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WUP-CD Medium Resolution (MR)

Authors: Bauer, Adrian; Oberbossel, Jens; Sander, Stefan; Kummert, Anton;

WUP-CD Medium Resolution (MR)

Abstract

This is the Medium Resolution (MR, 0.5m GSD) version of the dataset published in the IGARSS 2022 paper TOWARDS 2.5D DATA FOR DEEP LEARNING BUILDING CHANGE DETECTION. Extract the dataset (Ubuntu): sudo apt install p7zip-full 7z e WUP-CD_MR.7z.001 The corresponding source code is available on github: https://github.com/tritolol/WUP-CD If you find this dataset useful, please cite: @INPROCEEDINGS{9883863, author={Bauer, Adrian and Oberbossel, Jens and Sander, Stefan and Kummert, Anton}, booktitle={IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium}, title={WUP-CD: Towards 2.5D Data for Deep Learning Building Change Detection}, year={2022}, volume={}, number={}, pages={219-222}, keywords={Deep learning;Analytical models;Image resolution;Buildings;Data acquisition;Feature extraction;Data models;Change Detection (CD);Remote Sensing Dataset;Deep Learning;Digital Surface Model;2.5D Data}, doi={10.1109/IGARSS46834.2022.9883863}} Supported by the State of North Rhine-Westphalia, Germany

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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