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针对我国渤海海冰灾害,本文选取HJ星多光谱和热红外数据作为海冰遥感监测数据源,研究适合HJ星热红外特点的亮度温度算法,并建立算法模型反演亮度温度。按照Bayes分类准则,以海冰和海水亮度温度分布曲线交点对应的亮温值作为冰水识别的阈值提取海冰信息。最后对提取结果与CCD目视解译结果进行比较。结果表明:利用HJ星亮度温度数据提取海冰信息方法可行、精度可靠,可应用于渤海海域业务化的海冰灾害监测预警。
Aiming at the sea ice disasters in the Bohai Sea, this paper selects HJ satellite multi-spectral and thermal infrared data as the data source of sea ice remote sensing monitoring, studies the brightness temperature algorithm suitable for HJ star thermal infrared characteristics, and establishes the algorithm model to invert the brightness temperature. According to the Bayes classification criterion, the sea ice information is extracted by using the bright temperature value corresponding to the intersection of the sea ice and the sea temperature brightness distribution curve as the ice water recognition threshold. Finally, the results of extraction and CCD visual interpretation were compared. The results show that it is feasible and reliable to extract sea ice information using the brightness temperature data of HJ star and it can be applied to the operational monitoring of sea ice disasters in the Bohai Sea.