zhu-xlab Goto Github PK
Name: Zhu Lab
Type: Organization
Bio: Data Science in Earth Observation
Location: Munich, Germany
Name: Zhu Lab
Type: Organization
Bio: Data Science in Earth Observation
Location: Munich, Germany
Mou and Zhu, Spatiotemporal Scene Interpretation of Space Videos via Deep Neural Network And Tracklet Analysis, 2016 IEEE GRSS Data Fusion Contest.
Mou et al., A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes, CVPR 2019, accepted.
This is official code of "AdaptMatch: Adaptive Matching for Semisupervised Binary Segmentation of Remote Sensing Images," IEEE-TGRS, 2023
Official implementation of TGRS paper - AIO2: Online Correction of Object Labels for Deep Learning with Incomplete Annotation in Remote Sensing Image Segmentation
Kang et al., Building instance classification using street view images, ISPRS Journal of Photogrammetry and Remote Sensing, 145, 44-59, 2018.
Data used in the paper "Biomass Estimation and Uncertainty Quantification from Tree Height".
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.
Charting Outlines by Recurrent Adaptation – A Deep Contour Detector developed for Charting Greenland's Glacier Calving Fronts.
DeCUR: decoupling common and unique representations for multimodal self-supervised learning.
Mou et al., Deep Recurrent Neural Networks for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, 55(7), 3639-3655, 2017.
Self-supervised vision transformers for joint SAR-optical representation learning
Code for Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities
Contains code and other material related to the DSen2-CR network for de-clouding Sentinel-2 images.
A Dataset and Deep Learning Benchmark for Event Recognition in Aerial Videos
Feature guided masked Autoencoder for self-supervised learning in remote sensing
Code for Water Research paper "Large-scale flood modeling and forecasting with FloodCast"
Repository containing the code and results of experiments to estimate glacier ice thickness with a PINN.
Simultaneous Semantic Segmentation and Edge Detection
Official Implementation of submitted TGRS paper "HTC-DC Net: A Network for Monocular Height Estimation from Single Remote Sensing Images"
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.
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