西安电子科技大学学报（自然科学版）2018，Vol.45Issue(2)：19-25,7.DOI:10.3969/j.issn.1001-2400.2018.02.004
SAR图像NSCT域显著图去噪变化检测
SAR images change detection based on saliency map denoising in the NSCT domain
摘要
Abstract
Aiming at solving the problem of low detection accuracy of traditional synthetic aperture radar (SAR) image change detection methods this paper proposes a change detection method which combines salient information to construct the fused difference image in the nonsubsampled contourlet transform (NSCT) domain. First, three difference images including the mean ratio image, log ratio image and neighborhood log ratio image are constructed with two input images and then the saliency image is extracted from the log ratio image Second,the mean ratio image and neighborhood log ratio image are decomposed by the NSCT method. The low-pass sub-bands of the neighborhood log ratio image are restricted by the saliency image to highlight the change region of the fused difference image.The directional sub-bands are selectively denoised by the saliency image in different scales and then fused according to the principle of minimum local energy.Finally,the NSCT inverse transform is used to obtain a fused difference image and the change detection map is generated by using the k-means clustering method.The experimental results show that this method can get a better edge and detailed information as well as a higher detection accuracy.关键词
合成孔径雷达图像/变化检测/非下采样轮廓变换/显著图/k均值方法Key words
SAR images/change detection/NSCT transform/saliency map/k-means method分类
信息技术与安全科学引用本文复制引用
慕彩红,吴生财,刘逸,彭鹏,刘若辰..SAR图像NSCT域显著图去噪变化检测[J].西安电子科技大学学报（自然科学版）,2018,45(2):19-25,7.基金项目
国家重点基础研究发展计划资助项目(2013CB329402) （2013CB329402）
国家自然科学基金资助项目(61672405,61373111,61573015,61473215,61371201) （61672405,61373111,61573015,61473215,61371201）
中央高校基本科研业务费专项资金资助项目(JBG160229,JB170204) （JBG160229,JB170204）
国家留学基金资助项目(201706965003,201606965051) （201706965003,201606965051）
