Presentation 2021-12-16
Mitigation of Atmospheric Phase Screen effect in InSAR based on Complex Deep Learning Model
YuFan Cai, Josaphat Tetuko Sri Sumantyo, KeDi Chen,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) The effect of the atmospheric phase screen seriously affects the DEM quality. The mainstream method is to use meteorological parameters and combine them with GPS information to calculate the atmospheric elevation error. However, it is limited by the number of calibrated points and the addition of multi-view processing and filtering in InSAR will bring a certain difference between the atmospheric phase screen carried by the processed results and the results calculated by the physical model. Therefore, this paper aims to mitigate the effect of APS by using a deep learning method without reducing the DEM resolution but obtaining higher accuracy.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) InSAR / Atmospheric Phase Screen / Deep Learning / GACOS
Paper # SANE2021-68
Date of Issue 2021-12-09 (SANE)

Conference Information
Committee SANE
Conference Date 2021/12/16(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Chiba University
Topics (in Japanese) (See Japanese page)
Topics (in English) Radar, Remote Sensing and general issues
Chair Toshifumi Moriyama(Nagasaki Univ.)
Vice Chair Makoto Tanaka(Tokai Univ.) / Takeshi Amishima(Mitsubishi Electric)
Secretary Makoto Tanaka(Univ. of Tokyo) / Takeshi Amishima(ENRI)
Assistant Takayuki Kitamura(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) Mitigation of Atmospheric Phase Screen effect in InSAR based on Complex Deep Learning Model
Sub Title (in English)
Keyword(1) InSAR
Keyword(2) Atmospheric Phase Screen
Keyword(3) Deep Learning
Keyword(4) GACOS
1st Author's Name YuFan Cai
1st Author's Affiliation Chiba University(Chiba Univ.)
2nd Author's Name Josaphat Tetuko Sri Sumantyo
2nd Author's Affiliation Chiba University(Chiba Univ.)
3rd Author's Name KeDi Chen
3rd Author's Affiliation Chiba University(Chiba Univ.)
Date 2021-12-16
Paper # SANE2021-68
Volume (vol) vol.121
Number (no) SANE-306
Page pp.pp.29-34(SANE),
#Pages 6
Date of Issue 2021-12-09 (SANE)