Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Two-Parameter CFAR Ship Detection Algorithm Based on Rayleigh Distribution in SAR Images

Version 1 : Received: 15 December 2021 / Approved: 16 December 2021 / Online: 16 December 2021 (15:57:35 CET)

How to cite: Wu, R. Two-Parameter CFAR Ship Detection Algorithm Based on Rayleigh Distribution in SAR Images. Preprints 2021, 2021120280 (doi: 10.20944/preprints202112.0280.v1). Wu, R. Two-Parameter CFAR Ship Detection Algorithm Based on Rayleigh Distribution in SAR Images. Preprints 2021, 2021120280 (doi: 10.20944/preprints202112.0280.v1).

Abstract

Synthetic Aperture Radar (SAR) is an active type of microwave remote sensing. Using the microwave imaging system, remote sensing monitoring of the land and global ocean can be done in any weather conditions around the clock. Detection of SAR image targets is one of the main needs of radar image interpretation applications. In this paper, an improved two-parameter CFAR algorithm based on Rayleigh distribution and morphological processing is proposed to perform ship detection and recognition in high resolution SAR images. Through simulation experiments, comprehensive study of the two algorithms for high resolution SAR image target detection is achieved. Finally, the results of ship detection experiments are compared and analyzed, and the effects of detection are evaluated according to the Rayleigh distribution model and algorithms.

Keywords

SAR; Ship detecion; CFAR; Mathematical morphology

Subject

ENGINEERING, Other

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our diversity statement.

Leave a public comment
Send a private comment to the author(s)
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.