| 基于SIFT的无人机遥感影像匹配算法研究 |
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| 引用本文： | 陈香;王琳;张晔. 基于SIFT的无人机遥感影像匹配算法研究[J]. 东北测绘, 2013, 0(4): 106-108,111 |
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| 作者姓名： | 陈香 王琳 张晔 |
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| 作者单位： | 天津市测绘院;国家测绘地理信息局第二大地测量队 |
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| 摘 要： | 无人机遥感影像存在像幅小、数量多、基线短、重叠度不规则且倾角过大等问题,传统的灰度匹配很难胜任无人机遥感影像的匹配。SIFT特征具有旋转、微小仿射的不变性。本文分析SIFT特征的优点,指出其存在的问题,结合灰度匹配、最小二乘匹配及影像金字塔策略,提出了一套适合无人机遥感影像的匹配算法流程。
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| 关 键 词： | 无人机 SIFT 影像匹配 |
The Research on Matching Algorithm of the Unmanned Aerial Vehicle Remote Sensing Images Based on SIFT |
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| Affiliation: | CHEN Xiang1,WANG Lin1,ZHANG Ye2(1.Tianjin Institute of Surveying and Mapping,Tianjin 300381,China; 2.The Second Geodetic Surveying Team of SBSM,Harbin 150081,China) |
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| Abstract: | The unmanned aerial vehicle(UAV) remote sensing images have problems such as small format images,excessive quantities,over tilt angle,irregular forward and side overlap etc.In this case,the traditional gray match does not work.SIFT(scale invariant feature transform) has the advantage of the invariance to rotation and micro affine.This paper analyzes the SIFT advantages and problems,describes the intensity correlation matching,the least square algorithm and the image pyramid process.On this basis,the matching algorithm workflow of the UAV images is proposed. |
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| Keywords: | UAV SIFT image matching |
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