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awesome-weakly-supervised-semantic-segmentation

A comprehensive list of weakly supervised semantic segmentation (WSSS) works from 2014 to 2022.

bibnet-jstars-2021

Code for our JSTARS paper: "Urban Functional Zone Mapping With a Bibranch Neural Network via Fusing Remote Sensing and Social Sensing Data".

change-detection-review

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

changedetectionrepository

This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, such as SiamCRNN, DSFA, and some FCN-based methods.

clip

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

development-measure

The official implementation of 'A human-machine collaborative approach measures economic development using satellite imagery'.

drl-urban-planning

A deep reinforcement learning (DRL) based approach for spatial layout of land use and roads in urban communities.

fusionmixer-tgrs-2022

Code for TGRS 2022 paper "Multilevel Spatial-Channel Feature Fusion Network for Urban Village Classification by Fusing Satellite and Streetview Images"

geetools-code-editor

A set of tools to use in Google Earth Engine Code Editor (JavaScript)

globalmlbuildingfootprints

Worldwide building footprints derived from satellite imagery

improved-diffusion

Release for Improved Denoising Diffusion Probabilistic Models

missing_aware_prompts

Multimodal Prompting with Missing Modalities for Visual Recognition, CVPR'23

openspaceglobal

Code for OpenspaceGlobal: the first urban open space product of global 169 megacities

pytorch_geometric

Graph Neural Network Library for PyTorch

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

semantic-segmentation

SOTA Semantic Segmentation Models in PyTorch

semi-mcnn-jstars-2020

Code for our JSTARS paper "Semi-MCNN: A semisupervised multi-CNN ensemble learning method for urban land cover classification using submeter HRRS images"

space2vec

Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao. Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells, In: Proceedings of ICLR 2020, Apr. 26 - 30, 2020, Addis Ababa, ETHIOPIA .

stnet

Code for JAG 2022 paper "Urban informal settlements classification via a transformer-based spatial-temporal fusion network using multimodal remote sensing and time-series human activity data"

sustainbench

uisnet-tgrs-2022

Code for TGRS 2022 paper "Fine-scale Urban Informal Settlements Mapping by Fusing Remote Sensing Images and Building Data via a Transformer-based Multimodal Fusion Network"

uisyangtze

UisYangtze Dateset

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

vmamba

VMamba: Visual State Space Models，code is based on mamba