Cloud Removal with Fusion of High Resolution Optical and SAR Images Using Generative Adversarial Networks

no code implementations • MDPI Remote Sensing 2020 • Jianhao Gao, Qiangqiang Yuan, Jie Li, Hai Zhang, Xin Su

The approach can be roughly divided into two steps: in the first step, a specially designed convolutional neural network (CNN) translates the synthetic aperture radar (SAR) images into simulated optical images in an object-to-object manner; in the second step, the simulated optical image, together with the SAR image and the optical image corrupted by clouds, is fused to reconstruct the corrupted area by a generative adversarial network (GAN) with a particular loss function.

Cloud Removal Earth Observation +2