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A method of seafloor geographic entity boundary recognition based on D-P algorithm and optimal path
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Binghao Cui1, 2, 3, Ziyin Wu1, 2, 3, *, Dineng Zhao2, 3, 7, Fanlin Yang1, Zhihao Liu2, 3, 4, Yibin Yao5, Zhongmiao Sun6
Haiyang Xuebao | 2023, 45(2) : 118 - 129
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Haiyang Xuebao | 2023, 45(2): 118-129
• Article •
A method of seafloor geographic entity boundary recognition based on D-P algorithm and optimal path
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Binghao Cui1, 2, 3, Ziyin Wu1, 2, 3, *, Dineng Zhao2, 3, 7, Fanlin Yang1, Zhihao Liu2, 3, 4, Yibin Yao5, Zhongmiao Sun6
Affiliations
  • 1College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
  • 2The Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
  • 3Key Laboratory of Submarine Science, Ministry of Natural Resources, Hangzhou 310012, China
  • 4School of Oceanography, Shanghai Jiaotong University, Shanghai 200030, China
  • 5School of Geodesy and Geomatics , Wuhan University, Wuhan 430072, China
  • 6Xi'an Institute of Surveying and Mapping, Xi'an 710054, China
  • 7Donghai Laboratory, Zhoushan 316021, China
Published: 2023-02-01 doi: 10.12284/hyxb2023009
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The delimitation and naming of seabed geographic entities is one of the hot research issues in the field of international maritime rights and interests. However, due to the lack of quantitative definition technology for the boundaries of seabed geographic entities, the determination of the boundaries is inevitably artificial. For this reason, this paper proposes a method for the boundary delineation of seabed geographic entities based on the D-P algorithm and optimal path. Convert the high-resolution bathymetry model into a two-dimensional bathymetry matrix, conduct cross-section analysis from the horizontal and vertical directions, and use extreme point simplification and D-P algorithm for quadratic simplification. In this way, the automatic division of the mountain body and its base of a single seamount is realized; on this basis, the method of path optimization is used to realize the automatic segmentation of conjoined seamounts. The method has been verified in the delineation of seabed geographic entities in the South China Sea and achieved good application results.

geographical entity  /  foothills  /  D-P algorithm  /  path optimization  /  boundary recognition
Binghao Cui, Ziyin Wu, Dineng Zhao, Fanlin Yang, Zhihao Liu, Yibin Yao, Zhongmiao Sun. A method of seafloor geographic entity boundary recognition based on D-P algorithm and optimal path[J]. Haiyang Xuebao, 2023 , 45 (2) : 118 -129 . DOI: 10.12284/hyxb2023009
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Article Info
doi: 10.12284/hyxb2023009
  • Receive Date：2022-05-09
  • Online Date：2025-12-26
  • Published：2023-02-01
Article Data
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History
  • Received：2022-05-09
  • Revised：2022-08-24
Funding
Affiliations
    1College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
    2The Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
    3Key Laboratory of Submarine Science, Ministry of Natural Resources, Hangzhou 310012, China
    4School of Oceanography, Shanghai Jiaotong University, Shanghai 200030, China
    5School of Geodesy and Geomatics , Wuhan University, Wuhan 430072, China
    6Xi'an Institute of Surveying and Mapping, Xi'an 710054, China
    7Donghai Laboratory, Zhoushan 316021, China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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