Satellite Imagery Road Extraction
Developed a Software for semantic segmentation of remote sensing imagery using Fully Convolutional Networks (FCNs). Initially, this software developed for extracting the road network from high-resolution remote sensing imagery. And now, this software can be used to extract various features (Semantic segmentation of remote sensing imagery). This project can also extract from Vector Data. This is part of my Internship at ISRO (Indian SPace Research Organization)'s NRSC (National Remote Sensing Centre) campus.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Techniques | 7,678 | 16 days ago | 2 | apache-2.0 | ||||||
| Techniques for deep learning with satellite & aerial imagery | ||||||||||
| Awesome Geospatial | 3,703 | 3 months ago | cc0-1.0 | |||||||
| Long list of geospatial tools and resources | ||||||||||
| Awesome Satellite Imagery Datasets | 3,381 | 2 years ago | mit | |||||||
| 🛰️ List of satellite image training datasets with annotations for computer vision and deep learning | ||||||||||
| Sahi | 3,340 |  | 12 | 3 months ago | 101 | November 05, 2023 | 11 | mit | Python | |
| Framework agnostic sliced/tiled inference + interactive ui + error analysis plots | ||||||||||
| Raster Vision | 1,956 |  | 7 | 3 months ago | 11 | October 17, 2023 | 42 | other | Python | |
| An open source library and framework for deep learning on satellite and aerial imagery. | ||||||||||
| Grass | 725 | 3 months ago | 477 | other | C | |||||
| GRASS GIS - free and open-source geospatial processing engine | ||||||||||
| Change Detection Review | 352 | 3 years ago | 1 | |||||||
| A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges. | ||||||||||
| Eye In The Sky | 248 | 2 years ago | 6 | apache-2.0 | Python | |||||
| Satellite Image Classification using semantic segmentation methods in deep learning | ||||||||||
| Awesome_satellite_benchmark_datasets | 231 | 6 months ago | 1 | Jupyter Notebook | ||||||
| Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided. | ||||||||||
| Geospatial Machine Learning | 196 | 6 years ago | mit | |||||||
| A curated list of resources focused on Machine Learning in Geospatial Data Science. | ||||||||||
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Python
Machine Learning
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Remote Sensing
Satellite Imagery