Data on Demand: Automatic Generation of Customized Datasets for the Training of Building Detection in Remote Sensing Imagery-Reference-Cited by-同舟云学术

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Data on Demand: Automatic Generation of Customized Datasets for the Training of Building Detection in Remote Sensing Imagery

Published:2024-07-07 Issue: Volume: Page:254-257
ISSN:
Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Huang Hai¹,Hild Kevin¹,Wang Yixuan²,Körner Marco³,Mayer Helmut¹

Affiliation:

1. Universität der Bundeswehr München,Institute for Applied Computer Science,Neubiberg,Germany

2. Technical University of Munich,Professorship Land Surface-Atmosphere Interactions,Munich,Germany

3. Technical University of Munich,Chair of Remote Sensing Technology,Munich,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642610.pdf?arnumber=10642610

Reference7 articles.

1. Urban Building Classification (UBC) – A Dataset for Individual Building Detection and Classification from Satellite Imagery

2. OGC City Geography Markup Language (CityGML) Encoding Standard

3. TorontoCity: Seeing the World with a Million Eyes

4. Can semantic labeling methods generalize to any city? the inria aerial image labeling benchmark

5. SpaceNet: A remote sensing dataset and challenge series;Van Etten,2018

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