar relationship with forest biomass with a relative root mean squared error of 35%. Also for all radar-based models, L- and C-band backscatter and coherence magnitudes were poorly correlated with individual biomass components when compared to total above-ground biomass. The addition of C- and L-band backscatter and coherence variables to the LiDAR-only biomass model was also investigated. The results showed that the integration of C-band HH backscatter to the LiDAR-only model significantly improved the relationship with forest biomass by explaining an additional 8.9% and 6.5% of the variability in total aboveground and stem biomass respectively, while C-band polarimetric entropy explained an additional 17.9% of the variability in crown biomass. Improvements in the relative root mean squared errors were also observed ranging from 7.1% to 11.7%. The study suggests that for a temperate forest dominated by coniferous stands, the addition of C-band radar variables to a best LiDAR-only linear model provides improved estimates of above-ground component and total biomass. Numéro de notice : A2012-196 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.02.009 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.02.009 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31643
in ISPRS Journal of photogrammetry and remote sensing > vol 69 (April 2012) . - pp 121 - 133[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2012031 SL Revue Centre de documentation Revues en salle Disponible Application of RPC model in orthorectification of spaceborne SAR imagery / G. Zhang in Photogrammetric record, vol 27 n° 137 (March - May 2012)
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Titre : Application of RPC model in orthorectification of spaceborne SAR imagery Type de document : Article/Communication Auteurs : G. Zhang, Auteur ; Q. Qiang, Auteur ; Y. Luo, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 94 - 110 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] image radar moirée
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] modélisation géométrique de prise de vue
[Termes IGN] orthorectificationRésumé : (Auteur) It has been widely accepted that the rational polynomial coefficient (RPC) model can be used as an alternative to rigorous sensor models of high resolution optical satellites for photogrammetric processing. In the application of the RPC model to synthetic aperture radar (SAR) image processing, it has been confirmed that the range-Doppler model can be replaced by the RPC model. Until now, however, orthorectification with the RPC model in SAR image processing has not been considered. This paper investigates how to perform orthorectification in SAR image processing with the RPC model. Following a brief introduction about the RPC model for spaceborne SAR imagery, an optimisation model is established and a method of conducting simulations with the RPC model is proposed. Finally, a series of experiments are performed in order to verify the correctness of the theory using TerraSAR-X, COSMO-SkyMed, ERS-2 and Envisat ASAR images as test data. By comparing the actual accuracy and the theoretical accuracy of the orthorectified imagery, the theory and methodology proposed in this paper are confirmed. Numéro de notice : A2012-131 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2011.00667.x Date de publication en ligne : 09/02/2012 En ligne : https://doi.org/10.1111/j.1477-9730.2011.00667.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31579
in Photogrammetric record > vol 27 n° 137 (March - May 2012) . - pp 94 - 110[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-2012011 RAB Revue Centre de documentation En réserve L003 Disponible Characterization of forests and deforestation in Cambodia using ALOS/PALSAR observation / R. Avtar in Geocarto international, vol 27 n° 2 (March 2012)
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Titre : Characterization of forests and deforestation in Cambodia using ALOS/PALSAR observation Type de document : Article/Communication Auteurs : R. Avtar, Auteur ; H. Sawada, Auteur ; Wataru Takeuchi, Auteur ; G. Singh, Auteur Année de publication : 2012 Article en page(s) : pp 119 - 137 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Cambodge
[Termes IGN] caractérisation
[Termes IGN] déboisement
[Termes IGN] décomposition d'image
[Termes IGN] forêt tropicale
[Termes IGN] image ALOS-PALSAR
[Termes IGN] image radar moirée
[Termes IGN] indice de végétation
[Termes IGN] sylvicultureRésumé : (Auteur) In this study, we have demonstrated the capability of full polarimetric ALOS/Phased Array L-band Synthetic Aperture Radar data for the characterization of the forests and deforestation in Cambodia, to support climate change mitigation policies of Reducing Emission from Deforestation and Forest Degradation (REDD). We have observed mean backscattering coefficient (ó°), entropy (H), alpha angle (á), anisotropy (A), pedestal height (PH), Radar Vegetation Index (RVI) and Freeman–Durden three-component decomposition parameters. The observations show that the forest types and deforested areas are showing variable polarimetric and backscattering properties because of the structural difference. Evergreen forest is characterized by a high value of ó° HV (-12.96 dB) as compared with the deforested area (ó° HV=-22.2 dB). The value of polarimetric parameters such as entropy (0.93), RVI (0.91), PH (0.41) and Freeman–Durden volume scattering (0.43) is high for evergreen forest, whereas deforested area is characterized by the low values of entropy (0.36) and RVI (0.17). Based on these parameters, it is found that ó° HV, entropy, RVI and PH provide best results among other parameters. Numéro de notice : A2012-126 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2011.626081 Date de publication en ligne : 20/10/2011 En ligne : https://doi.org/10.1080/10106049.2011.626081 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31574
in Geocarto international > vol 27 n° 2 (March 2012) . - pp 119 - 137[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2012021 RAB Revue Centre de documentation En réserve L003 Disponible Evaluation of modified four-component scattering power decomposition method over highly rugged glaciated terrain / G. Singh in Geocarto international, vol 27 n° 2 (March 2012)
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Titre : Evaluation of modified four-component scattering power decomposition method over highly rugged glaciated terrain Type de document : Article/Communication Auteurs : G. Singh, Auteur ; Yasushi Yamaguchi, Auteur ; S. Park, Auteur ; R. Avtar, Auteur Année de publication : 2012 Article en page(s) : pp 139 - 151 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] décomposition d'image
[Termes IGN] décomposition spectrale
[Termes IGN] glace
[Termes IGN] Himalaya
[Termes IGN] image radar moirée
[Termes IGN] polarimétrie radarRésumé : (Auteur) In recent years, there has been increased utilization of fully polarimetric synthetic aperture radar (POLSAR) data to study glaciated terrain features for glaciological and climate change modelling. This article is concerned with more accurate results and appropriate analysis of POLSAR data over a highly rugged glaciated area in Himalayan region. For this purpose, the modified Yamaguchi four-component scattering power decomposition (4-CSPD) method with a rotation concept of 3 x 3 coherency matrix [T] about line of sight is evaluated. It has been found that the modified Yamaguchi 4-CSPD method significantly improved the decomposition results as compared with the original 4-CSPD by minimizing the cross-polarized Horizontal-Vertical (HV) components. This modified 4-CSPD leads to enhancement in the double bounce scattering and surface scattering components and also avoids the overestimation problem in the volume scattering component as compared with the original 4-CSPD from the sloped terrain. The significant reductions of the negative power occurrence in the surface scattering (3.9%) and the double bounce scattering (19.7%) components have also been noticed as compared with the original 4-CSPD method over the glaciated area in this part of the Indian Himalaya. Numéro de notice : A2012-127 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2011.626082 Date de publication en ligne : 20/10/2011 En ligne : https://doi.org/10.1080/10106049.2011.626082 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31575
in Geocarto international > vol 27 n° 2 (March 2012) . - pp 139 - 151[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2012021 RAB Revue Centre de documentation En réserve L003 Disponible Markov Chain CFAR detection for polarimetric data using data fusion / C. Fei in IEEE Transactions on geoscience and remote sensing, vol 50 n° 2 (February 2012)
PermalinkA nonlocal SAR image denoising algorithm based on LLMMSE wavelet shrinkage / S. Parrilli in IEEE Transactions on geoscience and remote sensing, vol 50 n° 2 (February 2012)
PermalinkA simple and robust feature point matching algorithm based on restricted spatial order constraints for aerial image registration / Z. Liu in IEEE Transactions on geoscience and remote sensing, vol 50 n° 2 (February 2012)
PermalinkUsefulness of synthetic aperture radar (SAR) interferometry for digital elevation model (DEM) generation and estimation of land surface displacement in Jharia coal field area / Atanu Bhattacharya in Geocarto international, vol 27 n° 1 (February 2012)
PermalinkGénération et qualification de modèles numériques de surface de haute résolution spatiale par interférométrie radar à synthèse d'ouverture / Paul Landel (2012)
PermalinkJoint processing of Landsat and ALOS-PALSAR data for forest mapping and monitoring / E. Lehmann in IEEE Transactions on geoscience and remote sensing, vol 50 n° 1 (January 2012)
PermalinkLaplacian eigenmaps-based polarimetric dimensionality reduction for SAR image classification / S.T. Tu in IEEE Transactions on geoscience and remote sensing, vol 50 n° 1 (January 2012)
PermalinkPermalinkA multifrequency polarimetric SAR processing chain to observe oil fields in the Gulf of Mexico / M. Migliaccio in IEEE Transactions on geoscience and remote sensing, vol 49 n° 12 Tome 1 (December 2011)
PermalinkCartographie des linéaments et lithologique dans le secteur de Sebt Brikyne (jonction Doukkala-Rehamna, Maroc) par l'utilisation de l'imagerie satellitaire optique et radar / K. Labassi in Revue Française de Photogrammétrie et de Télédétection, n° 195 (Novembre 2011)
PermalinkImproving the Wishart synthetic aperture radar image classifications through deterministic simulated annealing / F. Sanchez-Llado in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 (November 2011)
PermalinkPhosphate mine subsidences deduced from differential interferometry (DInSAR): The Moulares case example (southern Atlas of Tunisia) / Mehdi Ben Hassen in Comptes rendus : Géoscience, vol 343 n° 11-12 (November - December 2011)
PermalinkInterference suppression algorithm for SAR based on time-frequency transform / S. Zhang in IEEE Transactions on geoscience and remote sensing, vol 49 n° 10 Tome 1 (October 2011)
PermalinkPerformance requirements for ionospheric correction of low-frequency SAR data / J. Meyer in IEEE Transactions on geoscience and remote sensing, vol 49 n° 10 Tome 1 (October 2011)
PermalinkRadar backscatter mapping using TerraSAR-X / P. Rizzoli in IEEE Transactions on geoscience and remote sensing, vol 49 n° 10 Tome 1 (October 2011)
PermalinkEvaluation of the RPC model as a replacement for the spaceborne InSAR phase equation / G. Zhang in Photogrammetric record, vol 26 n° 135 (September - November 2011)
PermalinkPrediction of the error induced by topography in satellite microwave radiometric observations / Luca Pulvirenti in IEEE Transactions on geoscience and remote sensing, vol 49 n° 9 (September 2011)
PermalinkThree-dimensional humidity retrieval using a network of compact microwave radiometers to correct for variations in wet tropospheric path delay in spaceborne interferometric SAR imagery / S. Sahoo in IEEE Transactions on geoscience and remote sensing, vol 49 n° 9 (September 2011)
PermalinkOverview and applications of RADARSAT-1 and RADARSAT-2 / R. Magagi in Photo interprétation, European journal of applied remote sensing, vol 47 n° 2 - 3 (juin 2011)
PermalinkElectromagnetic land surface classification through integration of optical and radar remote sensing data / J. Baek in IEEE Transactions on geoscience and remote sensing, vol 49 n° 4 (April 2011)
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