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Datasets

Greatest papers with code

Cloud Removal for Remote Sensing Imagery via Spatial Attention Generative Adversarial Network

28 Sep 2020Penn000/SpA-GAN_for_cloud_removal

Optical remote sensing imagery has been widely used in many fields due to its high resolution and stable geometric properties.

CLOUD REMOVAL

Missing Data Reconstruction in Remote Sensing image with a Unified Spatial-Temporal-Spectral Deep Convolutional Neural Network

23 Feb 2018WHUQZhang/STS-CNN

Because of the internal malfunction of satellite sensors and poor atmospheric conditions such as thick cloud, the acquired remote sensing data often suffer from missing information, i. e., the data usability is greatly reduced.

CLOUD REMOVAL

A Remote Sensing Image Dataset for Cloud Removal

3 Jan 2019BUPTLdy/RICE_DATASET

Removing clouds is an indispensable pre-processing step in remote sensing image analysis.

CLOUD REMOVAL SCENE CLASSIFICATION

Cloud Removal in Satellite Images Using Spatiotemporal Generative Networks

14 Dec 2019VSAnimator/stgan

In contrast, we cast the problem of cloud removal as a conditional image synthesis challenge, and we propose a trainable spatiotemporal generator network (STGAN) to remove clouds.

CLOUD REMOVAL IMAGE GENERATION SSIM