Monitoring Glacier Changes Using Multitemporal Multipolarization SAR Images

This paper presents a processing chain for the change detection of Arctic glaciers from multitemporal multipolarization synthetic aperture radar (SAR) images. We produce terrain-corrected multilook complex covariance data by including the effects of topography on both geolocation and SAR radiometry...

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Vydáno v:	IEEE transactions on geoscience and remote sensing Ročník 52; číslo 6; s. 3729 - 3741
Hlavní autoři:	Akbari, Vahid, Doulgeris, Anthony P., Eltoft, Torbjorn
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.06.2014 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Backscatter Change detection Covariance matrices Data models Glaciers Image detection Matrix log-cumulant diagram multilook product model polarimetric synthetic aperture radar (PolSAR) postclassification change detection Radar radiometric terrain correction (RTC) Radiometry Scattering Segmentation Signatures Slopes Synthetic aperture radar unsupervised contextual non-Gaussian segmentation Vectors Arctic region Norway, Svalbard PN, Arctic Norway, Svalbard, Spitsbergen, Kongsvegen multilook product model postclassification change detection Matrix log-cumulant diagram polarimetric synthetic aperture radar (PolSAR) radiometric terrain correction (RTC) unsupervised contextual non-Gaussian segmentation
ISSN:	0196-2892, 1558-0644
On-line přístup:	Získat plný text
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