title: Fast SAR image change detection using Bayesian approach based difference image and modified statistical region merging.
abstract: A novel fast SAR image change detection method is presented in this paper. Based on a Bayesian approach, the prior information that speckles follow the Nakagami distribution is incorporated into the difference image (DI) generation process. The new DI performs much better than the familiar log ratio (LR) DI as well as the cumulant based Kullback-Leibler divergence (CKLD) DI. The statistical region merging (SRM) approach is first introduced to change detection context. A new clustering procedure with the region variance as the statistical inference variable is exhibited to tailor SAR image change detection purposes, with only two classes in the final map, the unchanged and changed classes. The most prominent advantages of the proposed modified SRM (MSRM) method are the ability to cope with noise corruption and the quick implementation. Experimental results show that the proposed method is superior in both the change detection accuracy and the operation efficiency.
authors.affiliation: Northwest Institute of Nuclear Technology, Xi'an 710024, China.
authors.forename: Han
authors.identifier: 0000-0002-7725-5322
authors.initials: H
authors.lastname: Zhang
authors.affiliation: Northwest Institute of Nuclear Technology, Xi'an 710024, China ; School of Electronic Engineering, Xidian University, Xi'an 710071, China.
authors.forename: Weiping
authors.initials: W
authors.lastname: Ni
authors.affiliation: Northwest Institute of Nuclear Technology, Xi'an 710024, China.
authors.forename: Weidong
authors.initials: W
authors.lastname: Yan
authors.affiliation: Northwest Institute of Nuclear Technology, Xi'an 710024, China.
authors.forename: Hui
authors.initials: H
authors.lastname: Bian
authors.affiliation: Northwest Institute of Nuclear Technology, Xi'an 710024, China.
authors.forename: Junzheng
authors.initials: J
authors.lastname: Wu
mesh_terms: D000465:Algorithms; D001499:Bayes Theorem; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results