Alternatives and similar repositories for road-extraction-from-aerial-images:

Users that are interested in road-extraction-from-aerial-images are comparing it to the libraries listed below

• mahmoudmohsen213 / airs
  Road Segmentation in Satellite Aerial Images
  ☆58Updated 4 years ago
• CosmiQ / basiss
  Broad Area Satellite Imagery Semantic Segmentation
  ☆24Updated 6 years ago
• jiankang1991 / road_extraction_remote_sensing
  Road Extraction based on U-Net architecture (CVPR2018 DeepGlobe Challenge submission)
  ☆81Updated 5 years ago
• yfeng997 / satellite_building_detection.pytorch
  Experiments to detect and classify residential buildings from satellite images
  ☆32Updated 5 years ago
• ManishSahu53 / Vector-Map-Generation-from-Aerial-Imagery-using-Deep-Learning-GeoSpatial-UNET
  We propose a simple yet efficient technique to leverage semantic segmentation model to extract and separate individual buildings in dense…
  ☆95Updated 3 years ago
• ctu-geoforall-lab / i.ann.maskrcnn
  Mask R-CNN in GRASS GIS
  ☆40Updated 4 years ago
• Geoyi / pixel-decoder
  A tool for running deep learning algorithms for semantic segmentation with satellite imagery
  ☆80Updated last year
• jeradhoy / DeepSatelliteData
  List of labelled remote sensing datasets for use in deep learning.
  ☆58Updated 8 years ago
• avanetten / spacenet_buildings_exploration
  Python code for transforming SpaceNet building labels
  ☆19Updated 5 years ago
• CosmiQ / apls
  Python code to evaluate the APLS metric
  ☆110Updated 4 years ago
• jshermeyer / SR_Utils
  Super-Resolution Utilities for managing large satellite images
  ☆16Updated 6 years ago
• NekoApocalypse / road-extraction-d-linknet
  TensorFlow implementation of D-LinkNet for road extraction.
  ☆23Updated 6 years ago
• CosmiQ / cresi
  Road network extraction from satellite imagery, with speed and travel time estimates
  ☆68Updated 4 years ago
• allykgray / DetectionTutorialSpaceNet
  This is a tutorial on training a network to detect buildings with the SpaceNet data.
  ☆25Updated 6 years ago
• R-Stefano / Remote-Sensing-Analysis
  Implementing a remote sensing object detector using Tensorflow object detection API
  ☆22Updated 5 years ago
• tropicalmentat / land-cover-to-land-use-classification
  Satellite image processing pipeline to classify land-cover and land-use
  ☆82Updated 7 years ago
• fMoW / first_place_solution
  ☆46Updated 6 years ago
• granularai / fabric
  Urban change model designed to identify changes across 2 timestamps
  ☆61Updated last year
• tgrippa / Opensource_OBIA_processing_chain
  An open-source semi-automated processing chain for urban OBIA classification.
  ☆77Updated 4 years ago
• paramoecium / road-segmentation
  Road extraction from aerial images
  ☆20Updated 7 years ago
• huster-wgm / geoseg
  Geoseg - A Computer Vision Package for Automatic Building Segmentation and Outline extraction
  ☆108Updated 3 years ago
• junjieliwhu / LabelRS
  A toolbox to make deep learning samples from remote sensing images
  ☆35Updated last year
• rhammell / shipsnet-detector
  Detect container ships in Planet imagery using machine learning
  ☆34Updated 4 years ago
• vbhavank / Unstructured-change-detection-using-CNN
  Unstructured Change detection in satellite imagery
  ☆59Updated 4 years ago
• rmkemker / EarthMapper
  Pipeline for the Semantic Segmentation (i.e., classification) of Remote Sensing Imagery
  ☆98Updated last year
• topcoderinc / Urban3d
  USSOCOM Urband 3D mapper Marathon Match
  ☆43Updated 3 years ago
• nksaraf / lepton-footprint-extraction
  Automated building polygon extraction from satellite imagery
  ☆15Updated 5 years ago
• sshuair / dl-docker-geospatial
  Deep learning docker files and docker images for geospatial anaysis.
  ☆36Updated 6 years ago
• wildphoton / 2017Summer_Duke
  Deep learning based semantic segmentation on satellite images
  ☆8Updated 7 years ago
• fMoW / baseline
  ☆41Updated 6 years ago