| 密集光流法正射影像镶嵌线智能提取 |
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| 引用本文： | 张春森,张月莹,郭丙轩,任力.密集光流法正射影像镶嵌线智能提取[J].武汉大学学报(信息科学版),2022,47(2):261-268. |
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| 作者姓名： | 张春森 张月莹 郭丙轩 任力 |
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| 作者单位： | 1.西安科技大学测绘科学与技术学院，陕西 西安, 710054 |
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| 基金项目： | 国家自然科学基金92038301陕西省自然科学基金2018JM5103自然资源部城市国土资源监测与仿真重点实验室开放基金KF-2018-03-052 |
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| 摘 要： | 针对正射影像拼接时影像间存在复杂的几何错位问题,提出一种基于密集光流法正射影像镶嵌线智能搜索方法.利用影像密集光流、梯度信息和灰度信息构造代价影像并视其为带权无向图,以图割模型为基础,采用最大流最小割原理自诊断搜索镶嵌线.实验结果表明,采用所提方法得到的稀疏建筑区镶嵌线代价像素数大于100的仅占路径长度的0.7％,且相...
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| 关 键 词： | 数字正射影像 密集光流 镶嵌线 图割模型 智能搜索 |
| 收稿时间： | 2021-07-28 |
Dense Optical Flow Method for Intelligently Extracting Seamline of Orthophotos |
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| Institution: | 1.College of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, China2.State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China3.Xi'an Zhongkexingtu Space Data Technology Co., Ltd, Xi'an 710100, China |
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| Abstract: | Objectives Geometric misalignment is one of the key problems for orthophoto mosaicking. To solve this problem, this paper proposes a regional seamline detection algorithm based on dense optical flow. Methods Firstly, the cost image is constructed with dense optical flow, gradient information and gray information. And the cost image is regarded as a weighted undirected graph. Secondly, the principle of maximum flow and minimum cut is used to search for seamline based on graph-cut model. Results The experiment results show that the seamline cost of the sparse building area greater than 100 pixels obtained by the proposed method only accounts for 0.7% of the path length. And the search efficiency of the proposed method is increased by 17% compared with OrthoVista software. Conclusions The proposed method can automatically avoid passing the building area and the areas with large projection in digital orthophoto map, greatly reduce the probability of geometric dislocation phenomenon of image mosaicking, and realize the intelligence of orthophoto seamline searching. |
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