Park Net Identifying Urban Parks Using Multi Source Spatial Data And Geo Ai
Project to investigate and develop spatial data-driven Geo-AI models (Convolutional Neural Network) to identify urban greenspace from Satellite images by integrating multiple data sources (e.g. vector data of urban parks)
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Pythonfromspace | 298 | 6 years ago | 6 | bsd-3-clause | Jupyter Notebook | |||||
| Python Examples for Remote Sensing | ||||||||||
| Ossim | 277 | 4 months ago | 29 | mit | C++ | |||||
| Core OSSIM (Open Source Software Image Map) package including C++ code for OSSIM library, command-line applications, tests, and build system | ||||||||||
| S2p | 180 | 9 months ago | 25 | March 05, 2021 | 16 | agpl-3.0 | Python | |||
| Satellite Stereo Pipeline | ||||||||||
| S2p | 139 | 3 years ago | 30 | agpl-3.0 | C | |||||
| This repository is not maintained, please use https://github.com/centreborelli/s2p instead. | ||||||||||
| Satellite Image Analysis | 45 | 5 months ago | mit | Jupyter Notebook | ||||||
| An introduction to script-based satellite image processing using Python | ||||||||||
| Planesnet Detector | 23 | 4 years ago | 2 | Python | ||||||
| Detect airplanes in Planet imagery using machine learning | ||||||||||
| Uncrtaints | 23 | 4 months ago | 1 | Python | ||||||
| Shipsnet Detector | 19 | 4 years ago | Python | |||||||
| Detect container ships in Planet imagery using machine learning | ||||||||||
| Planet Movement | 12 | 4 years ago | Python | |||||||
| Find and process Planet image pairs to highlight object movement | ||||||||||
| Probav | 9 | 5 years ago | gpl-3.0 | Jupyter Notebook | ||||||
| Super-resolution enhancement of PROBA-V satellite images | ||||||||||
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Jupyter Notebook
Tensorflow
Convolutional Neural Networks
Keras
Image Processing
Image Segmentation
Unet
Satellite Imagery