Data-Driven Motion Compensation Techniques for Noncooperative ISAR Imaging
| Autor: | Ari Visa, Risto Vehmas, Juha Jylha, Minna Vaila, Juho Vihonen |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Autofocus
Motion compensation Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 0211 other engineering and technologies Aerospace Engineering 020206 networking & telecommunications 02 engineering and technology Iterative reconstruction law.invention Inverse synthetic aperture radar Range (mathematics) law Radar imaging 0202 electrical engineering electronic engineering information engineering Computer vision Artificial intelligence Electrical and Electronic Engineering business Image resolution 021101 geological & geomatics engineering |
| Zdroj: | IEEE Transactions on Aerospace and Electronic Systems. 54:295-314 |
| ISSN: | 0018-9251 |
| DOI: | 10.1109/taes.2017.2756518 |
| Popis: | We consider the data-driven motion compensation problem in inverse synthetic aperture radar (ISAR) imaging. We present optimization-based ISAR techniques and propose improvements to the range alignment, time-window selection, autofocus, time–frequency-based image reconstruction, and cross-range scaling procedures. In experiments, the improvements reduced the computational burden and increased the image contrast by 50% at best and 28% on average in several test cases, including changing translational and rotational motion. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|