摘要
如何有效利用TM热红外遥感图像是遥感应用和研究人员共同关心的问题.由于空间分辨率不高,其应用与研究程度远不及其它波段获取的图像.小波变换具有信号多尺度分解能力,可以把遥感图像(二维信号)按照近似与细节进行多尺度分解.对TM(或ETM+)图像进行K-L变换,将可见光及近红外波段信息集中到一个主分量图像上,而后对热红外图像和该主分量图像同时进行多尺度小波分解,使用前者的近似系数与后者的细节系数重建图像,由此得到的合成图像既保留了原热红外图像的基本灰度分布信息,同时分辨率也得到了提高.
How to effectively use the TM thermal infrared (TIR) remotely sensed image is concerned with remote sensing application faculties and researchers. Because of low spatial resolution, the application and research of TIR image are far less than the images attained in other bands of the same sensor. Wavelet Transform has the capability to decompose signal into different resolutions in different scales, moreover it can decompose remotely sensed image (2 dimensional signal) into different scales according to its approximation and detail. Using K-L transform, firstly we concentrate high spatial resolution information of images of other bands on one single primary component. Then we use multi-scale wavelet transform to decompose TIR image and this primary component simultaneously. After this, we reconstruct an image using approximate coefficients of the former and detail coefficients of the latter. Thus we obtain a synthetic image which both retains the basic gray level distribution the same as the original TIR image and has an enhanced spatial resolution.
出处
《地球物理学进展》
CSCD
2004年第2期264-267,共4页
Progress in Geophysics
基金
中国地质调查局项目(200120140119)资助.
关键词
小波变换
空间分辨率
热红外遥感信息
wavelet transform, spatial resolution, thermal infrared remotely sensed information
