| 面向海洋应用的无人机遥感图像配准研究 |
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| 引用本文： | 王飞,高小伟,高宁,赵建华,吴合风,孟庆辉.面向海洋应用的无人机遥感图像配准研究[J].测绘通报,2017,0(11):123-127. |
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| 作者姓名： | 王飞 高小伟 高宁 赵建华 吴合风 孟庆辉 |
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| 作者单位： | 1. 国家海洋环境监测中心, 辽宁 大连 116023;2. 国家海洋局海域管理技术重点实验室, 辽宁 大连 116023;3. 航天图景(北京)科技有限公司, 北京 101300 |
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| 基金项目： | 海洋公益性行业科研专项（201405028）；国家海洋局海域管理重点实验室基金（201509） |
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| 摘 要： | 在海洋应用中，大面积水体的同名点匹配相比陆地更加困难，制约了无人机遥感图像的配准精度和收敛速度。本文提出了一种改进算法适用于海洋无人机遥感应用，采用主成分分析（PCA）和水体阈值方法去除水体，获得图像中非水体区域的分块图像，然后利用仿射-尺度不变特征变换算法（ASIFT）进行图像的特征点提取和重叠图像非水体区域的同名点匹配。通过海岛、海岸线的无人机遥感试验结果表明，基于改进算法，在不增加时间开销的情况下，可以增加30%~50%的同名点数量，精度提高约5%~10%。文中方法适应用于海洋无人机遥感的序列图像配准，为海岛、海岸线的遥感监测提供了有效的技术支持。
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| 关 键 词： | 无人机 遥感 海洋应用 海岛监测 序列图像配准 |
| 收稿时间： | 2017-07-18 |
Remote Sensing Image Registration of Unmanned Aerial Vehicle for Marine Applications |
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| WANG Fei,GAO Xiaowei,GAO Ning,ZHAO Jianhua,WU Hefeng,MENG Qinghui.Remote Sensing Image Registration of Unmanned Aerial Vehicle for Marine Applications[J].Bulletin of Surveying and Mapping,2017,0(11):123-127. |
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| Authors: | WANG Fei GAO Xiaowei GAO Ning ZHAO Jianhua WU Hefeng MENG Qinghui |
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| Institution: | 1. National Marine Environment Monitor Center, Dalian 116023, China;2. Key Laboratory of State Oceanic Administration Management Technology, Dalian 116023, China;3. Space GeoData(Beijing) Co. Ltd., Beijing 101300, China |
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| Abstract: | In marine applications, large water areas lead to more difficulties compared to land on the corresponding point matching, which restricts the UAV remote sensing image registration precision and convergence speed. This paper proposes an improved algorithm for the marine UAV remote sensing applications. First, remove water using principal component analysis (PCA) and water threshold method, and obtain the block image without water. Then, feature points extraction and the corresponding points matching of these block images were performed using the affine scale invariant feature transform algorithm (Affine-Sift, ASIFT). The experiment results show that the improved algorithm can increase 30%~50% points, the accuracy increases by about 20%, and time is not increased. This method is suitable for the sequence of UAV remote sensing image registration on the marine, and it can provide effective technical support for the remote sensing monitoring of island and coastline. |
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| Keywords: | UAV remote sensing marine application island monitoring registration of image sequences |
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