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国土资源遥感  2014, Vol. 26 Issue (1): 1-7    DOI: 10.6046/gtzyyg.2014.01.01
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地表温度的被动微波遥感反演研究进展
周芳成1, 宋小宁1, 李召良2,3
1. 中国科学院大学资源与环境学院, 北京 100049;
2. 中国农业科学院农业资源与农业区划研究所农业部农业信息技术重点实验室, 北京 100081;
3. 法国斯特拉斯堡大学ICube实验室, 斯特拉斯堡 67412
Progress of land surface temperature retrieval based on passive microwave remote sensing
ZHOU Fangcheng1, SONG Xiaoning1, LI Zhaoliang2,3
1. College of Resources and Environment, University of Chinese Academy Sciences, Beijing 100049, China;
2. Key Laboratory of Agri-Informatics, Ministry of Agriculture, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China;
3. ICube of Université de Strasbourg, Strasbourg 67412, France
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摘要 

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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关键词 新增建设用地土地利用数据变化发现特征构建    
Abstract

Microwave remote sensing can penetrate the clouds and even to some extent the rain and can make up for the lack of thermal infrared light. In order to get land surface temperature (LST) under all weather conditions, it is essential to develop the inversion algorithm based on microwave remote sensing data. This paper reviews the former algorithms found in literature, which can be roughly categorized into the statistical-based and physical-based retrieval algorithms and neural network algorithm from a methodology perspective. The merits and disadvantages are summarized for each method. This paper also points out the direction of future development and provides a reference for future research.

Key wordsnew construction land    land use data    change detection    feature selection
收稿日期: 2013-03-27      出版日期: 2014-01-08
:  TP79  
基金资助:

国家自然科学基金项目“全天候长时间序列观测角度和时间归一的地表温度遥感反演方法研究”(编号:41231170)资助。

通讯作者: 宋小宁(1975-),女,博士,副教授,硕士生导师,主要从事定量遥感方面的研究。Email:songxn@gucas.ac.cn。
作者简介: 周芳成(1988-),男,硕士研究生,主要从事定量遥感方面的研究。Email:zhoufangcheng11@gmail.com。
引用本文:   
周芳成, 宋小宁, 李召良. 地表温度的被动微波遥感反演研究进展[J]. 国土资源遥感, 2014, 26(1): 1-7.
ZHOU Fangcheng, SONG Xiaoning, LI Zhaoliang. Progress of land surface temperature retrieval based on passive microwave remote sensing. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(1): 1-7.
链接本文:  
https://www.gtzyyg.com/CN/10.6046/gtzyyg.2014.01.01      或      https://www.gtzyyg.com/CN/Y2014/V26/I1/1

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