SAR图像与多光谱图像融合方法研究

本文针对SAR图像分辨率高、纹理信息多、斑噪影响大，而多光谱图像光谱信息丰富、分辨率较小的特点，提出了一种SAK与多光谱图像的数据融合算法。该方法分三步进行：首先使用粗糙集理论选取图像特征，在此基础上，对特征提取后的图像进行配准，配准中采用了数理统计中近似正态分布的方法，配准精度在一个像素以内，最后采用相关性加权的方法对配准后的SAK图像与多光谱图像进行融合。融合实验以LandSat的TM图像与Radsat的SAK图像为例，实验结果表明该方法取得了较好的融合效果。

The Research on the Method of Fusion for SAR and Multi-spectrum Images

Considering the features of multi-spectrum and SAR remote sensing images,a new data fusion approach has been proposed in this paper.This method includes three parts:Firstly,the characters of two kinds of images are selected by means of Rough-Set theory.Then,a new image registration method is presented based on the theory of approximately normal distribution.This makes the registration errors of experiment images lower than a pixel.At last,the fusion method based on correlation weighting approach for SAR and multi-spectrum images is researched.With the images of Landsat TM and Radsat SAR,experiment results show that the algorithm is available.