Comparative Analysis of Edge Information and Polarization on SAR-to-Optical Translation Based on Conditional Generative Adversarial Networks

Comparative Analysis of Edge Information and Polarization on SAR-to-Optical Translation Based on Conditional Generative Adversarial Networks

To accurately describe dynamic vegetation changes, high temporal and spectral resolution data are urgently required. Optical images contain rich spectral information but are limited by poor weather conditions and cloud contamination. Conversely, synthetic-aperture radar (SAR) is effective under all...

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Bibliographic Details
Main Authors:	Qian Zhang, Xiangnan Liu, Meiling Liu, Xinyu Zou, Lihong Zhu, Xiaohao Ruan
Format:	Article
Language:	English
Published:	MDPI AG 2021-01-01
Series:	Remote Sensing
Subjects:	SAR-to-optical image translation deep learning conditional generative adversarial networks (cGANs)
Online Access:	https://www.mdpi.com/2072-4292/13/1/128

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