TY - GEN
T1 - Generative adversarial networks for synthesizing InSAR patches
AU - Sibler, Philipp
AU - Wang, Yuanyuan
AU - Auer, Stefan
AU - Ali, Syed Mohsin
AU - Zhu, Xiao Xiang
N1 - Publisher Copyright:
© VDE VERLAG GMBH Berlin Offenbach
PY - 2021
Y1 - 2021
N2 - Generative Adversarial Networks (GANs) have been employed with certain success for image translation tasks between optical and real-valued SAR intensity imagery. Applications include aiding interpretability of SAR scenes with their optical counterparts by artificial patch generation and automatic SAR-optical scene matching. The synthesis of artificial complex-valued InSAR image stacks asks for, besides good perceptual quality, more stringent quality metrics like phase noise and phase coherence. This paper provides a signal processing model of generative CNN structures, describes effects influencing those quality metrics and presents a mapping scheme of complex-valued data to given CNN structures based on popular Deep Learning frameworks.
AB - Generative Adversarial Networks (GANs) have been employed with certain success for image translation tasks between optical and real-valued SAR intensity imagery. Applications include aiding interpretability of SAR scenes with their optical counterparts by artificial patch generation and automatic SAR-optical scene matching. The synthesis of artificial complex-valued InSAR image stacks asks for, besides good perceptual quality, more stringent quality metrics like phase noise and phase coherence. This paper provides a signal processing model of generative CNN structures, describes effects influencing those quality metrics and presents a mapping scheme of complex-valued data to given CNN structures based on popular Deep Learning frameworks.
UR - http://www.scopus.com/inward/record.url?scp=85106025014&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85106025014
T3 - Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR
SP - 1099
EP - 1104
BT - EUSAR 2021 - 13th European Conference on Synthetic Aperture Radar, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th European Conference on Synthetic Aperture Radar, EUSAR 2021
Y2 - 29 March 2021 through 1 April 2021
ER -