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作 者:李振琦 曹雪峰[1] LI Zhenqi;CAO Xuefeng(Information Engineering University,Zhengzhou 450001,China)
机构地区:[1]信息工程大学,河南郑州450001
出 处:《信息工程大学学报》2025年第1期37-43,共7页Journal of Information Engineering University
基 金:国家自然科学基金(42101458,41801388)。
摘 要:无人机航拍图像三维重建是目前获取高质量三维模型的重要手段。现有无人机航拍任务规划方法生成的航线简单、航拍视角固定导致图像对景物覆盖程度不够高,制约三维模型建模质量。为了得到高质量三维模型,提出一种基于视点可重建性约束的最短航线规划方法。该方法首先基于先验模型生成候选视点集合,其次以可重建度为约束采用下山单纯形法优化视点,最后将最短航线问题转化为旅行商问题进行求解。实验结果表明,该航线规划方法能够提高图像对景物的覆盖程度,显著改善目标场景的重建效果。以可重建性为约束条件设计无人机最短航线,可以提高影像三维重建质量。Three dimensional(3D)reconstruction of unmanned aerial vehicle(UAV)aerial images is an important means to obtain high quality 3D models.In the existing UAV aerial photography task planning methods,generate simple the routes are generated simply and the aerial photography angle is fixed,which lead to insufficient coverage of the image,thus restricting 3D modeling quality.To obtain high quality 3D model,a shortest route planning method based on view reconstructability constraint is proposed.The candidate viewpoint set is firstly generated based on the prior model by using the methed.Then the viewpoint is optimized by using the downhill simplex method constrained by reconstructability.Finally the shortest route istransformed into the traveling salesman problem to be solved.The experimental results show that this route planning method can improve the coverage degree of the image to the scene and significantly improve the reconstruction effect of the target scene.The quality of 3D image reconstruction can be improved by designing the shortest route of UAV with the constraint of reconstructability.
分 类 号:P237[天文地球—摄影测量与遥感] TP391[天文地球—测绘科学与技术]
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