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587 search results found
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
An open source library and framework for deep learning on satellite and aerial imagery.
Satellite imagery for dummies.
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
Earth observation processing framework for machine learning in Python
Python package for earth-observing satellite data processing
Search and download Copernicus Sentinel satellite images
Download and process satellite imagery in Python using Sentinel Hub services.
A utility to search, download and process Landsat 8 satellite imagery
Importer and Exporter of MBTiles
Awesome Geospatial Companies
🌐 List of 500+ geospatial companies (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)
Simple Python GNSS processing library
TernausNetV2: Fully Convolutional Network for Instance Segmentation
Images To Osm
Use Mask R-CNN/Keras/TensorFlow and OSM to find features in satellite images for fun.
framework for large-scale SAR satellite data processing
Track satellites in your terminal
ACM Multimedia2020 University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization 🚁 annotates 1652 buildings in 72 universities around the world.
Spherical mercator tile and coordinate utilities
Quickly view (satellite) imagery directly in your terminal using Unicode 9.0 characters and true color.
Data Preparation for Satellite Machine Learning
Mapbox Sdk Py
Python SDK for Mapbox APIs **DEVELOPMENT IS TEMPORARILY PAUSED, SEE CONTRIBUTING.md**
Python Examples for Remote Sensing
Live Earth Wallpapers
A collection of all earth related space Images in one script to set as your Desktop background.
Eye In The Sky
Satellite Image Classification using semantic segmentation methods in deep learning
Skeleton of a Python package
A Full Featured GPS NMEA-0183 sentence parser for use with Micropython and the PyBoard embedded platform
Quickly view satellite imagery, hyperspectral imagery, and machine learning image outputs directly in your iTerm2 terminal.
CARS is a dedicated and open source 3D tool to produce Digital Surface Models from satellite imaging by photogrammetry.
A convolutional neural network that identifies water in satellite images.
Orbital and astronomy computations in python
A simple yet highly configurable Mastodon/Twitter bot that posts geotagged aerial imagery of a random location in the world.
Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks
Python RINEX 2 / 3 NAV / OBS / sp3 reader & batch convert to HDF5 with C-like speed
Small-Object Detection in Remote Sensing (satellite) Images with End-to-End Edge-Enhanced GAN and Object Detector Network
A Python interface to the 6S Radiative Transfer Model
Scientist friendly Python toolbox for processing 2D satellite Earth observation data.
Deep Learning for Satellite Imagery
AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.
Deep Unet For Satellite Image Segmentation
Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet
GeoWombat: Utilities for geospatial data
Kaggle Understanding Clouds
Code for 1st place solution in Understanding Clouds from Satellite Images Challenge.
Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge
Analyzing Sentinel-2 satellite data in Python with Keras (repository of our talks at Minds Mastering Machines 2019 and PyCon 2018)
Foreman Ansible Modules
Ansible modules for interacting with the Foreman API and various plugin APIs such as Katello
Generalized data analysis workflow via a consistent easy to use interface.
Python Toolkit for GNSS Data
Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.
🌎 Python SDK for UP42, the geospatial marketplace and developer platform.
Sample sample scripts and notebooks on processing satellite imagery
1st place solution to the Satellite Remote Sensing Image Change Detection Challenge hosted by SenseTime
Python library to propagate satellite orbits.
API to get enormous amount of high resolution satellite images from satellites.pro quickly through multi-threading! create map your own map dataset. Bringing data to Humans.
Color correction plugin for rasterio
Satellite Image Object Detection
YOLO/YOLOv2 inspired deep network for object detection on satellite images (Tensorflow, Numpy, Pandas).
Supercharger for mercantile
DSen2-CR: A network for removing clouds from Sentinel-2 images. This repo contains the model code, written in Python/Keras, as well as links to pre-trained checkpoints and the SEN12MS-CR dataset.
Mapbox Cli Py
Command line interface to Mapbox Web Services
PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"
Enigma2 channel and satellite list editor for GNU/Linux and macOS.
AROSICS - Automated and Robust Open-Source Image Co-Registration Software
Mumbai Slum Segmentation
Mumbai slum segmentation and change detection on statellite images.
A plugin command for the Rasterio CLI that exports a raster dataset to an MBTiles 1.1 SQLite file
Vector surfaces creation routines
A python implementation of the ITU-R P. Recommendations for atmospheric attenuation modeling
Building Footprint Segmentation
Building footprint segmentation from satellite and aerial imagery
Change Detection In Satellite Imagery
It employes Principal Component Analysis (PCA) and K-means clustering techniques over difference image to detect changes in multi temporal images satellite imagery.
Google Maps At 88 Mph
Google Maps keeps old satellite imagery around for a while – this tool collects what's available for a user-specified region in the form of a GIF.
Spacebin is a proof-of-concept malware that exfiltrates data (from No Direct Internet Access environments) via triggering AV on the endpoint and then communicating back from the AV's cloud component.
``Newspace'' mega-constellations, such as StarLink and OneWeb are gaining tremendous popularity, with the promising potential to provide high-capacity and low-latency communication globally. However, very little is know about the architecture and performance of such emerging systems, the workload they have to face, as well as the impact of topological options on the attainable network performance.
Satellian Cve 2020 7980
PoC script that shows RCE vulnerability over Intellian Satellite controller
Encoded arbitrary bit depth rasters in pseudo base-256
The program for scheduling recordings and processing of the satellite and ground radio transmissions (like capturing of the weather APT images from NOAA satellites, voice messages from ISS, fixed time recordings of WeatherFaxes etc.) 🌍 📡
📡 PyTorch Lightning Implementations of Recent Satellite Image Classification !
A high performance impermentation of Unsupervised Image Segmentation by Backpropagation - Asako Kanezaki
Tools for reading, remapping, and writing satellite instrument data.
Web API to easily access satellite-based emission data
Collection of examples for pytroll satellite data processing
An Encrypted PEP for Modern Satcoms Security
📡 Receive images from weather satellite GEO-KOMPSAT-2A (GK-2A).
Segmentation Unet Maskrcnn
Code for satellite image segmentation using Unet or Mask RCNN and comparing these two approaches.
Using CNNs and Sentinel-2 satellite data to predict landslides
Pyspectral is a package to read and manipulate satellite sensor spectral responses and solar irradiance spectra
Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series
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 densely compacted areas using medium resolution satellite/UAV orthoimages. We adopted standard UNET architecture, additionally added batch normalization layer after every convolution, to label every pixel in the image.
A Cross-Domain Data Hub with Electricity Market, Coronavirus Case, Mobility and Satellite Data in U.S.
Process Satellite data using AWS Lambda functions
Spire port of predict open-source tracking library
Satellite tracking with video cameras
Code and CAD/PCB files for my satellite tracker
Real time satellite tracking with antennas.
Parallel processing wrapper for rasterio
🌏 📡 🌏 📡 LEOGPS - Satellite Navigation with GPS on Python!
Calculating some statistics about Starlink satellites
Python utilities for processing satellite position observations and managing TLEs
Extract Satellite Imagery from public constellations at scale
Apple geolocation services reverse engineering. Database scraper.
DeepGlobe Land Cover Classification Challenge
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