Multi-channel based least-square matching method

The invention is a multi-channel based least-square matching method. The method is mainly used for matching and optimization of multi-channel remote sensing images. The method comprises the steps thatfirstly, a fixed-size image window which centers on initial rough matching points is selected; then, an error equation is established based on brightness values of corresponding pixels in corresponding channels in the image window, radiometric distortion and geometric distortion are conducted to correct iterative optimization of parameters, and the best matching point location is searched for. Compared with an original grayscale image-based matching method, the method can reduce the interference of color differences on matching results and improve the precision and stability of remote sensingimage matching. 本发明是种基于多通道的最小二乘匹配方法，主要用于多通道遥感影像的匹配优化包括：首先，以初始粗匹配点为中心选取个固定尺寸的影像窗口；然后，基于影像窗口中对应像素在对应通道中的亮度值建立误差方程，进行辐射畸变和几何畸变改正参数的迭代优化，搜索最佳匹配点位。本发明相比原有的基于灰度影像的匹配方法，能够降低颜色差异对匹配结果的干扰，提高遥感影像匹配的精度和稳定性。