摘要
探讨了一种新的光谱保持型的高通滤波融合(HPFF)算法。该算法先对参与融合的全色波段图像进行高通滤波,然后用滤波后的全色波段图像替换IHS正变换后的强度分量,再进行IHS逆变换,便得到HPFF融合图像。该图像色彩与TM图像一致,优于常规IHS变换法所得的图像。
The fusion methods such as IHS transform could merge two sorts of optical image data with different resolutions-a high spatial resolution panchromatic image and a low spatial resolution multispectral image. Nevertheless, such fusion methods require that the spectral response range of the high spatial resolution panchromatic image is identical or approximates to the spectral response range of the multispectral image. This paper puts forward a new fusion method called high-pass filter fusion (HPFF) that could merge two sorts of optical image data with different spectral characteristics. Its algorithm is as follows: First, to filter on the panchromatic image with high pass filter, and then to fuse the remote sensing data by applying IHS transformation. The color of the HPFF image approximates to the color of multispectral image. The HPFF method is more effective in spectral preservation than the IHS transformation.
出处
《国土资源遥感》
CSCD
2003年第4期26-29,共4页
Remote Sensing for Land & Resources
基金
国家留学基金(2003836044)资助。