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地表温度的被动微波遥感反演研究进展

DOI: 10.6046/gtzyyg.2014.01.01, PP. 1-7

Keywords: 被动微波遥感,地表温度,统计模型,物理模型,神经网络算法

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Abstract:

微波遥感能穿透云层,甚至可穿透一定程度的雨区,可以弥补热红外遥感的不足。发展基于被动微波遥感的地表温度反演算法可以全天候地为相关领域提供数据服务。根据前人研究,该文从方法论的角度将已有的反演方法分为统计模型法、物理模型法和神经网络算法3类,分析了每种方法的优缺点,并探讨了未来微波遥感反演地表温度的发展方向,以期为进一步研究提供参考。

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