西安电子科技大学学报（自然科学版）Issue(6)：94-98,5.DOI:10.3969/j.issn.1001-2400.2015.06.017
视差约束的改进 Hough 变换多光谱影像匹配方法
Matching method for multispectral images based on improved hough transformation with disparity constraint
摘要
Abstract
To overcome the problems of image matching caused by different charactors and the grey‐level in every spectrum of the airborne filter multispectral imager for the same target , a matching method for multispectral images based on improved Hough transformation with disparity constraint is presented . Firstly , we get the N layer pyramid images of the two multispectral images for registration by down‐sampling , and then calculate the transformation parameters of each layer between the left and right images progressively . In this progress , the transformation parameters of the two adjacent top Pyramid images can be calculated by using the feature points extracted by the SIFT operator , and the transformation parameters of the other adjacent Pyramid images can be calculated by using the transformation parameters of their upper images and the improved Hough transformation . At the same time , the attitude parameters and the geometric transform relation calculated from the upper layer between the images can be used to improve the matching speed and reliability . By processing two airborne flight multispectral images with 1 415 × 1415 pixels , this approach only takes 7.8 secends , and its registration accuracy can reach 0.65 pixels .关键词
金字塔方法/多光谱/改进的 Hough 变换/递进影像匹配Key words
pyramid method/multispectral/improved Hough transformation/progressive image matching分类
信息技术与安全科学引用本文复制引用
赵宝玮,相里斌,黄旻,吕群波,张桂峰..视差约束的改进 Hough 变换多光谱影像匹配方法[J].西安电子科技大学学报（自然科学版）,2015,(6):94-98,5.基金项目
国家杰出青年科学基金资助项目 （）
