一种非下采样轮廓波变换的机载SAR图像增强  

An nonsubsampled contourlet transform for airborne SAR image enhancement

作　　者：王伟萍[1,2] 程春泉 刘蔚[1] 张庆洁 潘凤卓 WANG Weiping;CHENG Chunquan;LIU Wei;ZHANG Qingjie;PAN Fengzhuo(College of Geodesy and Geomatics,Shandong University of Science and Technology,Qingdao Shandong 266590,China;Chinese Academy of Surveying and Mapping,Beijing 100036,China)

机构地区：[1]山东科技大学测绘与空间信息学院,山东青岛266590 [2]中国测绘科学研究院,北京100036

出　　处：《北京测绘》2023年第2期153-159,共7页Beijing Surveying and Mapping

基　　金：国家重点研发计划(2018YFC0825803);国家自然科学基金(42171442)。

摘　　要：针对机载合成孔径雷达(SAR)影像因入射角、侧视距离和后向散射系数差异导致的内部亮度不均衡、边缘细节特征模糊等图像质量问题,采用一种基于非下采样轮廓波变换(NSCT)的图像增强处理方法来提升视觉效果,增强图像质量。相对于传统图像增强算法,该方法能够更好地解决SAR影像的辐射差异:结构相似度与平均梯度表现最优,在较好保持原始影像信息的基础上,亮度不均匀现象得到有效改善,对机载SAR影像的视觉效果有很大的提高。A nonsubsampled contourlet transform(NSCT)was applied to enhance the image quality of airborne synthetic aperture radar(SAR)images due to differences in incidence angle,side viewing distance and backscatter coefficients,resulting in internal brightness imbalance and blurred edge detail features.Compared with traditional image enhancement algorithms,NSCT method could better resolve the radiometric differences of SAR images:the structural similarity and the average gradient performed optimally,and the brightness non-uniformity was effectively improved on the basis of better maintaining the original image information,which had greatly improved the visual effect of airborne SAR images.

关 键 词：合成孔径雷达(SAR) 亮度均衡 非下采样轮廓波变换(NSCT) 图像增强 低通滤波 辐射差异 

分 类 号：P231[天文地球—摄影测量与遥感]