Zhu Lab

UniDA

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

So2Sat-POP-DL

BiomassUQ

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

ssl4eol_pretrained_models-1

Pre-trained Vits on SSL4EO-L

ssl4eol_pretrained_models

Pre-trained Vits on SSL4EO-L

SoundingEarth

Self-supervised Audiovisual Representation Learning for Remote Sensing Data

So2Sat-LCZ-Classification-Demo

So2Sat-BuildingType

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

UTB_codes

Nationwide urban tree canopy mapping and coverage assessment in Brazil

SSL4EO-Review

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

Adaptive-Morphology-Filter

VQA-easy2hard

Code for paper "From easy to hard: Learning language-guided curriculum for visual question answering on remote sensing data"

augsburg_Multimodal_Data_Set_MDaS

ML4Earth-Hackathon-2022

So2Sat-POP

GlobalOBM

land_consumption

dsen2-cr

Contains code and other material related to the DSen2-CR network for de-clouding Sentinel-2 images.

SEN12MSCR

ERA-DATASET

A Dataset and Deep Learning Benchmark for Event Recognition in Aerial Videos

SEN12MS

Schmitt et al., SEN12MS – A Curated Dataset of Georeferenced Multi-spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W7, 153–160, 2019.

A-Relation-Augmented-Fully-Convolutional-Network-for-Semantic-Segmentation-in-Aerial-Scenes

Mou et al., A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes, CVPR 2019, accepted.

Busy-parking-lot-dataset---vehicle-detection-in-UAV-video

L. Mou and X. X. Zhu, "Vehicle instance segmentation from aerial image and video using a multi-task learning residual fully convolutional network," IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 11, pp. 6699-6711, 2018.

Benchmark-of-streetview-image-of-individual-building-instance

Kang et al., Building instance classification using street view images, ISPRS Journal of Photogrammetry and Remote Sensing, 145, 44-59, 2018.

Deep-Recurrent-Neural-Networks-for-Hyperspectral-Image-Classification

Mou et al., Deep Recurrent Neural Networks for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, 55(7), 3639-3655, 2017.

SARptical

Wang et al., “Fusing Meter-Resolution 4-D InSAR Point Clouds and Optical Images for Semantic Urban Infrastructure Monitoring,” IEEE Transactions on Geoscience and Remote Sensing, 55(1), 14–26, 2017.

J-SparseFI

Zhu et al., Exploiting Joint Sparsity for Pan-sharpening – the J-SparseFI Algorithm. IEEE Transactions on Geoscience and Remote Sensing 54(5), 2664-2681, 2016.

2016-IEEE-Data-fusion-context

Mou and Zhu, Spatiotemporal Scene Interpretation of Space Videos via Deep Neural Network And Tracklet Analysis, 2016 IEEE GRSS Data Fusion Contest.