小波分析在遥感图像融合中的应用  

Information fusion for remote sensing image based on wavelet transform

作　　者：刘本华[1] 廖旭[2] 刘英敏[1] 冯雨林[1] 

机构地区：[1]吉林大学地球探测科学与技术学院,吉林长春130026 [2]辽宁省地震局,辽宁沈阳110000

出　　处：《世界地震工程》2004年第4期153-156,共4页World Earthquake Engineering

摘　　要：利用小波分析的方法对多分辨率、多波段的遥感图像信息进行融合,原始图像经小波变换,分解成多个子图像,选择适宜的小波基,进行分块处理,再做逆变换,进行图像融合重构,使得融合后的图像最大限度地保留多波段光谱信息的同时,提高了图像的空间分辨率及局部目标的清晰度,与传统方法相比,小波分析方法具有明显的优越性。A method of information fusion for multi-sensor romote sensing image is presented based on wavelet transform . The original image is transformed into sub-images with wavelet transform, and each sub-image is divided into sub-blocks. The sub-blocks are processed by choosing proper wavelet base,and then the sub-blocks are re-constructed and fused. The fused image can include the most multi-information and special information. Mean while spacial resolution and clearing of the fusion image are better than traditional methods.

关 键 词：遥感图像融合 分块 多分辨率 子图像 小波分析 小波变换 波段 适宜 最大 信息 

分 类 号：P631.8[天文地球—地质矿产勘探] TP391[天文地球—地质学]