Presentation 2020-11-25
Observation of Hokkaido-Iburi-Tobu Earthquake by Deep Learning of SAR Images
Yang Yu, Josaphat Tetuko Sri Sumantyo,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Environment of Japan is situated by steep mountains and some disasters as typhoons, heavy rains and earthquakes that caused landslides, mudslides and landslide disasters due to slope deformation such as slope failures. The earthquake caused widespread collapse of the slope, and it was very dangerous. In this study, we investigate automatic recognition of landslide damage in a region by using the synthetic aperture radar images after a disaster and analyzing characteristic slope failures by deep learning with a small amount of training data.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Full Polarimetric Synthetic Aperture Radar / Deep Learning / Small Dataset / Target recognition / Landslide Damage
Paper # SANE2020-27
Date of Issue 2020-11-18 (SANE)

Conference Information
Committee SANE
Conference Date 2020/11/25(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Radar, Remote Sensing and general issues
Chair Akitsugu Nadai(NICT)
Vice Chair Hiroyoshi Yamada(Niigata Univ.) / Makoto Tanaka(Tokai Univ.)
Secretary Hiroyoshi Yamada(Mitsubishi Electric) / Makoto Tanaka(Univ. of Tokyo)
Assistant Shunichi Futatsumori(ENRI)

Paper Information
Registration To Technical Committee on Space, Aeronautical and Navigational Electronics
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Observation of Hokkaido-Iburi-Tobu Earthquake by Deep Learning of SAR Images
Sub Title (in English)
Keyword(1) Full Polarimetric Synthetic Aperture Radar
Keyword(2) Deep Learning
Keyword(3) Small Dataset
Keyword(4) Target recognition
Keyword(5) Landslide Damage
1st Author's Name Yang Yu
1st Author's Affiliation Chiba University(Chiba Univ.)
2nd Author's Name Josaphat Tetuko Sri Sumantyo
2nd Author's Affiliation Chiba University(Chiba Univ.)
Date 2020-11-25
Paper # SANE2020-27
Volume (vol) vol.120
Number (no) SANE-250
Page pp.pp.1-6(SANE),
#Pages 6
Date of Issue 2020-11-18 (SANE)