Open AccessSAR image segmentation based on analysing similarity with clutter spatial patterns
Author(s) -
Zhao Xiaohui,
Jiang Yicheng,
Wang WenQin
Publication year - 2016
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2016.2926
Subject(s) - artificial intelligence , similarity (geometry) , clutter , synthetic aperture radar , pattern recognition (psychology) , computer vision , segmentation , image segmentation , computer science , pixel , image resolution , scale space segmentation , image (mathematics) , radar , telecommunications
An image segmentation method is proposed based on exploiting the spatial patterns in synthetic aperture radar (SAR) images. First, a similarity map is constructed for evaluating the similarity between the spatial pattern of the SAR image and the reference clutter images. Then, a segmentation threshold is selected based on the similarity map. Finally, image segmentation is achieved by preserving pixels that have larger similarity values. The superiority of the proposed method is verified by the experimental results for high‐resolution SAR images.