justjoshtings / satellite_image_segmentationLinks
Experimented with a U-Net variant to perform pixel wise multi-class classification to segment high resolution satellite imagery into land use types with potential applications in deforestation and flood monitoring. Developed with TensorFlow framework.
☆26Updated 3 years ago
Alternatives and similar repositories for satellite_image_segmentation
Users that are interested in satellite_image_segmentation are comparing it to the libraries listed below
Sorting:
- Project developed for a Kaggle Competition organised by CentraleSupelec Deep Learning course. Final result: 1st place☆37Updated 2 years ago
- [GSRL] Dual Stream U-Net architecture for urban change detection using Sentinel-1 and Sentinel-2 data fusion.☆68Updated 2 years ago
- A deep learning model for surface water mapping based on satellite optical image.☆113Updated 4 years ago
- S1S2-Water: A global dataset for semantic segmentation of water bodies from Sentinel-1 and Sentinel-2 satellite images☆48Updated last year
- Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches …☆94Updated 2 years ago
- Crop classification of fields in South Africa using multispectral imagery☆17Updated 2 years ago
- ☆31Updated 5 years ago
- Code repository for "Self-supervised Vision Transformers for Land-cover Segmentation and Classification", CVPR EarthVision Workshop 2022 …☆89Updated 2 years ago
- A list of datasets aiming to enable Artificial Intelligence applications that use Copernicus data.☆172Updated last year
- Application of deep learning for earth observation.☆120Updated last year
- Image classification on Sentinel-2 satellite imagery.☆38Updated 2 years ago
- Deep learning system; Docker image access; Pypi package; GEE access; image segmentation; density estimation; dataset open; pre-trained mo…☆103Updated 7 months ago
- Code repository for the paper Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networ…☆102Updated 3 years ago
- Slums detection through VHR and MR imagery☆14Updated last year
- Deep learning models for remote sensing applications☆194Updated last year
- crop classification using deep learning on satellite images☆127Updated 4 years ago
- Land Cover Change Detection using Satellite Image Segmentation.☆50Updated 9 months ago
- ☆12Updated 3 years ago
- Crop type mapping of small holder farms in Ghana, and South Sudan☆89Updated 2 years ago
- This repo is the solution for landslide4Sense challenge.☆52Updated 3 years ago
- Individual tree crown delineation in optical remote sensing images☆105Updated last year
- Sentinel-1 image pre-processing using snappy.☆96Updated 3 years ago
- This repository houses a novel patch-based dataset compiled using optical satellite images of Canadian agricultural croplands retrieved f…☆43Updated 2 years ago
- Urbanization detection using computer vision algorithms to reduce the reliance on the data of government surveys, which will speed up the…☆17Updated 5 years ago
- NGA Deep Learning☆28Updated 4 years ago
- Manually Annotated High Resolution Satellite Image Dataset of Mumbai for Semantic Segmentation☆15Updated 2 years ago
- Sentinel 1 pipeline using SNAP GPT 7.0☆39Updated 2 years ago
- SEN12-FLOOD Dataset☆33Updated 5 years ago
- ☆206Updated 4 years ago
- This repository contains code for implementing multi class semantic segmentation (specifically applied to satellite image classification)…☆51Updated 3 years ago