Statistics for topic remote-sensing
RepositoryStats tracks 518,325 Github repositories, of these 276 are tagged with the remote-sensing topic. The most common primary language for repositories using this topic is Python (165). Other languages include: Jupyter Notebook (48), R (11)
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Techniques for deep learning with satellite & aerial imagery
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
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
A curated list of awesome vision and language resources for earth observation.
This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.
Techniques for deep learning with satellite & aerial imagery
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024
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
ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model
Search, composite, and download 'Google Earth Engine' imagery with the 'Python' module 'geedim'
Techniques for deep learning with satellite & aerial imagery
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model
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.
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
Code for Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities
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
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)
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 curated list of awesome vision and language resources for earth observation.
Using StableDiffusion and ControlNet to generate synthetic aerial images
ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model