Statistics for topic remote-sensing
RepositoryStats tracks 611,009 Github repositories, of these 343 are tagged with the remote-sensing topic. The most common primary language for repositories using this topic is Python (203). Other languages include: Jupyter Notebook (61), R (12), JavaScript (11)
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GeoPixel: A Pixel Grounding Large Multimodal Model for Remote Sensing is specifically developed for high-resolution remote sensing image analysis, offering advanced multi-target pixel grounding capabi...
This repository provides a comprehensive list of radar and optical satellite datasets curated for ship detection, classification, semantic segmentation, and instance segmentation tasks. These datasets...
GeoPixel: A Pixel Grounding Large Multimodal Model for Remote Sensing is specifically developed for high-resolution remote sensing image analysis, offering advanced multi-target pixel grounding capabi...
This repository provides a comprehensive list of radar and optical satellite datasets curated for ship detection, classification, semantic segmentation, and instance segmentation tasks. These datasets...
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
Techniques for deep learning with satellite & aerial imagery
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
GeoPixel: A Pixel Grounding Large Multimodal Model for Remote Sensing is specifically developed for high-resolution remote sensing image analysis, offering advanced multi-target pixel grounding capabi...
Datasets for deep learning with satellite & aerial imagery
GeoPixel: A Pixel Grounding Large Multimodal Model for Remote Sensing is specifically developed for high-resolution remote sensing image analysis, offering advanced multi-target pixel grounding capabi...
Official implementation of the WACV 2025 paper "Pix2Poly: A Sequence Prediction Method for End-to-end Polygonal Building Footprint Extraction from Remote Sensing Imagery".
[IEEE GRSL] The official implementation of UNetMamba: An Efficient UNet-Like Mamba for Semantic Segmentation of High-Resolution Remote Sensing Images on PyTorch
A collection of some awesome public object detection and recognition datasets.
OpenAthena allows common drones to spot precise geodetic locations
Offical implementation of "Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection"
GeoPixel: A Pixel Grounding Large Multimodal Model for Remote Sensing is specifically developed for high-resolution remote sensing image analysis, offering advanced multi-target pixel grounding capabi...
Techniques for deep learning with satellite & aerial imagery
[IEEE GRSS DFC 2025 Track II] BRIGHT: A globally distributed multimodal VHR dataset for all-weather disaster response
GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Offical implementation of "Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection"
🦕 [AAAI'25] Official Code for “Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community"
A python class for enhancing the spatial resolution of satellite-derived Land Surface Temperatures (LST) using statistical downscaling.
Using Deep Learning and satellite imagery to detect Urban Heat Island (UHI) effects
Official implementation of the paper 'Exploring Robust Features for Few-Shot Object Detection in Satellite Imagery'
[IEEE TGRS 2024] ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model
Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis
The official repo for [JSTARS'24] "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"
The official repo for the paper "HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model"
Techniques for deep learning with satellite & aerial imagery
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
[IEEE TGRS 2024] ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model
Code for Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities
Code and experiments for the paper, "A Change Detection Reality Check", Corley et al.
Offical implementation of "Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection"