| 低空无人机遥感影像高精度自动匹配方法研究 |
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| 引用本文： | 陈世杰,李超,罗志清.低空无人机遥感影像高精度自动匹配方法研究[J].价值工程,2013(32):208-209. |
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| 作者姓名： | 陈世杰 李超 罗志清 |
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| 作者单位： | [1]昆明理工大学国土资源工程学院,昆明650000 [2]云南省基础测绘技术中心,昆明650100 |
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| 摘 要： | 本文针对低空无人机遥感影像的特点,提出一种基于Harris角点和SIFT特征的自动匹配算法,并利用基于单应矩阵和核线几何双重约束的RANSAC相对定向剔除错误匹配。通过一组影像的自动匹配试验,结果具有较高的匹配正确率,验证了算法的有效性,可为区域网平差解算提供良好基础。
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| 关 键 词： | 低空无人机遥感影像 Harris角点 SIFT特征 自动匹配 错误匹配剔除 |
Research on Automatic Matching Method with High Accuracy of Low-altitude UAV Remote Sensing Image |
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| CHEN Shi-jie ;LI Chao; LUO Zhi-qing.Research on Automatic Matching Method with High Accuracy of Low-altitude UAV Remote Sensing Image[J].Value Engineering,2013(32):208-209. |
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| Authors: | CHEN Shi-jie ;LI Chao; LUO Zhi-qing |
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| Institution: | CHEN Shi-jie ;LI Chao; LUO Zhi-qing (Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650000, China Yunnan Provincial Technology Center of Basic Surveying and Mapping, Kunming 650100, China) |
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| Abstract: | Aiming at the characteristics of low-altitude UAV remote sensing image, this paper proposed an automatic matching algorithm based on Harris comer and SIFT feature, using RANSAC relative orientation based on double constraint of homography and epipolar geometry to reject mismatch. Experiment was performed on a set of images, validated the validity of algorithm with high accuracy result, it can provide a good foundation for Block adjustment. |
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| Keywords: | low-altitude UAV remote sensing image Harris comer SIFT feature automatic matching mismatch rejecting |
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