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

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 fea...

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Bibliographic Details
Main Authors: Jia Duan, Yifeng Wu, Lanying Cao
Format: Article
Language:English
Published: Wiley 2019-07-01
Series:The Journal of Engineering
Subjects:
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0317
Description
Summary: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.
ISSN:2051-3305