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Otgonbaatar, Soronzonbold and Datcu, Mihai (2020) Quantum Annealing Approach: Feature Extraction and Segmentation of Synthetic Aperture Radar Image. In: 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020, pp. 1-4. IGARSS 2020, 2020-09-26 - 2020-10-02, Virtual. doi: 10.1109/igarss39084.2020.9323504. ISBN 978-172816374-1. ISSN 2153-6996.
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Official URL: https://igarss2020.org/view_paper.php?PaperNum=2914
Abstract
The Markov Random Field (MRF) is used for extracting feature information in images and is formed as an Ising-like model. The quantum annealing is a novel method to optimize objective functions, and objective functions have to be expressed in terms of the Ising model. Hence, the MRF can be embedded into the the quantum annealing method, and feature information of remote sensing images then can be extracted using a quantum annealing computer. Extracted information or features are used to segment an image.
| Item URL in elib: | https://elib.dlr.de/138196/ | ||||||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||||||
| Title: | Quantum Annealing Approach: Feature Extraction and Segmentation of Synthetic Aperture Radar Image | ||||||||||||
| Authors: |
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| Date: | September 2020 | ||||||||||||
| Journal or Publication Title: | 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 | ||||||||||||
| Refereed publication: | Yes | ||||||||||||
| Open Access: | No | ||||||||||||
| Gold Open Access: | No | ||||||||||||
| In SCOPUS: | Yes | ||||||||||||
| In ISI Web of Science: | Yes | ||||||||||||
| DOI: | 10.1109/igarss39084.2020.9323504 | ||||||||||||
| Page Range: | pp. 1-4 | ||||||||||||
| ISSN: | 2153-6996 | ||||||||||||
| ISBN: | 978-172816374-1 | ||||||||||||
| Status: | Published | ||||||||||||
| Keywords: | texture segmentation, auto-binomial, dwave, quantum annealing, QUBO | ||||||||||||
| Event Title: | IGARSS 2020 | ||||||||||||
| Event Location: | Virtual | ||||||||||||
| Event Type: | international Conference | ||||||||||||
| Event Start Date: | 26 September 2020 | ||||||||||||
| Event End Date: | 2 October 2020 | ||||||||||||
| 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 - Vorhaben hochauflösende Fernerkundungsverfahren (old) | ||||||||||||
| Location: | Oberpfaffenhofen | ||||||||||||
| Institutes and Institutions: | Remote Sensing Technology Institute > EO Data Science | ||||||||||||
| Deposited By: | Karmakar, Chandrabali | ||||||||||||
| Deposited On: | 25 Nov 2020 17:26 | ||||||||||||
| Last Modified: | 07 Jun 2024 09:50 |
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