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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)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 50 n° 2 (February 2012) . - pp 593 - 605 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'image Résumé : (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 [article]

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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)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 66 n° 6 (November 2011) . - pp 845 - 857 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 Wishart Résumé : (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 [article]

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Edge enhancement algorithm based on the wavelet transform for automatic edge detection InSAR images / Mariví Tello Alonso in IEEE Transactions on geoscience and remote sensing, vol 49 n° 1 Tome 1 (January 2011)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 49 n° 1 Tome 1 (January 2011) . - pp 222 - 235 Titre : Edge enhancement algorithm based on the wavelet transform for automatic edge detection InSAR images Type de document : Article/Communication Auteurs : Mariví Tello Alonso, Auteur ; C. Lopez-Martinez, Auteur ; J. Mallorqui, Auteur ; P. Salembier, Auteur Année de publication : 2011 Conférence : IGARSS 2009, International Geoscience And Remote Sensing Symposium 12/07/2009 17/07/2009 Le Cap Afrique du sud Proceedings IEEE Article en page(s) : pp 222 - 235 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] accentuation de contours [Termes IGN] détection automatique [Termes IGN] détection de contours [Termes IGN] image radar moirée [Termes IGN] interféromètrie par radar à antenne synthétique [Termes IGN] trait de côte [Termes IGN] transformation en ondelettes Résumé : (Auteur) This paper presents a novel technique for automatic edge enhancement and detection in synthetic aperture radar (SAR) images. The characteristics of SAR images justify the importance of an edge enhancement step prior to edge detection. Therefore, this paper presents a robust and unsupervised edge enhancement algorithm based on a combination of wavelet coefficients at different scales. The performance of the method is first tested on simulated images. Then, in order to complete the automatic detection chain, among the different options for the decision stage, the use of geodesic active contour is proposed. The second part of this paper suggests the extraction of the coastline in SAR images as a particular case of edge detection. Hence, after highlighting its practical interest, the technique that is theoretically presented in the first part of this paper is applied to real scenarios. Finally, the chances of its operational capability are assessed. Numéro de notice : A2011-050 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2010.2052814 Date de publication en ligne : 26/07/2010 En ligne : https://doi.org/10.1109/TGRS.2010.2052814 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30831 [article]

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Polarimetric SAR speckle noise model / C. Lopez-Martinez in IEEE Transactions on geoscience and remote sensing, vol 41 n° 10 (October 2003)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 41 n° 10 (October 2003) . - pp 2232 - 2242 Titre : Polarimetric SAR speckle noise model Type de document : Article/Communication Auteurs : C. Lopez-Martinez, Auteur ; X. Fabregas, Auteur Année de publication : 2003 Article en page(s) : pp 2232 - 2242 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] bande L [Termes IGN] chatoiement [Termes IGN] filtrage du bruit [Termes IGN] image radar moirée [Termes IGN] matrice de covariance [Termes IGN] polarimétrie Résumé : (Auteur) Synthetic aperture radar (SAR) data are affected by speckle noise, originated by the SAR system's coherent nature. The problem of speckle noise in one-dimensional (1-D) data is already solved, as speckle has a multiplicative characteristic. SAR polarimetry represents an extension to multidimensional data by the use of polarization wave diversity. As a consequence of the existence of a correlation degree between the SAR images, the 1-D speckle noise model cannot be extended to multidimensional SAR data. This paper is devoted to present a completely new speckle noise model for the complex covariance matrix describing polarimetric SAR data in the distributed scatterers case. As will be shown, this new model is able to identify which are the noise mechanisms in all the covariance matrix elements. The speckle noise model is validated by using real L-band polarimetric data acquired with the German E-SAR sensor. Numéro de notice : A2003-351 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.815240 En ligne : https://doi.org/10.1109/TGRS.2003.815240 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26431 [article]

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Modeling and reduction of SAR interferometric phase noise in the wavelet domain / C. Lopez-Martinez in IEEE Transactions on geoscience and remote sensing, vol 40 n° 12 (December 2002)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 40 n° 12 (December 2002) . - pp 2553 - 2566 Titre : Modeling and reduction of SAR interferometric phase noise in the wavelet domain Type de document : Article/Communication Auteurs : C. Lopez-Martinez, Auteur ; X. Fabregas, Auteur Année de publication : 2002 Article en page(s) : pp 2553 - 2566 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] algorithme de filtrage [Termes IGN] bruit (théorie du signal) [Termes IGN] modélisation [Termes IGN] phase [Termes IGN] transformation en ondelettes Résumé : (Auteur) This paper addresses the problem of interferometric phase noise reduction in synthetic aperture radar interferometry. A new phase noise model in the complex domain is introduced and validated by using both simulated and real interferograms. This noise model is also derived in the complex wavelet domain, where a novel noise reduction algorithm, which is not based on a windowing process and without the necessity of phase unwrapping, is addressed. The use of the wavelet transform allows to maintain the spatial resolution in the filtered phase image and prevents to filter low coherence areas. By using both, simulated as well as real interferometric phase images, the performance of this algorithm, in terms of noise reduction, spatial resolution maintenance, and computational efficiency, is reported and compared with other conventional filtering approaches. Numéro de notice : A2002-347 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2002.806997 En ligne : https://doi.org/10.1109/TGRS.2002.806997 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22258 [article]

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065-02121	RAB	Revue	Centre de documentation	En réserve L003	Disponible