An improved neighborhood-based ratio approach for change detection in SAR images. Issue 1 (1st January 2018)

• Record Type: Journal Article
• Authors: Zhuang, Huifu; Fan, Hongdong; Deng, Kazhong; Yu, Yang
• Is Part Of: European journal of remote sensing. Volume 51:Issue 1(2018)
• Page Start: 723
• Page End: 738
• Publication Date: 2018-01-01
• Subjects: Change detection -- neighborhood information -- ratio operator -- synthetic aperture radar (SAR) -- receiver operating characteristic (ROC); Remote sensing -- Periodicals; Remote sensing; Electronic journals; Periodicals; 621.3678
• DOI: 10.1080/22797254.2018.1482523
• Languages: English
• ISSNs: 2279-7254

Abstract

ABSTRACT: The speckle noise of synthetic aperture radar (SAR) images limits its application in change detection. Compared with improved ratio (IR) and log-ratio (LR) operators, the neighborhood-based ratio (NR) technique can restrain the influence of speckle noise and is more suitable for change detection in SAR images. However, we find three drawbacks of NR by analyzing this method carefully. To overcome these defects, we propose an improved neighborhood-based ratio (INR) approach for change detection in SAR images. INR restructures the NR operator to exploit the neighborhood information more reasonably and is expected to reduce the impact of speckle noise better. IR, LR, mean ratio operator, NR, and INR are tested on two data sets to compare their performances in change detection of SAR images. Experimental results show that the proposed method can obtain better difference image than other state-of-art methods and improve the accuracy of change detection in SAR images effectively.