This is the offical implementation for our paper "An effective cloud detection method for GaoFen-5 images via deep learning"
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Updated
May 9, 2022
This is the offical implementation for our paper "An effective cloud detection method for GaoFen-5 images via deep learning"
GF-1 Cloud and Cloud Shadow Detection Dataset
Cloud segmentation and detection with focus on interpretibility.
A follow up demo of my work done for the on-cloud-n competition
Repository for the code of my Bachelor's thesis
The definitive Python implementation of FMask 4.3 for Landsat 8 and Sentinel 2
Reproducible approach to detect deforestation in near real time by NDVI computation of satellite imagery.
High-Resolution Google Earth Image Cloud Detection Dataset
Public code for "Precise Forecasting of Sky Images Using Spatial Warping", ICCVW 2021
Open Satellite Image Cloud Detection Resources (Datasets and Tools)
This repository contains code for cloud detection and motion prediction algorithms developed during SIH 2020.
Clouds detection in optical satellite images with a variante of k-means algorithm that uses spatial informations.
Cloud Type Detection with Segmentation using CNN (Segmentation Models)
Cloud detection with machine learning using the RGBN bands
Cloud Detection Model for Sentinel-2 Imagery (see https://registry.opendata.aws/sentinel-2/)
Detected cloud in publically available satellite imagery from Sentinal 2 mission. Team project for the CloudNCloud competition hosted by Microsoft AI at DrivenData.
A robust encoder-decoder architecture for cloud detection from satellite remote sensing images
classification of satellite images using convolutional neural networks with Python and Keras
Understanding the Role of Receptive Field of Convolutional Neural Network for Cloud Detection in Landsat 8 OLI Imagery
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