计算机工程2012，Vol.38Issue(4)：155-157,161,4.
基于SIFT二次匹配方法的同名像点识别
Identification of Correspongding Points Based on SIFT Twice Matching Method
孙农亮 1李焕焕 1杨宁 1滕升华 1曹茂永1
作者信息
- 1. 山东科技大学信息与电气工程学院,山东青岛266510
- 折叠
摘要
Abstract
The SIFT twice matching algorithm is proposed to get much more and reliable feature points in IRS-P5 remote sensing image matching. In order to get initial positioning points, uniqueness constraint and global geometric constraints are introduced to reduce matching error. Micro-region images are got according to initial positioning points, and a new constraint-offset coordinate constraint is proposed together with the uniqueness constraint to complete the SIFT twice matching. Experimental results show that the matching number using the SIFT twice matching algorithm is 23.07 times of using SIFT directly with strict threshold value.关键词
遥感影像/尺度不变特征变换匹配/二次匹配/同名像点识别/双向匹配/偏移坐标差值约束Key words
remote sensing image/ Scale Invariant Feature Transform(SIFT) matching/ twice matching/ identification of correspongding points/ bidirectional matching/constraint-offset coordinate constraint分类
信息技术与安全科学引用本文复制引用
孙农亮,李焕焕,杨宁,滕升华,曹茂永..基于SIFT二次匹配方法的同名像点识别[J].计算机工程,2012,38(4):155-157,161,4.
