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基于Google Earth Engine (GEE)遥感大数据分析云平台，综合利用GF-3 FSI、Sentinel-1 IW干涉宽测绘带模式数据和Sentinel-2 MSI多光谱数据等多源遥感数据，对舟山海域海上船只进行识别和分析。结果表明：(1)基于光学数据利用归一化水体指数进行陆地剔除，可有效提升SAR船只的识别精度；(2)GF-3 FSI对于小目标船只的识别能力优于Sentinel-1 IW，在船只识别上具有较大的应用潜力和价值。
Abstract：Based on Google Earth Engine(GEE) remote sensing big data cloud platform,we comprehensively utilized multi-source remote sensing data, including GF-3 FSI, Sentinel-1 IW and Sentinel-2 MSI multi-spectral data, to identify the ships in the Zhoushan sea region. The results show that(1)based on optical data, using NDWI to remove the land surface and then using radar data to identify ships in the sea, can effectively improve the identification accuracy of ships.(2)GF-3 FSI is superior to Sentinel-1 IW for small target ship identification and has great application potential in ship identification.
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基本信息:
中图分类号:P237
引用信息:
[1]李晓阳,尹永会.基于GEE云平台的舟山海域船只多源遥感监测[J].地理空间信息,2023,21(01):143-147.
基金信息:
中国地质调查局浙江舟山—福建宁德一带遥感地质调查资助项目（DD20200819）