Guha, Sanhita and Datcu, Mihai and Ender, Joachim (2022) SAR Super-Resolution Using Physics-Aware Adaptive Compressed Sensing. In: International Geoscience and Remote Sensing Symposium (IGARSS), pp. 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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Official URL: https://ieeexplore.ieee.org/document/9884535
Abstract
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.
| Item URL in elib: | https://elib.dlr.de/193334/ | ||||||||||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||
| Title: | SAR Super-Resolution Using Physics-Aware Adaptive Compressed Sensing | ||||||||||||||||
| Authors: |
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| Date: | 2022 | ||||||||||||||||
| 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/IGARSS46834.2022.9884535 | ||||||||||||||||
| Page Range: | pp. 52-55 | ||||||||||||||||
| Publisher: | IEEE - Institute of Electrical and Electronics Engineers | ||||||||||||||||
| Status: | Published | ||||||||||||||||
| Keywords: | ISTA, Learned ISTA, Approximated Observation, SAR Super-resolution,High resolution radar, Algorithm Unrolling, Hybrid Approaches to Super-resolution | ||||||||||||||||
| Event Title: | IGARSS 2022 | ||||||||||||||||
| Event Location: | Kuala Lumpur, Malaysia | ||||||||||||||||
| Event Type: | international Conference | ||||||||||||||||
| Event Start Date: | 17 July 2022 | ||||||||||||||||
| Event End Date: | 22 July 2022 | ||||||||||||||||
| 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: | Haschberger, Dr.-Ing. Peter | ||||||||||||||||
| Deposited On: | 16 Jan 2023 08:53 | ||||||||||||||||
| Last Modified: | 24 Apr 2024 20:54 |
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