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...
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 |
Similar Items
-
Analysis and identification of continuous line target in SAR echo based on sidelobe features
by: Yangkai Wei, et al.
Published: (2019-07-01) -
Wavefront feature extraction for SAR target recognition
by: Jiping Wang, et al.
Published: (2019-10-01) -
A Multimodal Radar-Ultrasound Imaging Concept for Improved Display of Concealed Objects
by: Ingrid Ullmann, et al.
Published: (2019-01-01) -
An Introduction to Synthetic Aperture Radar Imaging
by: Thomas P. Ager
Published: (2013-06-01) -
Fast Compressive Sensing-Based SAR Imaging Integrated With Motion Compensation
by: Wei Pu, et al.
Published: (2019-01-01)