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Latest papers without code

Cloud removal in remote sensing images using generative adversarial networks and SAR-to-optical image translation

22 Dec 2020

We used the SEN1-2 dataset to train and test both GANs, and we made cloudy images by adding synthetic clouds to optical images.

CLOUD REMOVAL SSIM

Multi-Head Linear Attention Generative Adversarial Network for Thin Cloud Removal

20 Dec 2020

In remote sensing images, the existence of the thin cloud is an inevitable and ubiquitous phenomenon that crucially reduces the quality of imageries and limits the scenarios of application.

CLOUD REMOVAL

Thick Cloud Removal of Remote Sensing Images Using Temporal Smoothness and Sparsity-Regularized Tensor Optimization

11 Aug 2020

In this paper, a novel thick cloud removal method for remote sensing images based on temporal smoothness and sparsity-regularized tensor optimization (TSSTO) is proposed.

CLOUD REMOVAL

Reading Industrial Inspection Sheets by Inferring Visual Relations

11 Dec 2018

Over the years, millions of such inspection sheets have been recorded and the data within these sheets has remained inaccessible.

CLOUD REMOVAL

Multi-temporal Sentinel-1 and -2 Data Fusion for Optical Image Simulation

26 Jul 2018

In this paper, we present the optical image simulation from a synthetic aperture radar (SAR) data using deep learning based methods.

CLOUD REMOVAL

Filmy Cloud Removal on Satellite Imagery with Multispectral Conditional Generative Adversarial Nets

13 Oct 2017

The networks are trained to output images that are close to the ground truth using the images synthesized with clouds over the ground truth as inputs.

CLOUD REMOVAL