Performance Boundaries and Tradeoffs in Super-Resolution Imaging Technologies for Space Targets
Inverse synthetic aperture radar (ISAR) super-resolution imaging technology is widely applied in space target imaging. However, the performance limits of super-resolution imaging algorithms remain largely unexplored. Our work addresses this gap by deriving mathematical expressions for the upper and...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/17/4/696 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850231426406940672 |
|---|---|
| author | Xiaole He Ping Liu Junling Wang |
| author_facet | Xiaole He Ping Liu Junling Wang |
| author_sort | Xiaole He |
| collection | DOAJ |
| description | Inverse synthetic aperture radar (ISAR) super-resolution imaging technology is widely applied in space target imaging. However, the performance limits of super-resolution imaging algorithms remain largely unexplored. Our work addresses this gap by deriving mathematical expressions for the upper and lower bounds of cross-range resolution in ISAR imaging based on the computational resolution limit (CRL) theory for line spectrum reconstruction. Leveraging these explicit expressions, we first explore influencing factors of these bounds, including the traditional Rayleigh limit, number of scatterers, and peak signal-to-noise ratio (PSNR) of the scatterers. Then, we elucidate the minimum resource requirements in ISAR imaging imposed by CRL theory to meet the desired cross-range resolution, without which studying super-resolution algorithms becomes unnecessary in practice. Furthermore, we analyze the tradeoffs between the cumulative rotation angle, radar transmit energy, and other factors that contribute to optimizing the resolution. Simulations are conducted to demonstrate these tradeoffs across various ISAR imaging scenarios, revealing their high dependence on specific imaging targets. |
| format | Article |
| id | doaj-art-61b33acc0bc640668a4dadb9cbcf3cd4 |
| institution | OA Journals |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-61b33acc0bc640668a4dadb9cbcf3cd42025-08-20T02:03:32ZengMDPI AGRemote Sensing2072-42922025-02-0117469610.3390/rs17040696Performance Boundaries and Tradeoffs in Super-Resolution Imaging Technologies for Space TargetsXiaole He0Ping Liu1Junling Wang2School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Mathematical Sciences, Zhejiang University, Hangzhou 310027, ChinaSchool of Information and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaInverse synthetic aperture radar (ISAR) super-resolution imaging technology is widely applied in space target imaging. However, the performance limits of super-resolution imaging algorithms remain largely unexplored. Our work addresses this gap by deriving mathematical expressions for the upper and lower bounds of cross-range resolution in ISAR imaging based on the computational resolution limit (CRL) theory for line spectrum reconstruction. Leveraging these explicit expressions, we first explore influencing factors of these bounds, including the traditional Rayleigh limit, number of scatterers, and peak signal-to-noise ratio (PSNR) of the scatterers. Then, we elucidate the minimum resource requirements in ISAR imaging imposed by CRL theory to meet the desired cross-range resolution, without which studying super-resolution algorithms becomes unnecessary in practice. Furthermore, we analyze the tradeoffs between the cumulative rotation angle, radar transmit energy, and other factors that contribute to optimizing the resolution. Simulations are conducted to demonstrate these tradeoffs across various ISAR imaging scenarios, revealing their high dependence on specific imaging targets.https://www.mdpi.com/2072-4292/17/4/696inverse synthetic aperture radar (ISAR)Rayleigh limitsuper-resolutionperformance boundaries |
| spellingShingle | Xiaole He Ping Liu Junling Wang Performance Boundaries and Tradeoffs in Super-Resolution Imaging Technologies for Space Targets Remote Sensing inverse synthetic aperture radar (ISAR) Rayleigh limit super-resolution performance boundaries |
| title | Performance Boundaries and Tradeoffs in Super-Resolution Imaging Technologies for Space Targets |
| title_full | Performance Boundaries and Tradeoffs in Super-Resolution Imaging Technologies for Space Targets |
| title_fullStr | Performance Boundaries and Tradeoffs in Super-Resolution Imaging Technologies for Space Targets |
| title_full_unstemmed | Performance Boundaries and Tradeoffs in Super-Resolution Imaging Technologies for Space Targets |
| title_short | Performance Boundaries and Tradeoffs in Super-Resolution Imaging Technologies for Space Targets |
| title_sort | performance boundaries and tradeoffs in super resolution imaging technologies for space targets |
| topic | inverse synthetic aperture radar (ISAR) Rayleigh limit super-resolution performance boundaries |
| url | https://www.mdpi.com/2072-4292/17/4/696 |
| work_keys_str_mv | AT xiaolehe performanceboundariesandtradeoffsinsuperresolutionimagingtechnologiesforspacetargets AT pingliu performanceboundariesandtradeoffsinsuperresolutionimagingtechnologiesforspacetargets AT junlingwang performanceboundariesandtradeoffsinsuperresolutionimagingtechnologiesforspacetargets |