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基于重叠正射影像的浅水水深测量方法

A Bathymetric Extraction Approach Through Refraction and Inversion from Overlapped Orthoimages

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【作者】 徐笑陈艳楠马振玲

【Author】 XU Xiao;CHEN Yannan;MA Zhenling;College of Marine Sciences,Shanghai Ocean University;College of Information Technology,Shanghai Ocean University;

【机构】 上海海洋大学海洋科学学院上海海洋大学信息学院

【摘要】 在立体影像双介质测量水深和多光谱影像反演水深的研究基础上,提出将两者集成的途径。在重叠正射影像的有纹理水域采用折射法获取水深值,将折射法获取的水深值作为多光谱反演模型的参考值,获取反演模型参数,将反演模型应用到无纹理水域,集成折射法和反演法的水深值,从而获取浅水区域的水下地形。以某浅海地区航空影像生成的左右正射影像为实验数据,采用折射法与反演法集成途径获取水深值,并与真值(激光水深点)进行回归分析,回归的决定系数(R~2)和均方根误差(RMSE)分别为0.9 m和0.45 m,验证了该集成途径的有效性和可行性。

【Abstract】 The shallow water topography information is very important for environmental protection and management,waterway safety,and water resource development.This paper further explores bathymetric extraction techniques from shallow water multispectral stereo images through two-medium ray refraction and spectral information inversion,proposes the integrated approach of both.In texture-rich areas,an overlapped orthoimage based ray refraction method is developed to calculate the depth information of the underwater features.In texture-less areas,the commonly-used multispectral inversion techniques are applied.The depth information from the ray refraction method acts as the references for the multispectral inversion techniques,therefore,obtaining underwater topography of orthoimages’ shallow water area.The left and right orthoimages from an aerial stereo pair in a coastal region are used in the experiment.The coefficient of determination(R2) and the root mean square error(RMSE) between the derived bathymetry and the reference bathymetry are 0.9 and 0.45 meter,respectively.The proposed approach is easy to be implemented and flexible to use,giving that there are a large amount of existing multispectral orthoimages in water related areas available,the proposed approach has the great potential for the practical use.

【基金】 国家自然科学基金(51439004);上海海洋大学海洋测绘中心建设(A1-2006-00-6006);上海海洋大学科技发展专项(A2-2006-00-200216);上海市科委重点项目(15DZ1207000);上海市科委重点科研计划(17DZ1204902)
  • 【文献出处】 海洋测绘 ,Hydrographic Surveying and Charting , 编辑部邮箱 ,2019年04期
  • 【分类号】P715.7
  • 【被引频次】6
  • 【下载频次】122
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