Abstract: To obtain more image details, a remote sensing image fusion algorithm based on edge features was proposed. It applied wavelet packet transform, and determined fusion rules according to the wavelet coefficients and edge features of three sub-direction bands. The experiments on TM multi-spectral image and SPOT high-resolution image were carried out, and the fusion results were analyzed from both subjective and objective perspectives. The simulation results show that this method has certain improvement in both performing dimensional detail information and maintaining spectral information.

Key words: wavelet packet transform, edge feature, sub-direction gradient operator, image fusion

摘要： 为了获得更多的图像细节信息,提出了一种基于边缘特征的遥感图像融合算法。该方法以小波包变换为基础,根据3个子方向的小波系数变化和边缘特征,确定融合规则。对TM多光谱图像和SPOT高分辨率图像进行融合实验,并从主观和客观两方面对融合结果进行了比较分析。仿真实验结果表明,该方法在空间细节信息的表现能力和光谱信息的保持方面都有一定程度的提高。

关键词: 小波包变换, 边缘特征, 子方向梯度算子, 图像融合