摘要
目前对于遥感影像彩色化,主要是采用基于伪彩色化的多光谱图像融合方法。该方法最大的问题在于不同数据源、不同传感器、不同时段的数据很难进行图像配准。本文以基于优化的彩色化方法来处理遥感影像,可以彩色化无法配准的图像,并且在联合熵、相关系数、偏差指数方面的值均优于通常的IHS方法,可作为对遥感传统图像融合方法的一种补充。
Now multi-spectral image fusion based on pseudo-coloring is mainly adopted for remote sensing image colorization. The main problem of this method is very difficult to register images for date of different source, different sensor or different time. In this paper the method of colorization using optimization is used to process remote sensing image, it can colorize the image which couldn’t be registered, and the corresponding parameters are better than IHS. The method can provide a supplement to traditional image fusion methods.
关键词
计算机应用
遥感影像彩色化
全局优化
图像融合
图像配准
computer application
remote sensing image colorization
global optimization
image fusion
image registration
