Seamless Flood Mapping Using Harmonized Landsat and Sentinel-2 Data
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Updated
Sep 24, 2024 - Python
Seamless Flood Mapping Using Harmonized Landsat and Sentinel-2 Data
Missing Information Reconstruction Integrating Isophote Constraint and Color- Structure Control for Remote Sensing Data
Developed an AI System based on Generative Adversarial Networks (GANs) to predict and remove the Clouds and Fog from an Image captured from Satellite. Gets input of a Satellite Image with Clouds and outputs a predicted landscape without clouds. Demo prototype for my internship at ISRO Hyderabad campus National Remote Sensing Centre. Actual proje…
Satellite cloud removal with Deep Image Prior.
This is the official code of the paper "Cloud removal using SAR and optical images via attention mechanism-based GAN"
DSen2-CR: A network for removing clouds from Sentinel-2 images. This repo contains the model code, written in Python/Keras, as well as links to pre-trained checkpoints and the SEN12MS-CR dataset.
Official PyTorch implementation of "PMAA: A Progressive Multi-scale Attention Autoencoder Model for High-Performance Cloud Removal from Multi-temporal Satellite Imagery" (ECAI 2023).
Code for paper: Memory Augment is All Your Need for image restoration(cloud,rain,shadow removal, low-light image enhancement, image deblur)即插即用提点的记忆模块
A curvature-driven cloud removal method for remote sensing images
Cloud Removal for High-resolution Remote Sensing Imagery based on Generative Adversarial Networks.
CloudGAN: Detecting and removing clouds from satellite RGB-images
Q. Zhang, Q. Yuan, J. Li, Z. Li, H. Shen, and L. Zhang, "Thick Cloud and Cloud Shadow Removal in Multitemporal Images using Progressively Spatio-Temporal Patch Group Learning", ISPRS Journal, 2020.
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