Trending repositories for topic remote-sensing
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.
Techniques for deep learning with satellite & aerial imagery
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Official PyTorch implementation and benchmark dataset for IGARSS 2024 ORAL paper: "Composed Image Retrieval for Remote Sensing"
A collection of Python packages for geospatial analysis with binder-ready notebook examples
List of datasets, codes, and contests related to remote sensing change detection
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
A curated list of awesome vision and language resources for earth observation.
[CVPR 2024 🔥] GeoChat, the first grounded Large Vision Language Model for Remote Sensing
A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.
[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024
L. Sun, G. Zhao, Y. Zheng, and Z. Wu. "Spectral–Spatial Feature Tokenization Transformer for Hyperspectral Image Classification," in IEEE TGRS, 2022.
Building detection from the SpaceNet dataset by using Mask RCNN.
Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.
Official PyTorch implementation and benchmark dataset for IGARSS 2024 ORAL paper: "Composed Image Retrieval for Remote Sensing"
Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024
A curated list of awesome vision and language resources for earth observation.
L. Sun, G. Zhao, Y. Zheng, and Z. Wu. "Spectral–Spatial Feature Tokenization Transformer for Hyperspectral Image Classification," in IEEE TGRS, 2022.
[CVPR 2024 🔥] GeoChat, the first grounded Large Vision Language Model for Remote Sensing
A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.
[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection
Building detection from the SpaceNet dataset by using Mask RCNN.
A collection of Python packages for geospatial analysis with binder-ready notebook examples
Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.
A keras based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
PyGMTSAR (Python InSAR): Powerful and Accessible Satellite Interferometry
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
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
Official PyTorch implementation and benchmark dataset for IGARSS 2024 ORAL paper: "Composed Image Retrieval for Remote Sensing"
Techniques for deep learning with satellite & aerial imagery
GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
The official repo for "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"
List of datasets, codes, and contests related to remote sensing change detection
Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024
[CVPR 2024 🔥] GeoChat, the first grounded Large Vision Language Model for Remote Sensing
PyGMTSAR (Python InSAR): Powerful and Accessible Satellite Interferometry
[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection
Datasets for deep learning with satellite & aerial imagery
The official repo for [IJCAI'24] "LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation"
ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
A collection of Python packages for geospatial analysis with binder-ready notebook examples
The official repo for [IJCAI'24] "LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation"
Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024
The official repo for "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"
It contains Google Earth Engine codes (JavaScript API) to process Sentinel-1 and Landsat 8 images to compute SAR and optical vegetation indices.
Code for Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities
L. Sun, G. Zhao, Y. Zheng, and Z. Wu. "Spectral–Spatial Feature Tokenization Transformer for Hyperspectral Image Classification," in IEEE TGRS, 2022.
Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks
ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model
[CVPR 2024 🔥] GeoChat, the first grounded Large Vision Language Model for Remote Sensing
A curated list of awesome vision and language resources for earth observation.
PyGMTSAR (Python InSAR): Powerful and Accessible Satellite Interferometry
[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection
🛰️ Official repository of paper "RemoteCLIP: A Vision Language Foundation Model for Remote Sensing" (IEEE TGRS)
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Datasets for deep learning with satellite & aerial imagery
A keras based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".
Techniques for deep learning with satellite & aerial imagery
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.
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model
Official PyTorch implementation and benchmark dataset for IGARSS 2024 ORAL paper: "Composed Image Retrieval for Remote Sensing"
[CVPR 2024 🔥] GeoChat, the first grounded Large Vision Language Model for Remote Sensing
The official repo for [IJCAI'24] "LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation"
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
List of datasets, codes, and contests related to remote sensing change detection
Datasets for deep learning with satellite & aerial imagery
Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024
PyGMTSAR (Python InSAR): Powerful and Accessible Satellite Interferometry
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
The official repo for "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"
This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.
🛰️ Official repository of paper "RemoteCLIP: A Vision Language Foundation Model for Remote Sensing" (IEEE TGRS)
Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024
ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model
The official repo for "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"
[CVPR 2024 🔥] GeoChat, the first grounded Large Vision Language Model for Remote Sensing
Remote Sensing Sar-Optical Land-use Classfication Pytorch Pytorch高分辨率遥感语义分割/地物分割/地物分类
Building a Yolov8n model from scratch and performing object detection in optical remote sensing images and videos.
Code for Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities
🛰️ Official repository of paper "RemoteCLIP: A Vision Language Foundation Model for Remote Sensing" (IEEE TGRS)
PyGMTSAR (Python InSAR): Powerful and Accessible Satellite Interferometry
This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.
A curated list of awesome vision and language resources for earth observation.
Language-aware Domain Generalization Network for Cross-Scene Hyperspectral Image Classification, IEEE TGRS, 2023.
The semantic segmentation of remote sensing images
A curated list of awesome resources for generic object detection in aerial images.
A collection of some awesome public object detection and recognition datasets.
L. Sun, G. Zhao, Y. Zheng, and Z. Wu. "Spectral–Spatial Feature Tokenization Transformer for Hyperspectral Image Classification," in IEEE TGRS, 2022.
[CVPR 2024 🔥] GeoChat, the first grounded Large Vision Language Model for Remote Sensing
This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.
ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model
🛰️ Official repository of paper "RemoteCLIP: A Vision Language Foundation Model for Remote Sensing" (IEEE TGRS)
A curated list of awesome vision and language resources for earth observation.
The official repo for "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"
Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024
Scalable Multi-Temporal Remote Sensing Change Data Generation via Simulating Stochastic Change Process (ICCV 2023)
Code for Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities
[NeurIPS 2023] Fine-Grained Cross-View Geo-Localization Using a Correlation-Aware Homography Estimator
Code and experiments for the paper, "A Change Detection Reality Check", Corley et al.
Official PyTorch implementation and benchmark dataset for IGARSS 2024 ORAL paper: "Composed Image Retrieval for Remote Sensing"
[IGARSS 2024] Segment Change Model (SCM) for Unsupervised Change detection in VHR Remote Sensing Images: a Case Study of Buildings
The official repo for [IJCAI'24] "LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation"
Techniques for deep learning with satellite & aerial imagery
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.
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
List of datasets, codes, and contests related to remote sensing change detection
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
Datasets for deep learning with satellite & aerial imagery
[CVPR 2024 🔥] GeoChat, the first grounded Large Vision Language Model for Remote Sensing
This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.
ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model
🛰️ Official repository of paper "RemoteCLIP: A Vision Language Foundation Model for Remote Sensing" (IEEE TGRS)
Community Datasets added by users and made available for use at large
:globe_with_meridians: List & Map of 700+ companies for geospatial jobs (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
The official repo for [NeurIPS'23] "SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model"
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
A curated list of awesome vision and language resources for earth observation.
ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model
Using StableDiffusion and ControlNet to generate synthetic aerial images
[CVPR 2024 🔥] GeoChat, the first grounded Large Vision Language Model for Remote Sensing
Code for Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities
[IGARSS 2024] Segment Change Model (SCM) for Unsupervised Change detection in VHR Remote Sensing Images: a Case Study of Buildings
Scalable Multi-Temporal Remote Sensing Change Data Generation via Simulating Stochastic Change Process (ICCV 2023)
Code and experiments for the paper, "A Change Detection Reality Check", Corley et al.
The official repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining"
The official repo for [NeurIPS'23] "SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model"
A scalable implimentation of HANTS for time sereis reconstruction in remote sensing on Google Earth Engine platform
Language-aware Domain Generalization Network for Cross-Scene Hyperspectral Image Classification, IEEE TGRS, 2023.
Building Extraction from remote sensing image using Vision Transformer, IEEE Transactions on Geoscience and Remote Sensing, 2022
[TIP 2023] The official repo for the paper "DCN-T: Dual Context Network with Transformer for Hyperspectral Image Classification".