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IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 1 Monitoring Glacier Changes Using Multitemporal Multipolarization SAR Images
| Content Provider | CiteSeerX |
|---|---|
| Author | Akbari, Vahid Doulgeris, Anthony P. Eltoft, Torbjørn |
| Abstract | Abstract—This paper presents a processing chain for the change detection of Arctic glaciers from multitemporal multipolariza-tion 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 as well as azimuth slope variations on polarization signature. An unsupervised contextual non-Gaussian clustering algorithm is em-ployed for the segmentation of each terrain-corrected polarimetric SAR image and subsequently labeled with the aid of ground-truth data into glacier facies. We demonstrate the consistency of the seg-mentation algorithm by characterizing the expected random error level for different SAR acquisition conditions. This allows us to determine whether an observed variation is statistically significant and therefore can be used for the postclassification change detec-tion of Arctic glaciers. Subsequently, the average classified images of succeeding years are compared, and changes are identified as the detected differences in the location of boundaries between glacier facies. In the current analysis, a series of dual-polarization C-band Environmental Satellite (ENVISAT) Advanced Synthetic Aperture Radar (ASAR) images over the Kongsvegen glacier, Svalbard, is used for demonstration. Index Terms—Matrix log-cumulant diagram, multilook product model, polarimetric synthetic aperture radar (PolSAR), postclas-sification change detection, radiometric terrain correction (RTC), unsupervised contextual non-Gaussian segmentation. I. |
| File Format | |
| Access Restriction | Open |
| Content Type | Text |
