JakeForsey / synthetic-disaster
Generates synthetic satellite images of natural disasters using deep neural networks.
☆10Updated 2 years ago
Alternatives and similar repositories for synthetic-disaster
Users that are interested in synthetic-disaster are comparing it to the libraries listed below
Sorting:
- ☆18Updated 3 years ago
- A dataset with Space (Sentinel-1/2) and Ground (street-level images) components, annotated with crop-type labels for agriculture monitori…☆20Updated 2 years ago
- ☆10Updated 7 months ago
- This repository contains the files for running the Patchify GUI.☆11Updated 3 years ago
- Using GAN to do super resolution of satellite images☆15Updated 4 years ago
- Dataset for training and evaluating tree detectors in urban environments with aerial imagery☆35Updated 11 months ago
- A simple script to create geo-tagged image chips from high-resolution RS images for training deep learning models such as U-net.☆14Updated 3 years ago
- An implementation of the temporal cluster matching method for detecting change in structure footprints from time series of remotely sense…☆19Updated 3 years ago
- SHAP-Based Interpretable Object Detection Method for Satellite Imagery☆14Updated 2 years ago
- AgriFieldNet Model for Crop Detection from Satellite Imagery☆19Updated 2 years ago
- Road Detection from Remote Sensing Imagery using Deep Learning Techniques☆18Updated 2 years ago
- Enhancement of MODIS NIDVI to 10m resolution using U-Net☆30Updated 2 years ago
- ☆10Updated last year
- Satellite Image Augmetation with GANs☆19Updated 3 years ago
- Cross-dataset Learning for Generalizable Land Use Classification (PyTorch)☆10Updated 2 years ago
- This repository contains code for experiments using the winning mode for xView2 "xView2: Assess Building Damage" challenge and a simple …☆25Updated last year
- ☆68Updated 11 months ago
- Pytorch dataloader and pytorch lightning datamodule for Earth Observation imagery☆15Updated 3 years ago
- NASA SEES (2021): CNN Mosquito Detection Research☆12Updated 3 years ago
- ☆17Updated 5 years ago
- ☆12Updated last month
- Automatic Detection of Solar Panels in High-Resolution Aerial Imagery.☆18Updated last week
- A deep learning approach for mapping and dating burned areas using temporal sequences of satellite images☆40Updated last year
- Centroid-UNet is deep neural network model to detect centroids from satellite images.☆31Updated 3 years ago
- Classify crop types in drone images with a pre-trained CNN☆11Updated 5 years ago
- Land Use and Land Cover Mapping Using Deep Learning Based Segmentation Approaches and VHR Worldview-3 Images☆19Updated 2 years ago
- ☆13Updated 2 years ago
- Learning to predict crop type from heterogeneous sparse labels using meta-learning☆19Updated 3 years ago
- SegEval is a Python library that provides tools for evaluating semantic segmentation models☆12Updated last year
- Scripts to process aerial imagery☆33Updated 4 years ago