针对多光潜遥感图像,提出一种新的动态尺度梯度调制融合算法;该算法首先根据需求选取不同波段上的光谱图像,然后在多尺度梯度塔形分解数据结构下,分析、选择合适尺度上的一幅梯度图像作为融合的引导,再经过动态的阈值选取和二值化得到调制因子,对另一幅光谱图像进行调制,获得最终的融合图像;实验结果表明.与传统的对比度调制算法和多尺度调制融合算法相比,该算法能够有效地保留、增强各个波段光潜图像中最显著的地貌特征。
Anew dynamic multi- scale gradient pyramid modulation fusion methodis presented, which can be used to analyze multi-spectral remote sensing image. Firstly, various bands of multi-spectral remote sensing images are selected according to the real application task. Then the gradient map of one input image is chosen for modulation after threshold. Experimental results show that contrast to the traditional modulation fusion method and muhiple scale modulation fusion method, this method can effectively reserve and strengthen all significant features of the original multi-spectral remote sensing images.