Statistics for topic remote-sensing

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.

Techniques for deep learning with satellite & aerial imagery

A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery

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

Expandable Datasets for Earth Observation

Small-Object Detection in Remote Sensing (satellite) Images with End-to-End Edge-Enhanced GAN and Object Detector Network

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

Yet another repository for developing and benchmarking deep learning-based change detection methods.

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

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.

Long list of geospatial tools and resources

Code and data for Kuro Siwo flood mapping dataset

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

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

Open-source research software for InSAR time series analysis

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

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

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.

Long list of geospatial tools and resources

Open-source research software for InSAR time series analysis

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

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

Code and data for Kuro Siwo flood mapping dataset

A Survey on Vision-Language Geo-Foundation Models (VLGFMs)

[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"

Expandable Datasets for Earth Observation

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.

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

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

Code and experiments for the paper, "A Change Detection Reality Check", Corley et al.