Feature-enhanced SAR imaging algorithm based on attributed scatttering centre models for man-made radar targets

• Main Authors: Jia Duan, Yifeng Wu, Lanying Cao
• Format: Article
• Language: English
• Published: Wiley 2019-07-01
• Series: The Journal of Engineering
• Subjects: synthetic aperture radar; radar imaging; feature extraction; echo; radar target recognition; feature-enhanced SAR imaging algorithm; attributed scatttering centre models; inherent scattering behaviours; radar echo; attributed parameters; inherent feature; man-made radar targets; synthetic aperture imaging methods; feature enhancement; decomposed ASC; FE imaging method
• Online Access: https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0317

Traditional synthetic aperture (SAR) imaging methods assume that man-made targets are composed of point-based scattering centres. In this way, gaps of components may be resulted, because of neglecting their inherent scattering behaviours. In order to enhance the integrity of components in SAR, a feature-enhanced (FE) imaging method for SAR is proposed, taking into account the inherent behaviours of components of radar targets. Here, the radar echo is decomposed into attributed scattering centres (ASCs) instead of traditional point scattering centres. Based on the decomposed ASCs, different feature enhancement schemes are applied to different kinds of scattering centres according to their attributed parameters. As a result, a FE imaging image for SAR can be achieved by utilising the inherent feature of each decomposed ASCs.