SIMULTANEOUS RETRIEVAL OF GEOPHYSICAL PROPERTIES AND ATMOSPHERIC PARAMETERS FROM THE INFRARED HYPERSPECTRAL RESOLUTION SOUNDING DATA USING NEURAL NETWORK TECHNIQUE
文献类型:会议论文
作者 | Wang N. ; Tang B. H. ; Li Z. L. ; Ieee |
出版日期 | 2009 |
关键词 | Hyperspectral neural network land surface temperature land surface emissivity atmospheric profiles 2-step physical algorithm temperature emissivity |
页码 | 778-781 |
英文摘要 | Land surface temperature, land surface emissivity and atmospheric profiles are all of great importance in many applications. As the at-sensor radiances are dependent on both the land surface parameters (temperature and emissivity) and atmospheric conditions, it is difficult to simultaneously retrieve these parameters with a high accuracy from multi-spectral radiances measured at satellite level. However, some studies have recently shown that hyperspectral thermal infrared data could be used to derive these parameters simultaneously from space This paper tries to explore the possibilities to recover with an acceptable accuracy both the geophysical properties and the atmospheric parameters from the hyperspectral thermal infrared data using the neural network technique. The results show that the land surface temperature can be obtained with a RMSE=0.24K and the atmospheric profiles can also be retrieved with relatively high accuracy However, further work has to be performed to improve the retrieval accuracy in the near future. |
收录类别 | CPCI |
会议录出版者 | Ieee |
语种 | 英语 |
ISBN号 | 978-1-4244-3394-0 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/25310] ![]() |
专题 | 地理科学与资源研究所_历年回溯文献 |
推荐引用方式 GB/T 7714 | Wang N.,Tang B. H.,Li Z. L.,et al. SIMULTANEOUS RETRIEVAL OF GEOPHYSICAL PROPERTIES AND ATMOSPHERIC PARAMETERS FROM THE INFRARED HYPERSPECTRAL RESOLUTION SOUNDING DATA USING NEURAL NETWORK TECHNIQUE[C]. 见:. |
入库方式: OAI收割
来源:地理科学与资源研究所
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