| 一种基于改进的SIFT特征点算法的无人机影像快速匹配研究 |
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| 引用本文： | 刘晓莉.一种基于改进的SIFT特征点算法的无人机影像快速匹配研究[J].测绘与空间地理信息,2014(9):207-210. |
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| 作者姓名： | 刘晓莉 |
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| 作者单位： | 61206部队,北京100042 |
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| 摘 要： | 由于无人机在空中的姿态不稳定,拍摄的影像存在像幅小、数量多、基线短、倾角过大、曝光不均匀等问题,采用常规的影像匹配方法效果不是很理想,有时甚至无法进行匹配,而SIFT(Scal Invariant Featre Transform)算子因其良好的尺度、旋转、光照等不变特性而广泛应用于图像处理中。本文分析了SIFT算子的优点,介绍了用该算法对无人机影像进行特征点的提取,并采用最小二乘算法进行精匹配。经对同一地区无人机航空摄影影像的匹配试验,取得了较好的结果。实验证明,该方法具有稳定、可靠、快速等特点,应用前景十分广阔。
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| 关 键 词： | SIFT特征点算法 无人机 影像匹配 |
Study on Fast Matching Based on Improved Algorithm of SIFT Feature Points of UAV Image |
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| LIU Xiao-li.Study on Fast Matching Based on Improved Algorithm of SIFT Feature Points of UAV Image[J].Geomatics & Spatial Information Technology,2014(9):207-210. |
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| Authors: | LIU Xiao-li |
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| Institution: | 61206部队,北京,100024 |
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| Abstract: | The UAV is not stable in the air posture, and the images are small with short baseline, large angle, and unstable exposure. The effect of conventional image matching method is not good enough. SIFT （ Scale lnvariant Featre Transform） with its good scale, rotation, illumination invariant feature, is widely used in image processing. This paper analyzes the advantages of SIFT operator, and introduces the way to extract the feature points of UAV image by the algorithm, and the precise matching with least square method. The matching test of UAV aerial photographic images of the same area achieved good results. Experiments show that, this method is stable, reliable, and fast with broad application prospects. |
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| Keywords: | the SIFT feature point algorithm UAV image matching |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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