Mattymar / satellite-image-segmentation
My final project for the Metis Data Science Bootcamp, satellite image segmentation, in partnership with Digital Globe.
☆10Updated 6 years ago
Related projects: ⓘ
- This repository contains all the codes and data for semantic geologic segmentation of Landsat 8 images☆17Updated 6 years ago
- Codebase for land cover classification with U-Net☆17Updated 5 years ago
- Experiments to detect and classify residential buildings from satellite images☆30Updated 4 years ago
- Winning Solutions from Crop Type Detection Competition at CV4A workshop, ICLR 2020☆63Updated 4 years ago
- ☆17Updated 4 years ago
- Experimenting with convolutional neural networks (CNN) to detect buildings in satellite imagery☆12Updated 6 years ago
- Deep Neural Network with keras(TensorFlow GPU backend) Python: Satellite-Image Classification☆36Updated 6 years ago
- Deep learning courses and projects☆97Updated 6 years ago
- Building Segmentation from Fused Satellite and Aerial Imagery Datasets using U-Net in FastAI☆13Updated 5 years ago
- Satellite image processing pipeline to classify land-cover and land-use☆79Updated 7 years ago
- A deep learning approach for mapping and dating burned areas using temporal sequences of satellite images☆39Updated last year
- Super-Resolution Utilities for managing large satellite images☆16Updated 5 years ago
- ☆27Updated last year
- The SpaceNet 7 Baseline Algorithm☆33Updated 3 years ago
- Satsense is a Python library for land use/cover classification using satellite imagery☆23Updated 4 years ago
- Project developed for a Kaggle Competition organised by CentraleSupelec Deep Learning course. Final result: 1st place☆28Updated last year
- Mask RCNN trained to detect buildings from the SpaceNet Off Nadir dataset☆18Updated 4 years ago
- Source code and files mentioned in the medium post titled "Is CNN equally shiny on mid-resolution satellite data?" available at https://t…☆47Updated 3 years ago
- Deep learning pretrained model on satellite imagery (Sentinel-2)☆77Updated 5 years ago
- Determine land use and land cover classification based on Sentinel-2 satellite images with state-of-the-art performance 🛰☆24Updated 5 years ago
- Replication code for "Supervised Classification of Built-up Areas in Sub-Saharan African Cities using Landsat Imagery and OpenStreetMap"☆17Updated 5 years ago
- Deep Semangtic segmentation of Worldview-3 satellite images using a U-net (DSTL kaggle competition)☆25Updated 4 years ago
- ☆31Updated 5 years ago
- Road network extraction from satellite imagery, with speed and travel time estimates☆66Updated 4 years ago
- Winners of the Open Cities AI Challenge competition☆118Updated 11 months ago
- Tutorials and workshop materials for solaris☆24Updated 4 years ago
- Image classification on Sentinel-2 satellite imagery.☆30Updated last year
- Enhancement of MODIS NIDVI to 10m resolution using U-Net☆28Updated last year
- Convolutional NN for change detection☆21Updated 4 years ago
- a deep-learning-based river centerline extraction model☆26Updated 6 years ago