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199 search results found

Earthenterprise ⭐ 2,559

Google Earth Enterprise - Open Source

Raster Vision ⭐ 1,956

An open source library and framework for deep learning on satellite and aerial imagery.

Felicette ⭐ 1,751

Satellite imagery for dummies.

Robosat ⭐ 1,639

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

Eo Learn ⭐ 1,064

Earth observation processing framework for machine learning in Python

Sentinelhub Py ⭐ 753

Download and process satellite imagery in Python using Sentinel Hub services.

Landsat Util ⭐ 617

A utility to search, download and process Landsat 8 satellite imagery

Notebooks ⭐ 567

interactive notebooks from Planet Engineering

Sentinel2 Cloud Detector ⭐ 380

Sentinel Hub Cloud Detector for Sentinel-2 images in Python

Mercantile ⭐ 378

Spherical mercator tile and coordinate utilities

Quickly view (satellite) imagery directly in your terminal using Unicode 9.0 characters and true color.

Label Maker ⭐ 358

Data Preparation for Satellite Machine Learning

Pythonfromspace ⭐ 298

Python Examples for Remote Sensing

Cloudless ⭐ 290

Deep learning pipeline for orbital satellite data for detecting clouds

Utilities ⭐ 213

Packages intended to assist in the preprocessing of SpaceNet satellite imagery data corpus to a format that is consumable by machine learning algorithms.

Quickly view satellite imagery, hyperspectral imagery, and machine learning image outputs directly in your iTerm2 terminal.

Waternet ⭐ 202

A convolutional neural network that identifies water in satellite images.

Aerialbot ⭐ 197

A simple yet highly configurable Mastodon/Twitter bot that posts geotagged aerial imagery of a random location in the world.

Limited Error Raster Compression

Onearth ⭐ 172

High-performance web services for tiled raster imagery and vector tiles

Deep Learning for Satellite Imagery

Deep Unet For Satellite Image Segmentation ⭐ 155

Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

Kaggle_dstl_submission ⭐ 146

Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge

Danesfield ⭐ 136

Kitware's system for 3D building reconstruction for the IARPA CORE3D program

Satellite_imagery_python ⭐ 126

Sample sample scripts and notebooks on processing satellite imagery

Detectree ⭐ 120

Tree detection from aerial imagery in Python

Eeg Motor Imagery Classification Cnns Tensorflow ⭐ 118

EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow

Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery (CVPR 2020) https://arxiv.org/pdf/2011.09766.pdf

Optimizerasters ⭐ 112

OptimizeRasters is a set of tools for converting raster data to optimized Tiled TIF or MRF files, moving data to cloud storage, and creating Raster Proxies.

Gta 3d Dataset ⭐ 112

A dataset of 2D imagery, 3D point cloud data, and 3D vehicle bounding box labels all generated using the Grand Theft Auto 5 game engine.

Rio Color ⭐ 109

Color correction plugin for rasterio

Roadtracer ⭐ 107

Supermercado ⭐ 106

Supercharger for mercantile

Semi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery.

Hsi_classification ⭐ 98

Classification for hyperspectral imagery

Mumbai Slum Segmentation ⭐ 90

Mumbai slum segmentation and change detection on statellite images.

Rio Mbtiles ⭐ 88

A plugin command for the Rasterio CLI that exports a raster dataset to an MBTiles 1.1 SQLite file

Building Footprint Segmentation ⭐ 86

Building footprint segmentation from satellite and aerial imagery

Earthengine ⭐ 85

Change Detection with Google Earth Engine Imagery

Change Detection In Satellite Imagery ⭐ 83

It employes Principal Component Analysis (PCA) and K-means clustering techniques over difference image to detect changes in multi temporal images satellite imagery.

A collection of Machine Learning Tools for object detection and classification on DG imagery.

Wenet ("The Swift One") - Transmit and Receive code for the Project Horus High-Speed Imagery Payload.

Rio Rgbify ⭐ 72

Encoded arbitrary bit depth rasters in pseudo base-256

Game Feature Learning ⭐ 65

Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery, CVPR'18

MDCS is an acronym for Mosaic Dataset Configuration Script and is the entry point to a collection of Python classes/libraries that could be consumed by a Python client application to complete a given workflow for creating a mosaic dataset, populating it with data, and setting all required/desired parameters.

Earthmapper ⭐ 59

Pipeline for the Semantic Segmentation (i.e., classification) of Remote Sensing Imagery

Neontreeevaluation ⭐ 59

Benchmark dataset for tree detection for airborne RGB, Hyperspectral and LIDAR imagery

tools for InSAR processing on AWS

Rio Mucho ⭐ 54

Parallel processing wrapper for rasterio

Deepglobe_land_cover_classification_with_deeplabv3plus ⭐ 51

DeepGlobe Land Cover Classification Challenge

Rio Glui ⭐ 50

Explore CloudOptimized geotiff on your browser using Mapbox GL JS

Siamese Neural Network For Change Detection ⭐ 49

This repository contains the python code for a Siamese neural network to detect changes in aerial images using Tensorflow.

A visualization application for satellite imagery

Embarrassingly Parallel Image Classification ⭐ 44

Walkthrough demonstrating how trained DNNs (CNTK and TensorFlow) can be applied to massive image sets in ADLS using PySpark on Azure HDInsight clusters

Glmtools ⭐ 41

GOES-R Geostationary Lightning Mapper Tools

Eeg Adapt ⭐ 39

Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".

Ieee_tgrs_mdl Rs ⭐ 37

Danfeng Hong, Lianru Gao, Naoto Yokoya, Jing Yao, Jocelyn Chanussot, Qian Du, Bing Zhang. More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification, IEEE TGRS, 2021, 59(5): 4340-4354.

Ergo Planes Detector ⭐ 37

🧠✈️ An ergo based project that relies on a convolutional neural network to detect airplanes from satellite imagery.

PyTrx is a Python object-oriented programme created for the purpose of calculating real-world measurements from oblique images and time-lapse image series. Its primary purpose is to obtain velocities, surface areas, and distances from oblique, optical imagery of glacial environments.

Nasa Api ⭐ 36

A python package that allows easy access to NASA's data APIs

Rio Cloudmask ⭐ 36

Rasterio plugin for identifying clouds in multi-spectral satellite imagery

Neurotechx Mcgill 2019 ⭐ 36

A wheelchair controlled by EEG brain signals and enhanced with assisted driving

Unstructured Change Detection Using Cnn ⭐ 34

Unstructured Change detection in satellite imagery

Sea_ice_drift ⭐ 34

Sea ice drift from Sentinel-1 SAR imagery using open source feature tracking

Pybay2017 ⭐ 34

Python Tools for processing Space Imagery

Sat Download ⭐ 33

[DEPRECATED] Used by landsat-util for downloading landsat and sentinel-2 data

Satellite Image Retrieval ⭐ 32

CS 513 project3

Python based GUI for Satellite Derived Bathymetry processing

Velocity ⭐ 32

Structure From Motion (SFM) for vehicle speed

Multi3net ⭐ 32

Multi3Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery

Panoramic Depth Estimation ⭐ 32

Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery

Random Street View ⭐ 31

Street View images from random locations in a given country

Python library for standardising satellite imagery into an Analysis Ready Data (ARD) form

USSOCOM Urband 3D mapper Marathon Match

Naip Cogeo Mosaic ⭐ 30

Serverless high-resolution aerial imagery map tiles from Cloud-Optimized GeoTIFFs for the U.S.

Bcidatasetiv2a ⭐ 30

This is a repository for BCI Competition 2008 dataset IV 2a fixed and optimized for python and numpy. This dataset is related with motor imagery

Awesome Deep Learning Of Remote Sensing ⭐ 30

Awesome Deep Learning of Remote Sensing

Leveraging Crowdsourced Gps Data For Road Extraction From Aerial Imagery ⭐ 29

The source code of CVPR 2019 paper "Leveraging Crowdsourced GPS Data for Road Extraction from Aerial Imagery"

Imagery_utils ⭐ 29

Cropdetectiondl ⭐ 29

Pylandsat ⭐ 28

Search, download, and preprocess Landsat imagery 🛰️

Fire Detection Uav Aerial Image Classification Segmentation Unmannedaerialvehicle ⭐ 27

Aerial Imagery dataset for fire detection: classification and segmentation (Unmanned Aerial Vehicle (UAV))

Drone Images Mosaicing ⭐ 27

This project contains the code written from scratch to generate mosaics out of drone imagery. This code can also be used for panorama generation.

Research ⭐ 26

Motor Imagery Classification based on EEG at Columbia Medical Center

Semantic Segmentation for Aerial Imagery using Convolutional Neural Network

Data reader utilities for machine learning on satellite imagery and Earth science data

Attention Graph Convolution Network For Image Segmentation In Big Sar Imagery Data ⭐ 25

the code of paper "Attention Graph Convolution Network for Image Segmentation in Big SAR Imagery Data"

Chip N Scale Queue Arranger ⭐ 25

Chip 'n scale: Queue Arranger helps you run machine learning models over satellite imagery at scale

Software to automate the production of optical analysis ready data (ARD) from Landsat, Sentinel-2 and others.

Synthinel ⭐ 24

Repository for Synthinel dataset. It is presented in WACV 2020

Raster Tiles Compactcache ⭐ 24

Compact Cache V2 is used by ArcGIS to store raster tiles. The bundle file structure is very simple and optimized for quick access, resulting in improved performance over alternative formats.

Eegmotorimagery ⭐ 24

EEG motor imagery classification using convolutional neural networks

Planesnet Detector ⭐ 23

Detect airplanes in Planet imagery using machine learning

Deep Transfer Learning Crop Prediction ⭐ 23

Deep transfer learning techniques for crop yield prediction, published in COMPASS 2018. Best Presentation Winner.

Self Supervision For Segmenting Overhead Imagery ⭐ 23

[BMVC 2018] Self-supervised Feature Learning for Semantic Segmentation of Overhead Imagery.

Deepsentinel ⭐ 23

DeepSentinel: a sentinel-1 and -2 self-supervised sensor fusion model for general purpose semantic embedding

An outdoor environment simulator with real-world imagery for Deep Reinforcement Learning on navigation tasks.

Slack app to upload shared images to Imgur to save space and share easily

Stac Client Python ⭐ 21

The metadata and download client for accessing Near Space Labs imagery

Open Ai Caribbean ⭐ 21

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