Image and Signal Processing Methods

Optimum imaging time selection algorithm for inverse synthetic aperture radar images using geometric features and image gradient

[+] Author Affiliations
Su Fulin, Yang Hongxin

Harbin Institute of Technology, School of Electronics and Information Engineering, No. 92 West Dazhi Street, Harbin 150001, China

J. Appl. Remote Sens. 10(3), 035025 (Sep 29, 2016). doi:10.1117/1.JRS.10.035025
History: Received January 12, 2016; Accepted September 9, 2016
Text Size: A A A

Abstract.  For better using of inverse synthetic aperture radar (ISAR) images of ship targets, it is more desirable to select a proper imaging time to obtain high quality top-view or side-view images. However, optimum imaging time selection is not robust enough for the restriction of traditional geometric feature extraction methods. In our study, we propose a method based on the geometric features and gradient maximization. First, we select the imaging instant from radar echoes by the centerline and mainmast of the ship. In this part, we propose a geometric features extraction method to improve the robustness of instant selection in different scenarios. Then, an image gradient maximization is employed to estimate the period for ISAR imaging. Finally, experimental results of both simulated and real signals are provided to demonstrate the effectiveness and practicability of the algorithm.

© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Su Fulin and Yang Hongxin
"Optimum imaging time selection algorithm for inverse synthetic aperture radar images using geometric features and image gradient", J. Appl. Remote Sens. 10(3), 035025 (Sep 29, 2016). ; http://dx.doi.org/10.1117/1.JRS.10.035025


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.