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Mohammadi, Reza and Datcu, Mihai (2021) Earth Observation Image Semantics: Latent Dirichlet Allocation Based Information Discovery. In: International Geoscience and Remote Sensing Symposium (IGARSS), pp. 2620-2623. Institute of Electrical and Electronics Engineers. IGARSS 2021, 2021-07-11 - 2021-07-16, Brussels, Belgium. doi: 10.1109/IGARSS47720.2021.9553122. ISBN 978-1-6654-0369-6. ISSN 2153-7003.
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Official URL: https://ieeexplore.ieee.org/document/9553122
Abstract
Land cover maps are among the most important products of Remote Sensing (RS) imagery. Despite remarkable advancements in land cover classification techniques, abundant detailed information in the very high-resolution RS images necessitates further improvements to harness the data and discover detailed semantic information. Moreover, scarcity of the labelled data and its quality is a major limitation in RS land cover mapping. In the present study, Latent Dirichlet Allocation is employed for semantic discovery in RS images and a novel kernel-based Bag of Visual Words model is proposed for land cover mapping.
| Item URL in elib: | https://elib.dlr.de/144966/ | ||||||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||||||
| Title: | Earth Observation Image Semantics: Latent Dirichlet Allocation Based Information Discovery | ||||||||||||
| Authors: |
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| Date: | July 2021 | ||||||||||||
| Journal or Publication Title: | International Geoscience and Remote Sensing Symposium (IGARSS) | ||||||||||||
| Refereed publication: | Yes | ||||||||||||
| Open Access: | Yes | ||||||||||||
| Gold Open Access: | No | ||||||||||||
| In SCOPUS: | Yes | ||||||||||||
| In ISI Web of Science: | No | ||||||||||||
| DOI: | 10.1109/IGARSS47720.2021.9553122 | ||||||||||||
| Page Range: | pp. 2620-2623 | ||||||||||||
| Publisher: | Institute of Electrical and Electronics Engineers | ||||||||||||
| ISSN: | 2153-7003 | ||||||||||||
| ISBN: | 978-1-6654-0369-6 | ||||||||||||
| Status: | Published | ||||||||||||
| Keywords: | Latent Dirichlet Allocation, Semantic Discovery, Bag of Visual Words, Topic Modeling, Classification | ||||||||||||
| Event Title: | IGARSS 2021 | ||||||||||||
| Event Location: | Brussels, Belgium | ||||||||||||
| Event Type: | international Conference | ||||||||||||
| Event Start Date: | 11 July 2021 | ||||||||||||
| Event End Date: | 16 July 2021 | ||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||
| HGF - Program: | Space | ||||||||||||
| HGF - Program Themes: | Earth Observation | ||||||||||||
| DLR - Research area: | Raumfahrt | ||||||||||||
| DLR - Program: | R EO - Earth Observation | ||||||||||||
| DLR - Research theme (Project): | R - Artificial Intelligence | ||||||||||||
| Location: | Oberpfaffenhofen | ||||||||||||
| Institutes and Institutions: | Remote Sensing Technology Institute > EO Data Science | ||||||||||||
| Deposited By: | Otgonbaatar, Soronzonbold | ||||||||||||
| Deposited On: | 18 Nov 2021 12:32 | ||||||||||||
| Last Modified: | 24 Apr 2024 20:44 |
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