Prof. Juan Huang Profile

Prof. Juan Huang

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Proceedings Article | 3 June 2024 Paper

Fusion technology for green tide information in the Yellow Sea detected from multi-source satellite images

Yi Ding, Juan Huang, Lei Xin, Kunpeng Sun, Jie Li, Song Gao

Proceedings Volume 13170, 1317015 (2024) https://doi.org/10.1117/12.3032259

KEYWORDS: Satellites, Satellite imaging, Earth observing sensors, Information fusion, Image resolution, Remote sensing, Ocean optics, Data fusion

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The Yellow Sea green tide has occurred every year on a large scale since 2007, causing harm to marine ecology, fisheries, tourism, and so on. Affected areas usually formulate green tide containment and removal programs based on satellite images green tide monitoring information. However, due to the influence of clouds and fog and the width of satellite images, it is difficult for one satellite image to monitor the green tide comprehensively, so it is necessary to fuse green tide monitoring information from multi-source satellite images to obtain comprehensive green tide information. However, we face the problems of different scope, time, and accuracy when fusing green tide multi-source monitoring information. Therefore, this paper developed a fusion module based on resampling technology, area refinement methods, green tide drift/tracking technique, and spatial overlay analysis and integration technique. A case study found that the fusion module generated a spatially and temporally uniform green tide fusion product with comprehensive coverage, and the product greatly reduced the number of green tide points, which effectively reduced the amount of drift prediction calculations, improving the prediction efficiency and thematic mapping fluency. It can be concluded that, comparing the single satellite monitoring information, the green tide multi-source fusion product can better provide technical support for Green Tide disaster prevention and mitigation emergency decision-making.

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