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Study on the polarimetric characteristics of the Lop Nur arid area using PolSAR data / Zhihong Gao in Journal of applied remote sensing, vol 8 (2014)
[article]
Titre : Study on the polarimetric characteristics of the Lop Nur arid area using PolSAR data Type de document : Article/Communication Auteurs : Zhihong Gao, Auteur ; Huaze Gong, Auteur ; Xu Zhou, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : 14 p. Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] caractérisation
[Termes IGN] décomposition spectrale
[Termes IGN] données polarimétriques
[Termes IGN] image ALOS-PALSAR
[Termes IGN] image radar moirée
[Termes IGN] lac
[Termes IGN] polarimétrie radar
[Termes IGN] Sinkiang (Chine)
[Termes IGN] zone arideRésumé : (auteur) The quantitative study of the arid Lop Nur lake basin is significant to investigate the environmental changes in the arid area of northwestern China and extremely arid areas of Eurasia in general. Synthetic aperture radar (SAR) imagery, with its penetration capability and advantages for studying geological phenomena on a large spatial scale, is very suitable for analyzing the subsurface of the Lop Nur area. Based on the full polarimetric ALOS PALSAR data and field investigation, it was found that the two-layer scattering mechanism of the dry sediments is very special and complex. The scattering mechanism in the bright strips is more complex than that in the gray strips according to the co-polarization correlation analysis. The experimental results show that the Cloude–Pottier decomposition method is more appropriate for this area. Moreover, the polarimetric characteristics and Cloude-Pottier decomposition results are very important for the study of the past climatic change in Lop Nur area. In conclusion, full polarimetric SAR data and target decomposition theory provide a new technique for obtaining information and quantitatively studying the subsurface characteristics of arid areas. Numéro de notice : A2014-701 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1117/1.JRS.8.083681 En ligne : http://remotesensing.spiedigitallibrary.org/article.aspx?articleid=1828549 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75390
in Journal of applied remote sensing > vol 8 (2014) . - 14 p.[article]