zhu-xlab

SSL4EO-S12

SSL4EO-S12: a large-scale dataset for self-supervised learning in Earth observation

M3R-CR

High-Resolution Cloud Removal with Multi-Modal and Multi-Resolution Data Fusion: A New Baseline and Benchmark

DOFA

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

SSL4EO-Review

Codes for the benchmark experiments in the paper "Self-supervised Learning in Remote Sensing: A Review"

UniDA

Code for TGRS paper "Universal Domain Adaptation for Remote Sensing Image Scene Classification"

augsburg_Multimodal_Data_Set_MDaS

So2Sat-LCZ42

Zhu et al., So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification, IEEE Geoscience and Remote Sensing Magazine, in press, 2020.

DINO-MM

Self-supervised vision transformers for joint SAR-optical representation learning

So2Sat-LCZ-Classification-Demo

FGMAE

Feature guided masked Autoencoder for self-supervised learning in remote sensing

ML4Earth-Hackathon-2022

ML4Earth-Hackathon-2023

ST-FSOD

UCDFormer

Code for TGRS paper "UCDFormer: Unsupervised Change Detection Using a Transformer-driven Image Translation"

DeCUR

DeCUR: decoupling common & unique representations for multimodal self-supervision.

HTC-DC-Net

Official Implementation of submitted TGRS paper "HTC-DC Net: A Network for Monocular Height Estimation from Single Remote Sensing Images"

AIO2

Official implementation of TGRS paper - AIO2: Online Correction of Object Labels for Deep Learning with Incomplete Annotation in Remote Sensing Image Segmentation

So2Sat-BuildingType

A large-scale dataset for building type classification using social media and aerial data

So2Sat-POP-DL

PFST

Official implementation of TGRS paper: "Pseudo Features Guided Self-training for Domain Adaptive Semantic Segmentation of Satellite Images"

Floodcast

BiomassUQ

Data used in the paper "Biomass Estimation and Uncertainty Quantification from Tree Height".

LULC_MSI_QCNN

Land Cover Classification from Sentinel-2 Images with Quantum-Classical Convolutional Neural Networks (FQCNN and MQCNN)

AdaptMatch

This is official code of "AdaptMatch: Adaptive Matching for Semisupervised Binary Segmentation of Remote Sensing Images," IEEE-TGRS, 2023

UTB_codes

Nationwide urban tree canopy mapping and coverage assessment in Brazil

Adaptive-Morphology-Filter

Cross-cityDTL

LRMixer

We propose an efficient post-upsampling architecture, i.e., LRMixer, which aims at yielding a high-resolution HS image on limited hardware resources.

ssl4eol_pretrained_models

Pre-trained Vits on SSL4EO-L

ssl4eol_pretrained_models-1

Pre-trained Vits on SSL4EO-L