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Data · dataset · 2020

Post-Disaster Building Damage Detection from Earth Observation Imagery

Listed in DANS Data Station Physical and Technical Sciences

The dataset consist of satellite and UAV imagery.

Description

The satellite imagery was derived from the xBD dataset (published by XView2 under the CC BY-NC-SA 4.0 license). The original images of size 1024x1024 were resized into different datasets of image sizes 32x32, 64x64 and 256x256.

The UAV images were derived from a variety of UAV images, collected during various UAV-missions carried out in the last decade by ITC (University of Twente). The original images of varying sizes were resized into different datasets of image sizes 64x64, 256x256 and 512x512. A full description of the folder structure and content can be found in the README.

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Post-Disaster Building Damage Detection from Earth Observation Imagery using Unsupervised and Transferable Anomaly Detecting Generative Adversarial Networks Date Submitted: 2021-05-10

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Image 75% · Satellite remote sensing 65%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
DANS Data Station Physical and Technical Sciencesdoi:10.17026/DANS-ZSU-Z2NC11 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].dataverse_subject:computer-and-information-sciencesource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/subjects
concepts[modality].local:modality:imageenrichment · phys techsciences datastations nlkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:remote-sensingenrichment · phys techsciences datastations nlkeyword-concept-rules@1.0.0title+description (65%)
created_datesource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0
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