Statistics for topic satellite-imagery
RepositoryStats tracks 584,796 Github repositories, of these 143 are tagged with the satellite-imagery topic. The most common primary language for repositories using this topic is Python (64). Other languages include: Jupyter Notebook (33), JavaScript (12)
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Techniques for deep learning with satellite & aerial imagery
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
Open-source satellite tracker and pass predictor for Android, inspired by Gpredict
Datasets for deep learning with satellite & aerial imagery
A python toolbox for easily searching, downloading & processing remote sensing imagery from various public sources. Includes a Sentinel-1 InSAR processor.
Open-source satellite tracker and pass predictor for Android, inspired by Gpredict
[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection
The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
Techniques for deep learning with satellite & aerial imagery
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
Open-source satellite tracker and pass predictor for Android, inspired by Gpredict
Datasets for deep learning with satellite & aerial imagery
A python toolbox for easily searching, downloading & processing remote sensing imagery from various public sources. Includes a Sentinel-1 InSAR processor.
Open-source satellite tracker and pass predictor for Android, inspired by Gpredict
Search, composite, and download Google Earth Engine imagery.
Datasets for deep learning with satellite & aerial imagery
Techniques for deep learning with satellite & aerial imagery
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Datasets for deep learning with satellite & aerial imagery
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
Open-source satellite tracker and pass predictor for Android, inspired by Gpredict
A python toolbox for easily searching, downloading & processing remote sensing imagery from various public sources. Includes a Sentinel-1 InSAR processor.
[RA-L 2024] Official repository for "STHN: Deep Homography Estimation for UAV Thermal Geo-localization with Satellite Imagery"
Esri World Imagery Wayback App - Explore, compare and start using all different versions of World Imagery Basemap released since 2014
Quick start guide for benchmarking MagicBathyNet dataset in learning-based bathymetry and pixel-based classification using Remote Sensing imagery.
Open-source code for the paper "Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene Classification"
A PyTorch implementation of "GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis"
Official PyTorch implementation and benchmark dataset for IGARSS 2024 ORAL paper: "Composed Image Retrieval for Remote Sensing"
Open-source code for the paper "Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene Classification"
[IGARSS 2024] Segment Change Model (SCM) for Unsupervised Change detection in VHR Remote Sensing Images: a Case Study of Buildings
Techniques for deep learning with satellite & aerial imagery
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Datasets for deep learning with satellite & aerial imagery
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
Open-source satellite tracker and pass predictor for Android, inspired by Gpredict
A PyTorch implementation of "GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis"
[IGARSS 2024] Segment Change Model (SCM) for Unsupervised Change detection in VHR Remote Sensing Images: a Case Study of Buildings
Coastal Observation + Analysis using Satellite-derived Timeseries, Generated Using AI + Real-time Data
Building a Yolov8n model from scratch and performing object detection in optical remote sensing images and videos.