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Wavelet-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)
[article]
Titre : Wavelet-Based Compressed Sensing for SAR Tomography of Forested Areas Type de document : Article/Communication Auteurs : Esteban Aguilera, Auteur ; Matteo Nannini, Auteur ; Andreas Reigber, Auteur Année de publication : 2013 Article en page(s) : pp 5283 - 5295 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] Allemagne
[Termes IGN] bande L
[Termes IGN] compression par ondelettes
[Termes IGN] données polarimétriques
[Termes IGN] forêt
[Termes IGN] image E-SAR
[Termes IGN] image radar moirée
[Termes IGN] image Radarsat
[Termes IGN] polarimétrie radar
[Termes IGN] tomographie radarRésumé : (Auteur) Synthetic aperture radar (SAR) tomography is a 3-D imaging modality that is commonly tackled by spectral estimation techniques. Thus, the backscattered power along the cross-range direction can be readily obtained by computing the Fourier spectrum of a stack of multibaseline measurements. In addition, recent work has addressed the tomographic inversion under the framework of compressed sensing, thereby recovering sparse cross-range profiles from a reduced set of measurements. This paper differs from previous publications, in that it focuses on sparse expansions in the wavelet domain while working with the second-order statistics of the corresponding multibaseline measurements. In this regard, we elaborate on the conditions under which this perspective is applicable to forested areas and discuss the possibility of optimizing the acquisition geometry. Finally, we compare this approach with traditional nonparametric ones and validate it by using fully polarimetric L-band data acquired by the Experimental SAR (E-SAR) sensor of the German Aerospace Center (DLR). Numéro de notice : A2013-696 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2231081 En ligne : https://doi.org/10.1109/TGRS.2012.2231081 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32832
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 12 (December 2013) . - pp 5283 - 5295[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2013121 RAB Revue Centre de documentation En réserve L003 Disponible An 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)
[article]
Titre : An improved PolSAR image speckle reduction algorithm based on structural judgment and hybrid four-component polarimetric decomposition Type de document : Article/Communication Auteurs : Zegang Ding, Auteur ; Tao Zeng, Auteur ; Fei Dong, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 4438 - 4449 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] décomposition d'image
[Termes IGN] filtre de déchatoiement
[Termes IGN] image radar moirée
[Termes IGN] image Radarsat
[Termes IGN] polarimétrie radarRésumé : (Auteur) Aiming at the structural feature and polarimetric property preservation in speckle reduction of polarimetric synthetic aperture radar images, an improved speckle reduction algorithm based on structural judgment and hybrid four-component polarimetric decomposition (HPD) is developed. To protect the structural feature, a new structural judgment based on edge masks and pixels' sort is used for dividing pixels into three structural categories: bright, dark, and common targets. To protect the polarimetric property, a new scattering classification with HPD is employed to divide further the dark and common targets into four scattering classes. HPD inherits the physical significance of Pauli and Yamaguchi decomposition with its advantage of less time consumption. After that, without bright targets, a dark or a common pixel centered in a sliding window is filtered. To achieve better filtering results, pixels in its same and three neighboring scattering clusters from the same structural category are selected to filter. The experimental results of the UAVSAR and RADARSAT-2 data illuminate the validity of our proposed method. Numéro de notice : A2013-416 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2270036 En ligne : https://doi.org/10.1109/TGRS.2013.2270036 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32554
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 8 (August 2013) . - pp 4438 - 4449[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2013081 RAB Revue Centre de documentation En réserve L003 Disponible Forest biomass estimation using texture measurements of high-resolution dual-polarization C-band SAR data / Latifur Rahman Sarker in IEEE Transactions on geoscience and remote sensing, vol 51 n° 6 Tome 1 (June 2013)
[article]
Titre : Forest biomass estimation using texture measurements of high-resolution dual-polarization C-band SAR data Type de document : Article/Communication Auteurs : Latifur Rahman Sarker, Auteur ; Janet Nichol, Auteur ; Husseyin Baki Iz, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 3371 - 3384 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] angle d'incidence
[Termes IGN] bande C
[Termes IGN] biomasse forestière
[Termes IGN] données de terrain
[Termes IGN] forêt tropicale
[Termes IGN] image Radarsat
[Termes IGN] polarimétrie radar
[Termes IGN] polarisation croisée
[Termes IGN] teneur en carbone
[Termes IGN] texture d'imageRésumé : (Auteur) Recent synthetic aperture radar (SAR) sensors with a capability of providing data with varying spatial resolutions, polarizations, and incidence angles have attracted greater interest for forest biomass and carbon storage estimation. This study investigates the capability of RADARSAT-2 fine-beam dual-polarization (C-HV and C-HH) data for forest biomass estimation in complex subtropical forest, with different types of processing: 1) raw intensity data (both polarizations separately and as polarization ratio) and 2) texture parameters of both polarizations (separately, jointly, and as polarization ratio). Field data (diameter at breast height and height) were collected from 53 field plots and converted to biomass (dry weight) using a newly developed allometric model. Finally, biomass estimation models were developed between SAR signatures from different processing steps and field plot biomass using stepwise multiple regression. All biomass estimation models using radar intensity data (C-HV, C-HH, and ratio of C-HV and C-HH) proved ineffective, but texture parameters derived from intensity data showed potential. We were able to estimate forest biomass amounts up to 360 t/ha with a goodness of fit of 0.78 (adjusted r2) and an rmse of 28.68 t/ha using the combination of texture parameters of both polarizations (C-HV and C-HH). However, goodness of fit could be improved to 0.91 (adjusted r2) and an rmse of 26.95 t/ha for biomass levels up to 532 t/ha using the ratio of texture parameters of C-HV/C-HH. The result is very encouraging and indicates that the dual-polarization C-band SAR sensor has a potential for the estimation of forest biomass, particularly using the polarization ratio of texture measurements, and biomass estimation can be improved substantially beyond the previously stated saturation level for C-band SAR. Numéro de notice : A2013-300 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2219872 En ligne : https://doi.org/10.1109/TGRS.2012.2219872 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32438
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 6 Tome 1 (June 2013) . - pp 3371 - 3384[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2013061A RAB Revue Centre de documentation En réserve L003 Disponible A new polarimetric change detector in radar imagery / Armando Marino in IEEE Transactions on geoscience and remote sensing, vol 51 n° 5 Tome 2 (May 2013)
[article]
Titre : A new polarimetric change detector in radar imagery Type de document : Article/Communication Auteurs : Armando Marino, Auteur ; Shane R. Cloude, Auteur ; Juan M. Lopez-Sanchez, Auteur Année de publication : 2013 Article en page(s) : pp 2986 - 3000 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] bande C
[Termes IGN] bande L
[Termes IGN] bande X
[Termes IGN] changement d'occupation du sol
[Termes IGN] détection de changement
[Termes IGN] image E-SAR
[Termes IGN] image Radarsat
[Termes IGN] image TerraSAR-X
[Termes IGN] polarimétrie radar
[Termes IGN] utilisation du solRésumé : (Auteur) In modern society, the anthropogenic influences on ecosystems are central points to understand the evolution of our planet. A polarimetric synthetic aperture radar may have a significant contribution in tackling problems concerning land use change, since such data are available with any-weather conditions. Additionally, the discrimination capability can be enhanced by the polarimetric analysis. Recently, an algorithm able to identify targets scattering an electromagnetic wave with any degree of polarization has been developed, which makes use of a vector rearrangement of the elements of the coherency matrix. In the present work, this target detector is modified to perform change detection between two polarimetric acquisitions, for land use monitoring purposes. Regarding the selection of the detector parameters, a physical rationale is followed, developing a new parameterization of the algebraic space where the detector is defined. As it will be illustrated in the following, this space is 6-D complex with restrictions due to the physical feasibility of the vectors. Specifically, a link between the detector parameters and the angle differences of the eigenvector model is obtained. Moreover, a dual polarimetric version of the change detector is developed, in case quad-polarimetric data are not available. With the purpose of testing the methodology, a variety of data sets were exploited: quad-polarimetric airborne data at L-band (E-SAR), quad-polarimetric satellite data at C-band (Radarsat-2), and dual-polarimetric satellite data at X-band (TerraSAR-X). The algorithm results show agreement with the available information about land changes. Moreover, a comparison with a known change detector based on the maximum likelihood ratio is presented, providing improvements in some conditions. The two methodologies differ in the analysis of the total amplitude of the backscattering, where the proposed algorithm does not take this into consideration. Numéro de notice : A2013-270 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2211883 En ligne : https://doi.org/10.1109/TGRS.2012.2211883 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32408
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 5 Tome 2 (May 2013) . - pp 2986 - 3000[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2013051B RAB Revue Centre de documentation En réserve L003 Disponible From previous C-Band to new X-band SAR systems : Assessment of the DInSAR mapping improvement for deformation time-series retrieval in urban areas / Manuela Bonano in IEEE Transactions on geoscience and remote sensing, vol 51 n° 4 Tome 1 (April 2013)
[article]
Titre : From previous C-Band to new X-band SAR systems : Assessment of the DInSAR mapping improvement for deformation time-series retrieval in urban areas Type de document : Article/Communication Auteurs : Manuela Bonano, Auteur ; Michele Manunta, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 1973 - 1984 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] analyse comparative
[Termes IGN] bande C
[Termes IGN] bande X
[Termes IGN] déformation d'édifice
[Termes IGN] image Cosmo-Skymed
[Termes IGN] image Envisat
[Termes IGN] image radar moirée
[Termes IGN] image Radarsat
[Termes IGN] interferométrie différentielle
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] Naples
[Termes IGN] série temporelle
[Termes IGN] zone urbaineRésumé : (Auteur) We investigate the capability improvement of the advanced differential interferometric synthetic aperture radar (DInSAR) techniques to map deformation phenomena affecting urban areas by exploiting multitemporal SAR data acquired by the new X-band sensors with respect to those of the previous C-band systems. In particular, we perform a comparative analysis of the deformation time-series retrieved by applying the full-resolution Small BAseline Subset DInSAR technique to selected sequences of SAR data acquired by the ENVISAT and RADARSAT-1 sensors (both operating at C-band) and by the X-band radar systems onboard the SAR sensors of the COSMO-SkyMed (CSK) constellation. This study, focused on the city of Napoli (Italy), allows us to quantify the dramatic increase of the DInSAR coherent pixel density achieved by exploiting the high-resolution X-band CSK SAR images (a few meters), resulting in an improvement factor of about 320% and 550%, with respect to the RADARSAT-1 and ENVISAT products, respectively. This improvement permits us to analyze nearly all the structures located within the investigated urbanized area and, in many cases, also portions of the same building. The improved coherent pixel spatial densities, combined with the reduced revisit times of the new X-band SAR missions, allow us to significantly increase the effectiveness of the advanced DInSAR methodologies, further extending the role of those Earth Observation data in the development of monitoring scenarios. Numéro de notice : A2013-212 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2215332 En ligne : https://doi.org/10.1109/TGRS.2012.2215332 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32350
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 4 Tome 1 (April 2013) . - pp 1973 - 1984[article]Radarsat-2: A powerful solution for global forest monitoring needs / M.W. Van Der Kooij in GEO: Geoconnexion international, vol 12 n° 2 (february 2013)PermalinkComparaison et évaluation de méthodes d'extraction automatique d'objets sur des images optique et radar / Charlotte Benedetto (2013)PermalinkEvaluation de l'apport de la télédétection radar pour la cartographie des végétations dans le Parc du Pilat / Cécile Cazals (2013)PermalinkFusion d'informations issue de la télédétection radar pour l'observation de déplacements dans la région de Manaus (Amazonie) / F.L. Ramos in Revue Française de Photogrammétrie et de Télédétection, n° 198 - 199 (Septembre 2012)PermalinkSnowSAR: Battling climate change for ESA / A. Meta in GEO: Geoconnexion international, vol 11 n° 8 (september 2012)PermalinkA comparative analysis of ALOS PALSAR L-band and RADARSAT-2 C-band data for land-cover classification in a tropical moist region / Dong Lu ; E. Moran ; et al. in ISPRS Journal of photogrammetry and remote sensing, vol 70 (June 2012)PermalinkUtilisation de l'imagerie radar TerraSar-X THRS pour le suivi de la coupe de canne à sucre à l'île de la Réunion / Nicolas Baghdadi in Revue Française de Photogrammétrie et de Télédétection, n° 197 (Juin 2012)PermalinkMarkov 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)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)PermalinkA "new hybrid" modelling for geometric processing of Radarsat-2 data without user's GCP / Thierry Toutin in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 6 (June 2011)Permalink