Alternatives and similar repositories for super-resolution:

Users that are interested in super-resolution are comparing it to the libraries listed below

• developmentseed / spacenet-data
  Scripts for setting up the SpaceNet dataset for training a SegNet model
  ☆43Updated 8 years ago
• DigitalGlobe / GGD-OpenSpaceNet
  General CLI for DeepCore
  ☆15Updated 6 years ago
• planetlabs / planet-amazon-deforestation
  ☆68Updated 7 years ago
• aurotripathy / ssd-spacenet
  Detect buildings in the Spacenet satellite imagery dataset using Single Shot MultiBox Detector (SSD)
  ☆57Updated 8 years ago
• SpaceNetChallenge / BuildingDetectorVisualizer
  The purpose of the visualizer application is to let you view 3-band and 8-band images, view ground truth building footprints and your sol…
  ☆18Updated 8 years ago
• CosmiQ / basiss
  Broad Area Satellite Imagery Semantic Segmentation
  ☆24Updated 6 years ago
• fMoW / first_place_solution
  ☆46Updated 6 years ago
• jqtrde / remote
  Remote sensing datasets and sources.
  ☆64Updated 7 years ago
• PlatformStories / notebooks
  GBDX Stories notebooks.
  ☆31Updated 7 years ago
• DigitalGlobe / geoio
  Easily interact with geospatial data, particularly Digitalglobe Imagery
  ☆33Updated 4 years ago
• fMoW / baseline
  ☆41Updated 6 years ago
• developmentseed / skynet-data
  [DEPRECATED] Data pipeline for machine learning with OpenStreetMap
  ☆170Updated 6 years ago
• mshiv / sat-seg
  Deep learning for semantic segmentation of satellite imagery
  ☆10Updated last year
• mathildor / TF-SegNet
  SegNet-like network implemented in TensorFlow to use for segmenting aerial images
  ☆102Updated 6 years ago
• HyperionAnalytics / PyDataNYC2014
  "Analyzing Satellite Images With Python Scientific Stack" by Milos Miljkovic
  ☆75Updated 10 years ago
• larsroemheld / OSM-HOT-ConvNet
  Using convolutional neural networks to pre-classify images for the humanitarian openstreetmap team (HOT & mapgive).
  ☆44Updated 6 years ago
• mapbox / rio-toa
  Top Of Atmosphere (TOA) calculations for Landsat 8
  ☆39Updated 3 years ago
• planetlabs / radiometric_normalization
  Implementation of radiometric normalization workflows
  ☆33Updated last year
• mitmul / ssai-cnn
  Semantic Segmentation for Aerial / Satellite Images with Convolutional Neural Networks including an unofficial implementation of Volodymy…
  ☆261Updated 3 years ago
• repository-preservation / lcmap-change-detection-c
  LCMAP modules for change detection [WIP]
  ☆10Updated 7 years ago
• SpaceNetChallenge / utilities
  Packages intended to assist in the preprocessing of SpaceNet satellite imagery data corpus to a format that is consumable by machine lear…
  ☆249Updated 5 years ago
• olivierhagolle / Start_maja
  To process a Sentinel-2 time series with MAJA cloud detection and atmospheric correction processor
  ☆51Updated 4 years ago
• prs021 / fmask
  Automatically exported from code.google.com/p/fmask
  ☆46Updated 6 years ago
• DigitalGlobe / gbdxtools
  (Deprecated) Python SDK for using GBDX
  ☆74Updated 3 years ago
• treigerm / WaterNet
  A convolutional neural network that identifies water in satellite images.
  ☆249Updated 8 years ago
• developmentseed / skynet-train
  Training and test the SegNet neural network on satellite imagery
  ☆206Updated 6 years ago
• SpaceNetChallenge / BuildingDetectors
  Winning building footprint detector implementations from the SpaceNet challenges.
  ☆157Updated 7 years ago
• rodrigoberriel / satellite-crosswalk-classification
  Deep Learning Based Large-Scale Automatic Satellite Crosswalk Classification (GRSL, 2017)
  ☆21Updated 2 years ago
• mani-shailesh / satimage
  Code and models for the manuscript "Predicting Poverty and Developmental Statistics from Satellite Images using Multi-task Deep Learning"
  ☆35Updated 6 years ago
• DigitalGlobe / mltools
  A collection of Machine Learning Tools for object detection and classification on DG imagery.
  ☆81Updated 4 years ago