A 2D Spatial Smoothing MUSIC Superresolution FMCW SAR Imaging Algorithm1
| Autor: | Yan Wang, Xiaolan Qiu, Xuejiao Wen |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Computer science
business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Object detection law.invention law Position (vector) Computer Science::Computer Vision and Pattern Recognition Radar imaging Frequency domain Limit (music) Computer vision Artificial intelligence Radar business Image resolution Smoothing |
| Zdroj: | IGARSS |
| DOI: | 10.1109/igarss47720.2021.9554997 |
| Popis: | The super-resolution algorithm can break through the theoretical resolution limit of radar and improve image resolution by several times under the condition of hardware parameter limitation. The improved resolution can see more details of the image, which is helpful for target detection and recognition. In this paper, a 2D spatial smoothing music superresolution FMCW SAR imaging algorithm is proposed. In this algorithm, the spatial smoothing MUSIC algorithm is used to establish the guidance vector relationship between the frequency domain and the spatial position of the targets, and GDE is used to estimate the number of sources. The algorithm can achieve the super-resolution reconstruction of the imaging target space. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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