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Information analysis of microwave hyperspectral remote sensing for inversed water vapour content in atmosphere

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2012 5th International Congress on Image and Signal Processing, CISP 2012
Pages1470-1474
Number of pages5
DOIs
StatePublished - 2012
Event2012 5th International Congress on Image and Signal Processing, CISP 2012 - Chongqing, China
Duration: 16 Oct 201218 Oct 2012

Publication series

Name2012 5th International Congress on Image and Signal Processing, CISP 2012

Conference

Conference2012 5th International Congress on Image and Signal Processing, CISP 2012
Country/TerritoryChina
CityChongqing
Period16/10/1218/10/12

Keywords

  • Hyperspectral remote sensing of ground-based
  • Multi-resolution wavelet transform
  • Shannon Entropy

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