Alternatives and similar repositories for solaris:

Users that are interested in solaris are comparing it to the libraries listed below

• NRCan / geo-deep-learning
  Deep learning applied to georeferenced datasets
  ☆166Updated 3 weeks ago
• sshuair / torchsat
  🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.
  ☆397Updated 4 years ago
• sentinel-hub / sentinel2-cloud-detector
  Sentinel Hub Cloud Detector for Sentinel-2 images in Python
  ☆453Updated 7 months ago
• azavea / raster-vision-examples
  Examples of using Raster Vision on open datasets
  ☆174Updated 4 years ago
• developmentseed / label-maker
  Data Preparation for Satellite Machine Learning
  ☆465Updated last year
• jensleitloff / CNN-Sentinel
  Analyzing Sentinel-2 satellite data in Python with Keras (repository of our talks at Minds Mastering Machines 2019 and PyCon 2018)
  ☆194Updated 3 years ago
• stac-utils / pystac
  Python library for working with any SpatioTemporal Asset Catalog (STAC)
  ☆386Updated 2 weeks ago
• martibosch / detectree
  Tree detection from aerial imagery in Python
  ☆255Updated this week
• CS-SI / eodag
  Earth Observation Data Access Gateway
  ☆359Updated this week
• microsoft / landcover
  Land Cover Mapping
  ☆203Updated last year
• avanetten / cresi
  Road network extraction from satellite imagery, with speed and travel time estimates
  ☆189Updated 2 years ago
• attibalazs / awesome-remote-sensing
  Collection of Remote Sensing Resources
  ☆108Updated 3 years ago
• deepVector / geospatial-machine-learning
  A curated list of resources focused on Machine Learning in Geospatial Data Science.
  ☆651Updated 6 years ago
• sentinel-hub / eo-learn
  Earth observation processing framework for machine learning in Python
  ☆1,170Updated 2 months ago
• biasvariancelabs / aitlas
  AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.
  ☆200Updated 2 months ago
• microsoft / satellite-imagery-labeling-tool
  This is a lightweight web-interface for creating and sharing vector annotations over satellite/aerial imagery scenes.
  ☆279Updated 6 months ago
• yangsiyu007 / SpaceNetExploration
  A sample project demonstrating how to extract building footprints from satellite images using a semantic segmentation model. Data from th…
  ☆104Updated 4 years ago
• SpaceNetChallenge / BuildingDetectors_Round2
  Building detector algorithms from second SpaceNet Challenge
  ☆193Updated 4 years ago
• datasciencecampus / laika
  Experiments with satellite image data
  ☆121Updated 5 years ago
• lanha / DSen2
  Super-Resolution of Sentinel-2 Images: Learning a Globally Applicable Deep Neural Network
  ☆251Updated 5 months ago
• phelber / EuroSAT
  EuroSAT: Land Use and Land Cover Classification with Sentinel-2
  ☆450Updated 2 years ago
• chrieke / InstanceSegmentation_Sentinel2
  🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis
  ☆410Updated 2 years ago
• opengeos / whitebox-python
  WhiteboxTools Python Frontend
  ☆391Updated 2 months ago
• remicres / otbtf
  Deep learning with otb (mirror of https://forgemia.inra.fr/orfeo-toolbox/otbtf)
  ☆161Updated last month
• cogeotiff / rio-tiler
  User friendly Rasterio plugin to read raster datasets.
  ☆544Updated this week
• CosmiQ / cresi
  Road network extraction from satellite imagery, with speed and travel time estimates
  ☆68Updated 4 years ago
• Esri / raster-deep-learning
  ArcGIS built-in python raster functions for deep learning to get you started fast.
  ☆197Updated 8 months ago
• DIUx-xView / xView2_baseline
  Baseline localization and classification models for the xView 2 challenge.
  ☆224Updated last year
• acgeospatial / Satellite_Imagery_Python
  Sample scripts and notebooks on processing satellite imagery Python Geospatial raster
  ☆191Updated last week
• motokimura / spacenet_building_detection
  Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.
  ☆195Updated last year