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作 者:张春森[1] 任力 郭丙轩[2] 任旗胜 ZHANG Chunsen;REN Li;GUO Bingxuan;REN Qisheng(College of Geomatics,Xi’an University of Science and Technology,Xi’an 710054,China;State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan 430079,China;Wuhan Ramap Technology Company,Wuhan 430040,China)
机构地区:[1]西安科技大学测绘科学与技术学院,陕西西安710054 [2]武汉大学测绘遥感信息工程国家重点实验室,湖北武汉430079 [3]武汉讯图科技有限公司,湖北武汉430040
出 处:《测绘通报》2020年第5期21-24,共4页Bulletin of Surveying and Mapping
基 金:国家自然科学基金(91738301);陕西省自然基金(2018JM5103)。
摘 要:针对数字正射影像(DOM)生产中存在的几何错位和影像拼接问题,结合遮挡检测法和基于TPS薄板样条模型的影像配准方法,对影像几何错位区域进行修复和无缝拼接。根据采集的三维特征线将几何错位区域的修复分为内侧与外侧。内侧采用正射纠正的方法进行修复;外侧选择无遮挡的影像进行影像配准后对其进行填充。以某高架桥几何错位影像进行算法验证,结果证明:本文所给方法在修复高架桥区域影像几何错位的同时,可有效地避免由于遮挡影像出现的双边现象,并可以保证修复后的局部正射影像与原始正射影像的无缝拼接。Aiming at the geometric misalignment and image mosaic problems in the production of digital orthophoto(DOM), combined with the occlusion detection method and the image registration method based on the TPS thin-plate spline model, the geometric misalignment of the image is repaired and seamlessly spliced. The repair of the geometrically misaligned area is divided into the inner side and the outer side according to the acquired three-dimensional characteristic line. The inner side is repaired by orthorectification. The outer side is selected as an unobstructed image for image registration and then filled. The algorithm is verified by the real over-the-horizon geometric misalignment image. The results show that the method used in this paper can effectively avoid the "bilateral" phenomenon caused by the occlusion image while repairing the geometrical misalignment of the viaduct area, and guarantee the local orthomorphic after the repair. Seamless stitching of images and original orthophotos.
分 类 号:P23[天文地球—摄影测量与遥感]
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