%0 Journal Article
%T 方向矩异源图像匹配算法
%A 李想
%A 朱遵尚
%A 尚洋
%A 于起峰&lt
%A /br&gt
%A LI Xiang
%A ZHU Zunshang
%A SHANG Yang
%A YU Qifeng
%J 国防科技大学学报
%D 2015
%R 10.11887/j.cn.201501026
%X 全天候高精度导航与制导需要可靠的可见光与红外、可见光与合成孔径雷达（Synthetic Apeture Radar,SAR）的异源图像匹配算法。提出了一种基于方向矩的异源图像匹配算法：利用像素层次设计异源不变特征，描述像素点与其邻域各方向相似程度，通过统计比较各像素的相似性测度，实现不同传感器图像间的可靠匹配。进行了批量图像匹配实验，在可见光与红外、可见光与SAR异源图像间取得了超过90%的匹配正确率。较传统异源匹配算法，该算法大大提高了匹配正确率，在导航与制导领域有广阔的应用前景。</br>Multimodal image registration between visible, infrared and SAR images is the key technology to all-weather high-precision navigation and guidance. Based on an invariant feature designed at the pixel level, the orientation-moment, which describes the similarity of a pixel with its neighbors in different orientation, a multimodal image registration algorithm, that matches multisensor images by analyzing such similarities, is proposed. In matching tests, including visible, infrared and SAR images, it has reached a success rate of more than 90%. Comparing with traditional multimodal image registration algorithms, this method greatly improved the success rate, and had broad application prospects in navigation and guidance.
%K 异源图像 图像匹配 景象匹配 红外 合成孔径雷达 方向矩&lt
%K /br&gt
%K multimodal image image registration scene matching infrared synthetic aperture radar orientation-moment
%U http://journal.nudt.edu.cn/gfkjdxxb/ch/reader/view_abstract.aspx?file_no=201501026&flag=1