road-extraction
There are 7 repositories under road-extraction topic.
- Language:OpenEdge ABL 151
- 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.
Language:Python 66 Akhilesh64 / ResUnet-a
Implementation of the paper "ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data" in TensorFlow.
Language:Python 30antran89 / road_visualizer
This software is a modification of Visualizer from Spacenet competition for road extraction. I made it work for DeepGlobe dataset also.
Language:Java 22NekoApocalypse / road-extraction-d-linknet
TensorFlow implementation of D-LinkNet for road extraction.
Language:Python 20akhilchibber / Road-Segmentation
Deep Learning based Road Segmentation using Satellite Imagery
Language:Jupyter Notebook 1- Language:Jupyter Notebook 0
