International Journal of Remote Sensing IJRS / Remote sensing and photogrammetry society . vol 29 n° 6Paru le : 20/03/2008 |
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est un bulletin de International Journal of Remote Sensing IJRS / Remote sensing and photogrammetry society (1980 -)
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Ajouter le résultat dans votre panierApplications 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)
[article]
Titre : Applications of ICA for the enhancement and classification of polarimetric SAR images Type de document : Article/Communication Auteurs : H. Wang, Auteur ; Y. Pi, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 1649 - 1663 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] analyse en composantes indépendantes
[Termes IGN] couleur à l'écran
[Termes IGN] données polarimétriques
[Termes IGN] filtre de déchatoiement
[Termes IGN] image en couleur composée
[Termes IGN] image radar moirée
[Termes IGN] image RVBRésumé : (Auteur) Independent components analysis (ICA) based methods for polarimetric synthetic aperture radar (SAR) image speckle reduction and ground object classification are studied. Several independent components can be extracted from polarimetric SAR images using ICA directly. The component with lowest speckle index is regarded as the scene after speckle reduction. The disadvantage of this method is that only one image is kept and most polarization information will be lost. In this paper, we use ICA-sparse-coding shrinkage (ICA-SPS) based speckle reduction method, which is implemented on each individual image and can keep polarization information. It is carried out on the combined channels obtained by Pauli-decomposition rather than original polarization channels in order to keep relative phase information among polarization channels and get better performance. After ICA-SPS, the effect of speckle suppression on SAR image classification can be compared favourably with other methods by combining the channels into a false colour image. At last, a new ICA-based classification method is presented. In this method, four independent components are separated by ICA from five polarization and combined channels. One of these independent components which includes little ground object information is regarded as speckle noise and therefore be discarded. The remaining three components can be treated as subordination coefficients of three kinds of targets. A classified image can be obtained based on the components. And by composing these three channels in RGB colour pattern, a false colour image can be constructed. Numéro de notice : A2008-085 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160701395211 En ligne : https://doi.org/10.1080/01431160701395211 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29080
in International Journal of Remote Sensing IJRS > vol 29 n° 6 (March 2008) . - pp 1649 - 1663[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-08041 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Two-scale surface deformation analysis using the SBAS-DInSAR technique: a case study of the city of Rome, Italy / M. Manunta in International Journal of Remote Sensing IJRS, vol 29 n° 6 (March 2008)
[article]
Titre : Two-scale surface deformation analysis using the SBAS-DInSAR technique: a case study of the city of Rome, Italy Type de document : Article/Communication Auteurs : M. Manunta, Auteur ; M. Marsella, Auteur ; G. Zeni, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 1665 - 1684 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] analyse diachronique
[Termes IGN] déformation d'édifice
[Termes IGN] déformation de surface
[Termes IGN] grande échelle
[Termes IGN] image ERS-SAR
[Termes IGN] interferométrie différentielle
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] lit majeur
[Termes IGN] petite échelle
[Termes IGN] plaine
[Termes IGN] Rome
[Termes IGN] surveillance de l'urbanisationRésumé : (Auteur) We have exploited the capability of the differential synthetic aperture radar (SAR) interferometry (DInSAR) technique, referred to as Small BAseline Subset (SBAS) approach, to analyse surface deformation at two distinct spatial scales: a low resolution, large scale, and a fine resolution, local scale. At the large scale, the technique investigates DInSAR data with a ground resolution of the order of 100 m*100 m and leads to generate mean deformation velocity maps and associated time series for areas extending to some thousands of square kilometres. At the local scale, the technique exploits the SAR images at full spatial resolution (typically of the order of 5 m*20 m), detecting and analysing localized deformation phenomena. The study is focused on the city of Rome, Italy, and we used the ERS-1/2 satellite radar data relevant to the 1995-2000 time period. The presented results demonstrate the capability of the SBAS approach to retrieve, from the low-resolution DInSAR data, large-scale deformation information leading to identify several sites affected by significant displacements. Our analysis permitted us to conclude that a major contribution to the detected displacements is due to the consolidation of the alluvial soils present in the area, mostly enforced by the buildings' overload. Furthermore, in a selected area, a detailed analysis was carried out by exploiting the full resolution DInSAR data. In this case we investigated deformation phenomena at the scale of single buildings. As key result we showed that differential displacements of few mm a-1, affecting single man-made structures or building complexes, could be detected, thus allowing to identify sites that may potentially be involved in critical situations. Copyright Taylor & Francis Numéro de notice : A2008-086 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160701395278 En ligne : https://doi.org/10.1080/01431160701395278 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29081
in International Journal of Remote Sensing IJRS > vol 29 n° 6 (March 2008) . - pp 1665 - 1684[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-08041 RAB Revue Centre de documentation En réserve L003 Exclu du prêt