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Modeling and simulation of polarimetric hyperspectral imaging process / Junping Zhang in IEEE Transactions on geoscience and remote sensing, vol 50 n° 6 (June 2012)
[article]
Titre : Modeling and simulation of polarimetric hyperspectral imaging process Type de document : Article/Communication Auteurs : Junping Zhang, Auteur ; J. Chen, Auteur ; B. Zou, Auteur ; Y. Zhang, Auteur Année de publication : 2012 Article en page(s) : pp 2238 - 2253 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] données polarimétriques
[Termes IGN] image hyperspectrale
[Termes IGN] modélisation de prise de vue
[Termes IGN] polarisation
[Termes IGN] réflectance végétale
[Termes IGN] simulation d'imageRésumé : (Auteur) Polarimetric hyperspectral images can provide spectral, spatial, and polarimetric information of a scene, which are unique and comprehensive for remote sensing applications such as growth monitoring of crops, analysis of water quality, and geology mapping, etc. The researches on polarimetric hyperspectral imaging mechanism and on image characteristics are of great importance for further information extraction and utilization of the images. The purposes of this paper are to analyze the mechanism of polarimetric hyperspectral imaging and to model such a process. The outcome of the paper will help designers and users of a polarimetric hyperspectral imaging system to further understand the system and take full advantages of it. In this paper, a polarimetric hyperspectral imaging model is proposed, in which the influence of skylight on polarization is considered, and subpixel model, polarized reflectance models, and the classical fast canopy reflectance model are combined to model the vegetation canopy. Then, a simulated scene that includes a woodland area with low shrubbery and a road is obtained by using the imaging model. Experiments analyze and discuss the simulation condition and parameters of the imaging models, the uniqueness, and usefulness of the integration of polarimetric and spectral information. Numéro de notice : A2012-265 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2172618 Date de publication en ligne : 28/11/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2172618 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31711
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 6 (June 2012) . - pp 2238 - 2253[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2012061 RAB Revue Centre de documentation En réserve L003 Disponible Filtering and segmentation of polarimetric SAR data based on binary partition trees / A. Alonso-Gonzalez in IEEE Transactions on geoscience and remote sensing, vol 50 n° 2 (February 2012)
[article]
Titre : Filtering and segmentation of polarimetric SAR data based on binary partition trees Type de document : Article/Communication Auteurs : A. Alonso-Gonzalez, Auteur ; C. Lopez-Martinez, Auteur ; P. Salembier, Auteur Année de publication : 2012 Article en page(s) : pp 593 - 605 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] arbre-B
[Termes IGN] données polarimétriques
[Termes IGN] filtre de déchatoiement
[Termes IGN] polarimétrie radar
[Termes IGN] segmentation d'imageRésumé : (Auteur) In this paper, we propose the use of binary partition trees (BPT) to introduce a novel region-based and multi-scale polarimetric SAR (PolSAR) data representation. The BPT structure represents homogeneous regions in the data at different detail levels. The construction process of the BPT is based, firstly, on a region model able to represent the homogeneous areas, and, secondly, on a dissimilarity measure in order to identify similar areas and define the merging sequence. Depending on the final application, a BPT pruning strategy needs to be introduced. In this paper, we focus on the application of BPT PolSAR data representation for speckle noise filtering and data segmentation on the basis of the Gaussian hypothesis, where the average covariance or coherency matrices are considered as a region model. We introduce and quantitatively analyze different dissimilarity measures. In this case, and with the objective to be sensitive to the complete polarimetric information under the Gaussian hypothesis, dissimilarity measures considering the complete covariance or coherency matrices are employed. When confronted to PolSAR speckle filtering, two pruning strategies are detailed and evaluated. As presented, the BPT PolSAR speckle filter defined filters data according to the complete polarimetric information. As shown, this novel filtering approach is able to achieve very strong filtering while preserving the spatial resolution and the polarimetric information. Finally, the BPT representation structure is employed for high spatial resolution image segmentation applied to coastline detection. The analyses detailed in this work are based on simulated, as well as on real PolSAR data acquired by the ESAR system of DLR and the RADARSAT-2 system. Numéro de notice : A2012-048 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2160647 Date de publication en ligne : 04/08/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2160647 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31496
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 2 (February 2012) . - pp 593 - 605[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2012021 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)
[article]
Titre : Markov Chain CFAR detection for polarimetric data using data fusion Type de document : Article/Communication Auteurs : C. Fei, Auteur ; T. Liu, Auteur ; G. Lampropoulos, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 397 - 408 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] chaîne de Markov
[Termes IGN] données polarimétriques
[Termes IGN] fusion d'images
[Termes IGN] image radar moirée
[Termes IGN] image Radarsat
[Termes IGN] polarimétrie radarRésumé : (Auteur) This paper proposes a new Markov-chain-based constant false alarm rate (CFAR) detector for polarimetric data using low-level data fusion and high-level decision fusion. The Markov-chain-based CFAR detector extends traditional probability density function (pdf) based CFAR detection to first-order Markov chain model by considering both correlation between neighboring pixels and pdf information in CFAR detection. With the additional correlation information, the proposed approach results in advancing the performance of conventional CFAR detectors. Moreover, to take advantage of full polarizations of polarimetric data, various data fusion methods are considered to improve detection performance, including polarimetric transformation, principal component analysis, and decision fusion. Our experimental results confirm the superiority of the new Markov chain polarimetric CFAR detector over conventional pdf-based CFAR detectors. Numéro de notice : A2012-044 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2164257 Date de publication en ligne : 15/09/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2164257 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31492
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 2 (February 2012) . - pp 397 - 408[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2012021 RAB Revue Centre de documentation En réserve L003 Disponible Characterization 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)
[article]
Titre : Characterization of Arctic sea ice thickness using high-resolution spaceborne polarimetric SAR data Type de document : Article/Communication Auteurs : J.W. Kim, Auteur ; D.J. Kim, Auteur ; B.J. Hwang, Auteur Année de publication : 2012 Article en page(s) : pp 13 - 22 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Arctique, océan
[Termes IGN] bande C
[Termes IGN] bande X
[Termes IGN] données polarimétriques
[Termes IGN] épaisseur de la glace
[Termes IGN] glace de mer
[Termes IGN] image Radarsat
[Termes IGN] image TerraSAR-X
[Termes IGN] polarimétrie radar
[Termes IGN] polarisation
[Termes IGN] polarisation croisée
[Termes IGN] télédétection en hyperfréquenceRésumé : (Auteur) In this paper, we have investigated the relationship between the depolarization effects and the wintertime sea ice thickness in the landfast ice region where smooth thick first-year ice (FYI) and deformed old ice coexisted by using C- and X-band spaceborne polarimetric synthetic aperture radar (SAR) data (RADARSAT-2 and TerraSAR-X). We have found a strong correlation between the in situ sea ice thickness and the SAR-derived depolarization factors (copolarized correlation and cross-polarized ratio). The observed relationships have demonstrated not only a categorical difference between FYI and multiyear ice (MYI) but also a one-to-one continuity in the scatter plots, rather than being clustered. It clearly shows that the observed correlations are not merely from the categorical difference in scattering mechanism between FYI and MYI and that there might exist a one-to-one relationship between thickness and depolarization factors at least in our deformed ice case. This suggests that depolarization factors could be effective SAR parameters in the estimation of wintertime sea ice thickness. Numerical model simulations explained some portions of the correlation by employing multiple scattering on the sea ice surface and volume scattering within the low-density subsurface layer. Numéro de notice : A2012-030 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2160070 Date de publication en ligne : 29/07/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2160070 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31478
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 1 (January 2012) . - pp 13 - 22[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2012011 RAB Revue Centre de documentation En réserve L003 Disponible Improving 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)
[article]
Titre : Improving the Wishart synthetic aperture radar image classifications through deterministic simulated annealing Type de document : Article/Communication Auteurs : F. Sanchez-Llado, Auteur ; G. Pajares, Auteur ; C. Lopez-Martinez, Auteur Année de publication : 2011 Article en page(s) : pp 845 - 857 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] algorithme du recuit simulé
[Termes IGN] classification dirigée
[Termes IGN] données polarimétriques
[Termes IGN] image radar moirée
[Termes IGN] loi de WishartRésumé : (Auteur) This paper proposes the use of Deterministic Simulated Annealing (DSA) for Synthetic Aperture Radar (SAR) image classification for cluster refinement. We use the initial classification provided by the maximum-likelihood classifier based on the complex Wishart distribution that is then supplied to the DSA optimization approach. The goal is to improve the classification results obtained by the Wishart approach. The improvement is verified by computing a cluster separability coefficient. During the DSA optimization process, for each iteration and for each pixel, two consistency coefficients are computed taking into account two kinds of relations between the pixel under consideration and its neighbors. Based on these coefficients and on the information coming from the pixel itself, it is re-classified. Several experiments are carried out to verify that the proposed approach outperforms the Wishart strategy. We try to improve the classification results by considering the spatial influences received by a pixel through its neighbors. Finally, a link about the contribution of DSA to thematic mapping is also established. Numéro de notice : A2011-472 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2011.09.007 En ligne : https://doi.org/10.1016/j.isprsjprs.2011.09.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31366
in ISPRS Journal of photogrammetry and remote sensing > vol 66 n° 6 (November 2011) . - pp 845 - 857[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-2011061 SL Revue Centre de documentation Revues en salle Disponible The effect of orientation angle compensation on coherency matrix and polarimetric target decompositions / Jong-Sen Lee in IEEE Transactions on geoscience and remote sensing, vol 49 n° 1 Tome 1 (January 2011)PermalinkStatus and future of laser scanning, synthetic aperture radar and hyperspectral remote sensing data for forest biomass assessment / B. Koch in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 6 (November - December 2010)PermalinkPrediction, detection and correction of Faraday: rotation in full-polarimetric L-Band SAR data / F.J. Meyer in IEEE Transactions on geoscience and remote sensing, vol 46 n° 10 Tome 2 (October 2008)PermalinkThe compact polarimetry alternative for spaceborne SAR at low frequency / P. Dubois-Fernandez in IEEE Transactions on geoscience and remote sensing, vol 46 n° 10 Tome 2 (October 2008)PermalinkEstuarine shoreline change detection using Japanese ALOS PALSAR HH and JERS-1 L-HH SAR data in the Albemarle-Pamlico Sounds, North Carolina, USA / Y. Wang in International Journal of Remote Sensing IJRS, vol 29 n° 15-16 (August 2008)PermalinkApplications of ICA for the enhancement and classification of polarimetric SAR images / H. Wang in International Journal of Remote Sensing IJRS, vol 29 n° 6 (March 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)PermalinkEvaluation de la classification WISHART sur des données radar polarimétriques et application au Gabon / G. Roussel (2008)PermalinkA new application for PolSAR imagery in the field of moving target indication/ship detection / C. Liu in IEEE Transactions on geoscience and remote sensing, vol 45 n° 11 Tome 1 (November 2007)PermalinkComparison of L- and X-band PolSAR data for characterization of polarization orientation angle shift induced by man-made structure / K. Iribe (2007)Permalink