摘要
常用的遥感图像融合的方法如IHS变换法、Brovey变换法和主成分变换法实施图像融合时 ,均会有不同程度的光谱扭曲的现象 ,该文探讨了一种新的光谱保持型的DFF融合算法。DFF融合法先对参与融合的全色波段进行方向滤波 ,而后将滤波后的全色波段替换IHS正变换后的明度分量 ,再进行IHS逆变换便得到融合图像。DFF融合后的图像色彩与TM影像一致 ,光谱保持性能也优于IHS变换法 ,DFF融合图像的分类精度也高于IHS融合图像。
These fusion methods such as IHS transform, Brovey transform and principal components transform could merge two optical image data of different resolutions—a high spatial resolution panchromatic image and a low spatial resolution but multispectral image. But these fusion methods required the spectral response range of the high spatial resolution panchromatic image was same equal or approximate to the spectral response range of the multispectral image. This paper puts forward a kind of new fusion method called directional filter fusion (DFF) that could merge two optical image data of different spectral characteristics. This paper proposed its algorithm, firstly filtering on the panchromatic image, and then fusing the remote sensing data applying IHS transform. The classification precision by DFF is much higher at spectrum preservation than that by IHS transform.
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2003年第6期163-166,共4页
Transactions of the Chinese Society of Agricultural Engineering
基金
国家留学基金 (2 0 0 38360 4 4 )
江西省科技项目"南方红壤荒漠化遥感调查"课题
关键词
DFF融合
遥感图像融合
光谱保持
directional filter fusion
remote sensing image fusion
spectral preservation
