DocumentCode :
599018
Title :
Information analysis of microwave hyperspectral remote sensing for inversed water vapour content in atmosphere
Author :
Lin Liu ; Dawei Liu ; Haibo Zhao ; Jungang Miao
Author_Institution :
Sch. of Electron. & Inf. & Eng., Beihang Univ., Beijing, China
fYear :
2012
fDate :
16-18 Oct. 2012
Firstpage :
1470
Lastpage :
1474
Abstract :
A measurement, about the atmosphere from the ground-based microwave radiometers with high spectral resolution, would appear to contain a large amount of information about water vapour content. In this paper, the use of Shannon Entropy in information theory and the Multi-resolution wavelet transform, which can be defined without relating to the given retrieval method, can apportion measures of resolution to specific altitude ranges and pattern scales. Simulation study is done to examine the different performance of the information gain of hyperspectral technology compared with the traditional sounder.
Keywords :
atmospheric humidity; atmospheric measuring apparatus; atmospheric techniques; entropy; information analysis; information theory; microwave measurement; radiometers; remote sensing by laser beam; wavelet transforms; Shannon entropy; atmosphere inversed water vapour content; atmosphere measurement; ground-based microwave radiometers; high spectral resolution; hyperspectral technology; information analysis; information gain performance; information theory; large amount information; microwave hyperspectral remote sensing; multiresolution wavelet transform; pattern scales; resolution apportion measurement; retrieval method; simulation study; specific altitude ranges; traditional sounder; Atmospheric measurements; Hyperspectral imaging; Microwave measurements; Microwave radiometry; Microwave theory and techniques; Radiometers; Hyperspectral remote sensing of ground-based; Multi-resolution wavelet transform; Shannon Entropy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2012 5th International Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-0965-3
Type :
conf
DOI :
10.1109/CISP.2012.6469971
Filename :
6469971
Link To Document :
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