Fractional sparse energy representation method for ISAR imaging
| Autor: | Zhichun Zhao, Yue Wang, Gang Li, Ran Tao |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Synthetic aperture radar
Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 0211 other engineering and technologies 020206 networking & telecommunications 02 engineering and technology Sparse approximation Fractional Fourier transform Inverse synthetic aperture radar symbols.namesake Fourier transform Robustness (computer science) Computer Science::Computer Vision and Pattern Recognition Radar imaging 0202 electrical engineering electronic engineering information engineering symbols Computer vision Artificial intelligence Electrical and Electronic Engineering business 021101 geological & geomatics engineering |
| Zdroj: | IET Radar, Sonar & Navigation. 12:988-997 |
| ISSN: | 1751-8792 |
| Popis: | Inverse synthetic aperture radar (ISAR) is an effective radar imaging technology to obtain high-resolution images of manoeuvring targets. To improve the cross-range resolution of ISAR images, a fractional sparse energy representation method is proposed for ISAR imaging of rotating targets by combining fractional Fourier transform with sparse representation technique. Experimental results demonstrate that the proposed algorithms can efficiently realise high-quality imaging in addition to robustness against noise. |
| Databáze: | OpenAIRE |
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