orion29 / Satellite-Image-Segmentation-for-Flood-Damage-Analysis
Satellite Image Segmentation for Flood Detection and Analysis using UNET with Resnet-34 as the back bone.
☆37Updated 4 years ago
Alternatives and similar repositories for Satellite-Image-Segmentation-for-Flood-Damage-Analysis:
Users that are interested in Satellite-Image-Segmentation-for-Flood-Damage-Analysis are comparing it to the libraries listed below
- This Keras code is for the paper Residual wave vision U-Net for flood mapping using dual polarization Sentinel-1 SAR imagery☆☆15Updated last year
- List of datasets and codes for remote sensing LULC applications.☆37Updated 7 months ago
- SEN12-FLOOD Dataset☆28Updated 4 years ago
- Crop classification of fields in South Africa using multispectral imagery☆18Updated 2 years ago
- Dual Stream U-Net architecture for urban change detection using Sentinel-1 and Sentinel-2 data fusion.☆61Updated last year
- MSc Thesis - Data Science - UoP & NCSR "Demokritos"☆13Updated 2 years ago
- ☆32Updated last year
- Code and data for Kuro Siwo flood mapping dataset☆54Updated this week
- Land Cover Change Detection using Satellite Image Segmentation.☆49Updated 2 months ago
- S1S2-Water: A global dataset for semantic segmentation of water bodies from Sentinel-1 and Sentinel-2 satellite images☆33Updated 9 months ago
- ThomasWangWeiHong / Water-Body-Extraction-from-Very-High-Spatial-Resolution-Remote-Sensing-Data-Based-on-FCNsPython implementation of Convolutional Neural Network (CNN) proposed in academia☆24Updated 5 years ago
- A CNN-RNN based model that identifies correlations between optical and SAR data and exports dense Normalized Difference Vegetation Index …☆43Updated 8 months ago
- ☆38Updated last year
- Starter notebook for AI4EO #MapYourCity challenge☆13Updated 11 months ago
- Code and experiments for the paper, "A Change Detection Reality Check", Corley et al.☆45Updated 7 months ago
- This repository houses a novel patch-based dataset compiled using optical satellite images of Canadian agricultural croplands retrieved f…☆43Updated last year
- Sen4AgriNet: A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning☆93Updated 3 months ago
- Translating Landsat 8 to Sentinel-2 using a GAN☆22Updated 4 years ago
- This is a Semester Project which aim is to implement a Deep Learning model in order to detect Flood Events from Satellite Images☆31Updated 2 years ago
- Satellite cloud removal with Deep Image Prior.☆66Updated 6 months ago
- Training and deployment of deep learning models for satellite & aerial imagery☆51Updated 7 months ago
- Image classification on Sentinel-2 satellite imagery.☆33Updated last year
- ML Flood Finder Package from Sentinel 1 (SAR) Imagery☆29Updated 7 months ago
- Code for journal paper "Deep Learning for Land Cover Change Detection".☆38Updated 4 years ago
- ☆42Updated last year
- Quick start guide for benchmarking MagicBathyNet dataset in learning-based bathymetry and pixel-based classification using Remote Sensing…☆29Updated 3 weeks ago
- Automatically create machine learning datasets from satellite images☆42Updated 2 years ago
- geospatial-study☆27Updated 9 months ago
- This repository implements a framework to perform semantic segmentation of polarimetric SAR images, coming form Sentinel satellites, usin…☆16Updated 3 years ago
- ☆56Updated 8 months ago