Time Series Analysis of Multi-Polarisation Synthetic Aperture Radar Images with a Textural-Contextual Model
Conference: EUSAR 2012 - 9th European Conference on Synthetic Aperture Radar
04/23/2012 - 04/26/2012 at Nuremberg, Germany
Proceedings: EUSAR 2012
Pages: 4Language: englishTyp: PDFPersonal VDE Members are entitled to a 10% discount on this title
Akbari, Vahid; Doulgeris, Anthony; Eltoft, Torbjørn (Department of Physics and Technology, University of Tromsø, 9037 Tromsø, Norway)
This paper presents a methodology for post-classification change detection of Arctic glaciers from multi-polarimetric synthetic aperture radar (SAR) images. Specifically, an unsupervised contextual non- Gaussian clustering algorithm is used for segmentation of sequences of multi-polarimetric SAR images into glacier facies. Subsequently, the segmented 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 Envisat ASAR images over the Kongsvegen glacier, Svalbard, is used for demonstration.