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satellite-image-segmentation

Here are 3 public repositories matching this topic...

Label-Pixels

venkanna37 / Label-Pixels

Label-Pixels is the tool for semantic segmentation of remote sensing images using Fully Convolutional Networks. Initially, it is designed for extracting the road network from remote sensing imagery and now, it can be used to extract different features from remote sensing imagery.

machine-learning deep-learning tensorflow keras gdal artificial-intelligence remote-sensing segmentation satellite-imagery unet segnet semantic-segmentation fully-convolutional-networks msc-project pixel-labeling road-extraction resunet satellite-image-segmentation label-pixels

Updated Nov 7, 2022
Python

BEEILAB / Satellite-image-segmentation-using-segment-anything-model

python sam image-segmentation satellite-image-segmentation segment-anything-model

Updated Dec 30, 2023
Jupyter Notebook

HiGal / Satellite-Image-Segmentation

Solution that we have achieved on GIS Tech Hack hackathon on building segmentation

hackathon satellite segmentation keras-tensorflow satellite-image-segmentation

Updated Apr 18, 2019
Jupyter Notebook

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