Multi-band SAR Coherent Change Detection Method Based on Coherent Representation Differences of Targets
Ji Guangyu Dong Yongwei Bu Yuncheng Li Yanlei Zhou Liangjiang Liang Xingdong*
(Key Laboratory of Science and Technology on Microwave Imaging, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China;University of Chinese Academy of Sciences, Beijing 100049, China)
Abstract Coherent Change Detection (CCD) detects micro changes in a scene using phase coherence of SAR images before and after a change. It is difficult for conventional CCD method to distinguish low coherence interference region from objective change region because of a single detection scale. Multi-band SAR target detection in a multiscale way develops variable coherent representation according to the diversity of electromagnetic wave penetration, target structure, and change magnitude. In this paper, a multi-band CCD method is proposed. Firstly, the CCD images of every band were acquired; secondly, the detected scene was classified on the basis of coherent representation of targets in each single band using improved Expectation-Maximization (EM) algorithm; thirdly, the objective change class in each single band was selected by a few supervised samples; lastly, multi-band fusion CCD image was acquired by the use of Dempster-Shafer (DS) evidence theory. This multi-band CCD result can eliminate low coherent interference in each single band and decrease false alarm probability. The method is validated by L- and P-band repeat-pass SAR images acquired before and after change. Results and index parameters demonstrate the validity and correctness of the proposed method.
Ji Guangyu,Dong Yongwei,Bu Yuncheng et al. Multi-band SAR Coherent Change Detection Method Based on Coherent Representation Differences of Targets[J]. JOURNAL OF RADARS, 2018, 7(4): 455-464.
2018, Vol. 7 
