1. 广东工业大学 建筑与城市规划学院,广东,广州,510090
2. 中国铁路设计集团有限公司,天津,300251
孟瑞(1996–),女,硕士研究生,主要研究方向为遥感与无人机影像处理,E-mail:2111910025@mail2.gdut.edu.cn
廖开怀(1984–),男,副教授,博士,主要研究方向为城市地理与空间规划,E-mail:kaihuai121@126.com
网络首发:2021-03-10,
纸质出版:2021
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孟瑞, 廖开怀, 吴希文, 徐永明. 无人机测图的像控点布设优化及精度提升措施[J]. 广东工业大学学报, 2021, 38(2): 48-52, 82.
Meng Rui, Liao Kai-huai, Alex Hay-Man Ng, et al. Optimization and Accuracy Improvement of Image Control Point Layout for UAV Mapping[J]. 2021, 38(2): 48-52, 82.
孟瑞, 廖开怀, 吴希文, 徐永明. 无人机测图的像控点布设优化及精度提升措施[J]. 广东工业大学学报, 2021, 38(2): 48-52, 82. DOI: 10.12052/gdutxb.200116.
Meng Rui, Liao Kai-huai, Alex Hay-Man Ng, et al. Optimization and Accuracy Improvement of Image Control Point Layout for UAV Mapping[J]. 2021, 38(2): 48-52, 82. DOI: 10.12052/gdutxb.200116.
为探讨区域网法像控点在平原地区的优化布设方案
利用高精度定位定向系统(Position and Orientation System
POS)数据辅助设计4种对比方案。研究表明: 各布设方案空三加密的平面精度相近
高程精度差异明显
POS数据可显著提升高程精度; 本文所提基线间隔为10、航带间隔为4的区域网法像控点优化布设方案精度最优
其平面和高程方向可分别满足1∶500及1∶2 000比例尺测图要求。
Four schemes of image control points are investigated under the assistance of high-precision POS data to explore the optimal layout of image control points in the plain terrain that meets the standard tolerance requirements. The results show plane accuracies in the aerial triangulation of the four schemes are similar
but elevation accuracies are significantly different. POS data-assisted solution can significantly improve the elevation accuracy. Through a comparative analysis
it is found that image control points with the number of 10 baseline intervals and 4 airline intervals is the best optimal layout
when its plane accuracy can meet the requirements of 1∶500 scale mapping and elevation accuracy can meet the requirements of 1∶2000 scale mapping.
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