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Guha, Sanhita und Datcu, Mihai und Ender, Joachim (2022) SAR Super-Resolution Using Physics-Aware Adaptive Compressed Sensing. In: International Geoscience and Remote Sensing Symposium (IGARSS), Seiten 52-55. IEEE - Institute of Electrical and Electronics Engineers. IGARSS 2022, 2022-07-17 - 2022-07-22, Kuala Lumpur, Malaysia. doi: 10.1109/IGARSS46834.2022.9884535.
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Offizielle URL: https://ieeexplore.ieee.org/document/9884535
Kurzfassung
The resolution requirements of modern radar applications are increasing rapidly and cannot be fulfilled by the limited number of wide-band radar systems. Many approaches have been explored to solve this problem under the topic of super-resolution. In this paper, we propose a hybrid algorithm for resolution improvement, where we aim to combine the adaptability of deep neural networks with the reliability and expertise of traditional domain-specific SAR processing.
| elib-URL des Eintrags: | https://elib.dlr.de/193334/ | ||||||||||||||||
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| Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||
| Titel: | SAR Super-Resolution Using Physics-Aware Adaptive Compressed Sensing | ||||||||||||||||
| Autoren: |
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| Datum: | 2022 | ||||||||||||||||
| Erschienen in: | International Geoscience and Remote Sensing Symposium (IGARSS) | ||||||||||||||||
| Referierte Publikation: | Ja | ||||||||||||||||
| Open Access: | Ja | ||||||||||||||||
| Gold Open Access: | Nein | ||||||||||||||||
| In SCOPUS: | Ja | ||||||||||||||||
| In ISI Web of Science: | Nein | ||||||||||||||||
| DOI: | 10.1109/IGARSS46834.2022.9884535 | ||||||||||||||||
| Seitenbereich: | Seiten 52-55 | ||||||||||||||||
| Verlag: | IEEE - Institute of Electrical and Electronics Engineers | ||||||||||||||||
| Status: | veröffentlicht | ||||||||||||||||
| Stichwörter: | ISTA, Learned ISTA, Approximated Observation, SAR Super-resolution,High resolution radar, Algorithm Unrolling, Hybrid Approaches to Super-resolution | ||||||||||||||||
| Veranstaltungstitel: | IGARSS 2022 | ||||||||||||||||
| Veranstaltungsort: | Kuala Lumpur, Malaysia | ||||||||||||||||
| Veranstaltungsart: | internationale Konferenz | ||||||||||||||||
| Veranstaltungsbeginn: | 17 Juli 2022 | ||||||||||||||||
| Veranstaltungsende: | 22 Juli 2022 | ||||||||||||||||
| HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||
| HGF - Programm: | Raumfahrt | ||||||||||||||||
| HGF - Programmthema: | Erdbeobachtung | ||||||||||||||||
| DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||
| DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||||||
| DLR - Teilgebiet (Projekt, Vorhaben): | R - Künstliche Intelligenz | ||||||||||||||||
| Standort: | Oberpfaffenhofen | ||||||||||||||||
| Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > EO Data Science | ||||||||||||||||
| Hinterlegt von: | Haschberger, Dr.-Ing. Peter | ||||||||||||||||
| Hinterlegt am: | 16 Jan 2023 08:53 | ||||||||||||||||
| Letzte Änderung: | 24 Apr 2024 20:54 |
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