小波变换在遥感图像相对辐射校正中的应用  

Application of Wavelet Transform in Relative Radiometric Correction of Remote Sensing Image

作　　者：邢宇[1,2] 

机构地区：[1]中国国土资源航空物探遥感中心,北京100083 [2]中国科学院生态环境研究中心,北京100085

出　　处：《测绘与空间地理信息》2015年第6期13-14,31,共3页Geomatics & Spatial Information Technology

摘　　要：采用小波分析将ASTER图像的低频分量和高频分量进行分离;对低频分量差值计算得到伪不变特征点,采用最小二乘法对低频分量进行线性变换;然后将原始待校正图像的高频分量与校正后的低频分量进行图像重构,实现多时相ASTER遥感图像的相对辐射校正。结果表明,该方法有效地保留了源图像中由于地物变化引起的辐射差异,相对辐射校正的整体效果较好。The ASTER images were decomposed into low -frequency components and high -frequency components by wavelet trans-form.Then, the PIF points were selected by the difference between the low -frequency components of the two images , and the linear transformation of low-frequency component was calculated using the least squares method .The high-frequency components discor-rected original image and low -frequency components corrected were reconstracted , in order to achieve the relative radiometric correc-tion of ASTER remote sensing images of different time periods .The results show that the method can save the radiation difference caused by the change of surface features themselves in the original image .The overall effect of relative radiometric correction is better .

关 键 词：小波变换 伪不变特征 相对辐射校正 ASTER遥感图像 

分 类 号：P237[天文地球—摄影测量与遥感]