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多波束系统安装偏差整体校准的地形特征匹配方法
引用本文:李铁,周丰年,赵建虎.多波束系统安装偏差整体校准的地形特征匹配方法[J].测绘学报,2019,48(4):512-519.
作者姓名:李铁  周丰年  赵建虎
作者单位:武汉大学测绘学院,湖北 武汉 430079;武汉大学海洋研究院,湖北 武汉 430079;长江水利委员会水文局长江口水文水资源勘测局,上海,200136
基金项目:国家科技重大专项(2016YFB0501703);国家自然科学基金(4157060571;41376109)
摘    要:针对目前多波束测深系统采用patch test方法、基于去耦性原理确定多波束系统安装偏差因理论不完善带来的实施复杂、计算精度偏低问题,提出了一种多波束系统安装偏差整体校准新方法。首先将地形转换为图像;再利用相关条带地形图像,借助SIFT匹配算法,获取了匹配点对;最后基于匹配点对坐标,利用附有不等式约束的最小二乘平差方法,实现了多波束系统安装偏差的整体解算。试验验证了该方法在简化实施过程、改善安装偏差校准精度方面的有效性。

关 键 词:多波束系统安装偏差  SIFT匹配  匹配点对  偏差整体校准
收稿时间:2018-03-12
修稿时间:2018-06-21

Overall calibration method of multibeam echo sounder installation biases based on terrain feature matching
LI Tie,ZHOU Fengnian,ZHAO Jianhu.Overall calibration method of multibeam echo sounder installation biases based on terrain feature matching[J].Acta Geodaetica et Cartographica Sinica,2019,48(4):512-519.
Authors:LI Tie  ZHOU Fengnian  ZHAO Jianhu
Institution:1. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China;2. Institute of Marine Science and Technology, Wuhan University, Wuhan 430079, China;3. The Survey Bureau of the Hydrology and Water Resources of Changjiang Estuary, Changjiang Water Resources Commission, Shanghai 200136, China
Abstract:The patch test method based on decoupling principle to determine MBES (multibeam echo sounders)installation biases often results in complex operation and low accuracy due to theoretical imperfections. Therefore, the overall calibration of the biases is proposed. Firstly, MBES sounding terrain is converted into grayscale image. Then, SIFT(scale-invariant feature transform) is used for matching related terrain images and founding matching point pairs. Finally, the inequality-constrained least square adjustment is used for obtaining the MBES installation biases by the matching point pairs coordinates. The experiment verifies the validation of this method in simplifying the implementation and improving the accuracy of determining these biases.
Keywords:MBES installation biases  SIFT match  matching point pairs  overall calibration of biases
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