Paper
12 May 2022 Multi-beam sounding data thinning method based on characteristic spots and isobath constraint
Xiaodong Yin, Weiming Xu, Tianyang Liu, Shaohua Jin, Bian Gang
Author Affiliations +
Proceedings Volume 12173, International Conference on Optics and Machine Vision (ICOMV 2022); 121730Q (2022) https://doi.org/10.1117/12.2634387
Event: International Conference on Optics and Machine Vision (ICOMV 2022), 2022, Guangzhou, China
Abstract
Taking into account the complexity of the terrain, the triangulation irregular net thinning method is used to obtain the characteristic spot of multi-beam sounding data, and the advantages of multi-diagonal exchange algorithm are integrated and improved, and the improved constraint algorithm is used to embed the isobaths to construct the seabed DEM. Experiments indicates that the method can effectively identify the characteristic spot, and the thinning method based on characteristic spot and isobath constraint can effectively construct the seabed DEM with high precision and high resolution.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaodong Yin, Weiming Xu, Tianyang Liu, Shaohua Jin, and Bian Gang "Multi-beam sounding data thinning method based on characteristic spots and isobath constraint", Proc. SPIE 12173, International Conference on Optics and Machine Vision (ICOMV 2022), 121730Q (12 May 2022); https://doi.org/10.1117/12.2634387
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KEYWORDS
Data modeling

Tin

Distortion

Analytical research

Associative arrays

Cartography

Information technology

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