摘要
不同来源的遥感数据融合已经成为制约遥感数字图像处理技术发展的重要因素,文中基于IHS变换与改进的多进制小波变换相结合,对多源遥感图像进行数据融合,使融合后的数据既减少了IHS变换引起的图像光谱失真现象,又具有高空间分辨率的优点,同时也可广泛应用其它领域。
The fusion from different origin remote sensing has become a key factor to restrict the development of technology in remote sensing data-processiong. This paper introduces the theory and method for remote-sensing images fusion which based on the combination of IHS transform and improved multi-band wavelet theory. In the proposed method all the spectral characteristic has been preserved, the definition and the spatial quality of image also have been improved. The method can be widely applied to other domains.
出处
《测绘工程》
CSCD
2008年第2期13-15,21,共4页
Engineering of Surveying and Mapping
基金
国家自然科学基金资助项目(40574002)
广西省自然科学基金资助项目(桂科攻0330008-7)
关键词
多进制小波变换
IHS变换
遥感图像融合
multi- band wavelet transform
IHS transform
remote sensing images fusion