JOURNAL ARTICLE

Feature Enhanced Synthetic Aperture Radar Image Formation

Abstract

We propose a feature enhanced image reconstruction method for spotlight mode synthetic aperture radar. Based on the image processing of Computerized tomography model, this method has increased resolution, reduced side lobes and reduced speckle by incorporating prior information regarding the features of interested scattering fields. Also, by using the extensions of half quadratic regularization methods, this algorithm effectively deals with the complex valued, random phrase nature of the underlying SAR reflectivities.

Keywords:
Synthetic aperture radar Speckle pattern Radar imaging Artificial intelligence Computer science Inverse synthetic aperture radar Computer vision Regularization (linguistics) Feature (linguistics) Speckle noise Iterative reconstruction Image restoration Side looking airborne radar Radar Pattern recognition (psychology) Image (mathematics) Image processing Continuous-wave radar Telecommunications

Metrics

3
Cited By
0.56
FWCI (Field Weighted Citation Impact)
16
Refs
0.80
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced SAR Imaging Techniques
Physical Sciences →  Engineering →  Aerospace Engineering
Synthetic Aperture Radar (SAR) Applications and Techniques
Physical Sciences →  Engineering →  Aerospace Engineering
Microwave Imaging and Scattering Analysis
Physical Sciences →  Engineering →  Biomedical Engineering

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