Presentation 2018-11-08
An Information Entropy-Based Sensitivity Analysis of Radar Sensing of Rough Surface
Yu Liu, Kun-Shan Chen,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) We apply Shannon entropy, an information content measure, in sensitivity analysis (SA), stemming from the fact that the essence of SA is to preserve the maximum information content of the parameters of interest that are inverted from the radar response. Then, the sensitivity to the observation configuration and surface parameters is subsequently analyzed. Attempts are also made to explore advantages, by maximizing the information content, of dueldual-polarization and multi-angle in improving the parametersparameter retrieval from radar sensing of rough surface.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) sensitivity analysis / Shannon entropy / radar sensing of rough surface
Paper # SANE2018-88
Date of Issue 2018-11-01 (SANE)

Conference Information
Committee SANE
Conference Date 2018/11/7(3days)
Place (in Japanese) (See Japanese page)
Place (in English) China (Xuchang)
Topics (in Japanese) (See Japanese page)
Topics (in English) ICSANE2018
Chair Sonosuke Fukushima(ENRI)
Vice Chair Toshifumi Moriyama(Nagasaki Univ.) / Akitsugu Nadai(NICT)
Secretary Toshifumi Moriyama(ENRI) / Akitsugu Nadai(Univ. of Electro-Comm.)
Assistant Ryo Natsuaki(Univ. of Tokyo) / Masato Yamanashi(Mitsubishi Space Software) / Takeshi Amishima(Mitsubishi Electric)

Paper Information
Registration To Technical Committee on Space, Aeronautical and Navigational Electronics
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Information Entropy-Based Sensitivity Analysis of Radar Sensing of Rough Surface
Sub Title (in English)
Keyword(1) sensitivity analysis
Keyword(2) Shannon entropy
Keyword(3) radar sensing of rough surface
1st Author's Name Yu Liu
1st Author's Affiliation Chinese Academy of Sciences/Xu Chang University(CAS/Xu Chang University)
2nd Author's Name Kun-Shan Chen
2nd Author's Affiliation Xu Chang University/Chinese Academy of Sciences(Xu Chang University/CAS)
Date 2018-11-08
Paper # SANE2018-88
Volume (vol) vol.118
Number (no) SANE-287
Page pp.pp.163-163(SANE),
#Pages 1
Date of Issue 2018-11-01 (SANE)