Title :
Survey on unsupervised change detection techniques in SAR images1
Author :
Weilong Ren ; Jianshe Song ; Song Tian ; Wenfeng Wu
Author_Institution :
Xi´an Hi-Tech Inst., Xi´an, China
Abstract :
SAR (synthetic aperture radar) images have been successfully used in change detection in different conditions. A systematic survey of the generally used methodologies for unsupervised change detection based on SAR images are presented in this paper. Speckle suppression, which is essential in SAR image change detection, is discussed and all unsupervised change detection approaches are classified into three categories: thresholding, clustering and 0-1 programming.
Keywords :
pattern clustering; radar imaging; speckle; synthetic aperture radar; SAR images; speckle suppression; synthetic aperture radar; unsupervised change detection; Accuracy; Adaptive filters; Classification algorithms; Noise; Programming; Speckle; Synthetic aperture radar; SAR images; speckle suppression; unsupervised change detection;
Conference_Titel :
Signal and Information Processing (ChinaSIP), 2014 IEEE China Summit & International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4799-5401-8
DOI :
10.1109/ChinaSIP.2014.6889219
