| TM遥感影像的地形辐射校正研究 |
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| 引用本文： | 陈志明,LI Jia-guo,李家国,余涛,顾行发,林广发. TM遥感影像的地形辐射校正研究[J]. 遥感信息, 2009, 0(2): 29-33 |
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| 作者姓名： | 陈志明 LI Jia-guo 李家国 余涛 顾行发 林广发 |
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| 作者单位： | 1. 福建师范大学,地理科学学院,福州,350007
2. 遥感科学国家重点实验室,中国科学院遥感应用研究所,北京,100101;国家航天局航天遥感论证中心,北京,100101 |
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| 基金项目： | 国防科技工业民用专项科研技术研究项目，中国科学院知识创新工程重要方向性项目 |
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| 摘 要： | 从地面所接收到的太阳直接辐射、天空散射辐射和临近地形反射附加的辐射三个方面分析计算地面每个像元的太阳总辐射,并在此基础上建立地表真实反射率恢复模型,实现对地形的辐射校正。在算法实现上,采用交互式数据语言（Interactive Data Language,IDL）,结合6S大气校正模型和数字高程模型（DEM）进行编程实现。利用北京山区的TM遥感影像所做的实验表明该方法能有效地消除卫星影像中地形的影响,为影像的后续处理提供更真实的信息。
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| 关 键 词： | 地形辐射校正 定量化遥感 IDL 数字高程模型 |
Study on Topographic Correction Approach of TM Remote Sensing Images |
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| LI Jia-guo. Study on Topographic Correction Approach of TM Remote Sensing Images[J]. Remote Sensing Information, 2009, 0(2): 29-33 |
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| Authors: | LI Jia-guo |
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| Affiliation: | CHEN Zhi-ming , LI Jia-guo , YU Tao , GU Xing-fa , LIN Guang-fa (1 FuJian Normal University, College of Geographical Sciences, FuZhou 35007 ; 2 State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101 ; 3 The Center for National Spaceborne Demonstration, Beijing 100101) |
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| Abstract: | Topographic correction is one of the major tasks of remote sensing imagery correction. How to remove the topographic effects is a necessary step in quantitative remote sensing. Topographic correction is also a necessary step to get the real reflectance from the surface. Based on detailed analysis of illumination sources that include solar direct irradiance, sky diffuse and adjacent reflectance irradiance, this paper presents a reflectance retrieval model to remove the topographic effects in satellite images. We take the Interactive Data Language（IDL） ,6S atmospheric model and a digital elevation model（DEM） to realize the algorithms. The experiments using a Landsat TM image in Beijing mountain area proved that the results of this method can effectively remove the topographic effects, and then provide more real information for post processing of the remotely sensed images. |
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| Keywords: | IDL |
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