Sparse regularization method combining SVA for feature enhancement of SAR images
نویسندگان
چکیده
Sparse signal processing has been widely used in synthetic aperture radar imaging and feature enhancement of images the recent decade. regularization ℓ1 can reduce noise level suppress sidelobes. However, suppression sidelobes by sparse often pays price losing information weak targets. Therefore, method combining spatially variant apodization is proposed this paper, which noise, retain detail information. The performance verified using simulated real data.
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ژورنال
عنوان ژورنال: Electronics Letters
سال: 2022
ISSN: ['0013-5194', '1350-911X']
DOI: https://doi.org/10.1049/ell2.12509