基于多进制小波的森林遥感影像融合  

Forest Remote Sensing Image Fusion Based on Multi-band Wavelets

作　　者：唐彦[1] 

机构地区：[1]东北林业大学,哈尔滨150040

出　　处：《东北林业大学学报》2010年第8期68-70,共3页Journal of Northeast Forestry University

摘　　要：为监测森林资源动态变化信息,探讨了基于多进制小波变换与RGB特征融合相结合的遥感影像融合方法。在融合过程中,首先对高分辨率全色影像和多光谱影像进行M进制小波分解,再将高分辨率影像的高频分量分别与多光谱影像的R、G、B波段高频分量以区域能量为融合准则进行特征融合,形成新的高频分量;然后与多光谱影像的低频分量进行多进制小波逆变换,最后经RGB合成为彩色影像。结果表明,该方法既改善了影像的清晰度和分辨率,同时也保留了原影像的光谱信息,利用融合后的影像进行森林资源动态监测,效果明显提高。The remote sensing image fusion based on multi-band wavelets and RGB feature fusion was discussed in order to monitor the dynamic information of forest resources. In the fusion process, the high frequency ingredients of high resolution images and R, G, B bands images by multi-band wavelets transform were firstly fused based on the regional energy criterion and RGB feature, and then the new high frequency ingredients of high resolution images were obtained. The inverse multiband wavelet transform was done based on low frequency ingredients of R, G, B bands images and new high frequency ingredients separately. Finally a new fusion image was composed by the new R, G, B bands. Results show that this method could not only improve the definition and resolution of the multi-spectral images, but also retain the color feature, so it could improve the accuracy for dynamic monitoring of forest resources.

关 键 词：遥感影像 影像融合 动态监测 多进制小波 

分 类 号：S771.8[农业科学—森林工程]