Remote sensing image tropical cyclone target detection and visualization method

The invention relates to a remote sensing image tropical cyclone target detection and visualization method. Comprising the following steps: processing tropical cyclone remote sensing image data by using a super-resolution model based on a generative adversarial network, and generating a tile pyramid...

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Hauptverfasser: JIN YONGJUN, CHEN DU, XIONG QI, DENG ZHONGJIU, LIU JIA, SUN YONGJIAN, XIANG JIANJIAN
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention relates to a remote sensing image tropical cyclone target detection and visualization method. Comprising the following steps: processing tropical cyclone remote sensing image data by using a super-resolution model based on a generative adversarial network, and generating a tile pyramid according to a generated high-resolution remote sensing image; analyzing the remote sensing image, extracting metadata, and storing tropical cyclone remote sensing image metadata, the remote sensing image and remote sensing image tile data in multiple storage modes; generating a tropical cyclone remote sensing image spatio-temporal index by using mixed spatio-temporal coding Geohash-ST; constructing a lightweight tropical cyclone target detection model fusing a compact feature extraction network and an attention mechanism; a lightweight Web application framework Flask and an OGC WPS network protocol are utilized to realize automatic packaging and intelligent network calling of the lightweight tropical cyclone targ