Name
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. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/IGARSS46834.2022.9884535 | IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium |
Keywords | DocType | ISSN |
ISTA,Learned ISTA,Approximated Observation,SAR Super-resolution,High resolution radar,Algorithm Unrolling,Hybrid Approaches to Super-resolution | Conference | 2153-6996 |
ISBN | Citations | PageRank |
978-1-6654-2793-7 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sanhita Guha | 1 | 0 | 0.34 |
| Mihai Datcu | 2 | 893 | 111.62 |
| Joachim H. G. Ender | 3 | 428 | 50.54 |