Study on multi-source data integration and visualization technology of underwater inspection

Xuelu Xiao; Yu Yan; Guohong Li

doi:10.1117/12.2667893

10 February 2023 Study on multi-source data integration and visualization technology of underwater inspection

Xuelu Xiao, Yu Yan, Guohong Li

Proceedings Volume 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022); 125521J (2023) https://doi.org/10.1117/12.2667893
Event: International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 2022, Kunming, China

Abstract

Inspection and complete demonstration of underwater conditions are of utmost importance to the safe operation of large-sized structures. At present, however, there is scarcely any research on key techniques such as the multi-source data integration of underwater inspection, underwater three-dimensional visualization, etc. Through the R&D of multi-source data processing and visualization system of underwater inspection, and by collecting actual testing data of underwater inspection of the Hong Kong-Zhuhai-Macao Bridge, the authors of this study verified big-data integration of the multisource observation of the underwater environment and visualization demonstration capacities of underwater three-dimensional sceneries of the Hong Kong-Zhuhai-Macao Bridge. The research results of this study could effectively support the monitoring and management of the underwater environment of large-sized structures.

Citation Download Citation

Xuelu Xiao, Yu Yan, and Guohong Li "Study on multi-source data integration and visualization technology of underwater inspection", Proc. SPIE 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 125521J (10 February 2023); https://doi.org/10.1117/12.2667893

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