TY - JOUR
T1 - Disaster Detection from SAR Images with Different Off-Nadir Angles Using Unsupervised Image Translation
AU - Song, Jian
AU - Adriano, Bruno
AU - Yokoya, Naoto
N1 - Publisher Copyright:
© 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0)
PY - 2022
Y1 - 2022
N2 - Synthetic aperture radar (SAR) images observed at different off-nadir angles have different intensities, and change detection methods using difference images do not work well. This problem hinders emergency response when there is no archive data with a consistent off-nadir angle as emergency SAR observation. In this paper, we investigate unsupervised image translation methods based on generative adversarial networks and autoencoders to detect flood and landslide areas using SAR images observed at different off-nadir angles. Comprehensive experiments of disaster detection using ALOS-2 PALSAR-2 images for three floods and two landslides show that the developed methods can significantly improve the accuracy of disaster detection using pre- and post-disaster images observed at different off-nadir angles.
AB - Synthetic aperture radar (SAR) images observed at different off-nadir angles have different intensities, and change detection methods using difference images do not work well. This problem hinders emergency response when there is no archive data with a consistent off-nadir angle as emergency SAR observation. In this paper, we investigate unsupervised image translation methods based on generative adversarial networks and autoencoders to detect flood and landslide areas using SAR images observed at different off-nadir angles. Comprehensive experiments of disaster detection using ALOS-2 PALSAR-2 images for three floods and two landslides show that the developed methods can significantly improve the accuracy of disaster detection using pre- and post-disaster images observed at different off-nadir angles.
KW - Autoencoders
KW - disaster detection
KW - generative adversarial networks
KW - image translation
KW - off-nadir angle
KW - synthetic aperture radar
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M3 - Conference article
AN - SCOPUS:85138493765
SN - 1613-0073
VL - 3207
SP - 14
EP - 20
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
T2 - 2nd Workshop on Complex Data Challenges in Earth Observation, CDCEO 2022
Y2 - 25 July 2022
ER -