Statistics for topic remote-sensing

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.

List of datasets, codes, and contests related to remote sensing change detection

A python toolbox for easily searching, downloading & processing remote sensing imagery from various public sources. Includes a Sentinel-1 InSAR processor.

InSAR phase linking library for PS/DS processing

[NeurIPS 2023] Fine-Grained Cross-View Geo-Localization Using a Correlation-Aware Homography Estimator

The official repo for the paper "HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model"

MintPy tutorials in Jupyter Notebook

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

GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.

InSAR phase linking library for PS/DS processing

[TIP 2022] Deep Bilateral Filtering Network for Point-Supervised Semantic Segmentation in Remote Sensing Images

Code for Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities

A python toolbox for easily searching, downloading & processing remote sensing imagery from various public sources. Includes a Sentinel-1 InSAR processor.

The official repo for the paper "HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model"

Techniques for deep learning with satellite & aerial imagery

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

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.

Long list of geospatial tools and resources

The official implementation of UNetMamba: An Efficient UNet-Like Mamba for Semantic Segmentation of High-Resolution Remote Sensing Images on PyTorch

A python toolbox for easily searching, downloading & processing remote sensing imagery from various public sources. Includes a Sentinel-1 InSAR processor.

Code for Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities

The official repo for the paper "HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model"

This repository contains code to download data for the preprint "MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning"

[CVPR 2024 🔥] GeoChat, the first grounded Large Vision Language Model for Remote Sensing

[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

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

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.

Long list of geospatial tools and resources

[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

Lexcube: 3D Data Cube Visualization in Jupyter Notebooks

[CVPR 2024 🔥] GeoChat, the first grounded Large Vision Language Model for Remote Sensing

[IGARSS 2024] Segment Change Model (SCM) for Unsupervised Change detection in VHR Remote Sensing Images: a Case Study of Buildings