dariopavllo / road-segmentationLinks
Satellite image segmentation using convolutional neural networks.
☆37Updated 7 years ago
Alternatives and similar repositories for road-segmentation
Users that are interested in road-segmentation are comparing it to the libraries listed below
Sorting:
- Road Segmentation in Satellite Aerial Images☆60Updated 5 years ago
- This is a tutorial on training a network to detect buildings with the SpaceNet data.☆25Updated 7 years ago
- Satellite Imagery Feature Detection (68 out of 419)☆31Updated last year
- Dstl Satellite Imagery Feature Detection☆144Updated 7 years ago
- List of labelled remote sensing datasets for use in deep learning.☆58Updated 8 years ago
- ☆31Updated 8 years ago
- End-to-End Learning of Polygons for Remote Sensing Image Classification☆45Updated 6 years ago
- Mask R-CNN in GRASS GIS☆40Updated 4 years ago
- SegNet-like network implemented in TensorFlow to use for segmenting aerial images☆101Updated 6 years ago
- Deep learning for semantic segmentation of satellite imagery☆10Updated last year
- YOLO/YOLOv2 inspired deep network for object detection on satellite images (Tensorflow, Numpy, Pandas).☆123Updated 7 years ago
- Broad Area Satellite Imagery Semantic Segmentation☆24Updated 6 years ago
- a deep-learning-based river centerline extraction model☆26Updated 7 years ago
- Baseline models, scripts, and helper functions for the SpaceNet 4: Off-Nadir Building Detection Challenge☆18Updated 5 years ago
- Mask RCNN trained to detect buildings from the SpaceNet Off Nadir dataset☆17Updated 5 years ago
- We propose a simple yet efficient technique to leverage semantic segmentation model to extract and separate individual buildings in dense…☆95Updated 3 years ago
- ☆32Updated 6 years ago
- Winning building footprint detector implementations from the SpaceNet challenges.☆157Updated 8 years ago
- Detect buildings in the Spacenet satellite imagery dataset using Single Shot MultiBox Detector (SSD)☆57Updated 8 years ago
- Tree Crown Image Segmentation through Clustering with RGB, Hyperspectral and LiDAR as inputs☆25Updated 6 years ago
- ☆46Updated 7 years ago
- Starter kit for getting started in the crowdAI Mapping Challenge☆39Updated 7 years ago
- Using Pytorch implementation of U-Net architecture for road and building extraction☆125Updated 6 years ago
- Automated building polygon extraction from satellite imagery☆15Updated 5 years ago
- Super-Resolution Utilities for managing large satellite images☆16Updated 6 years ago
- Building detector algorithms from second SpaceNet Challenge☆193Updated 4 years ago
- Pipeline for the Semantic Segmentation (i.e., classification) of Remote Sensing Imagery☆96Updated last year
- Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge☆167Updated 6 years ago
- Satellite Imagery preprocessing for object detection☆14Updated 6 years ago
- Experiments with satellite image data☆121Updated 5 years ago