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Simulated annealing CFAR threshold selection for South African ship detection in ASAR imagery

conference contribution
posted on 2023-05-23, 09:05 authored by Schwegmann, CP, Kleynhans, W, Brian SalmonBrian Salmon
Synthetic Aperture Radar images are able to detect ships that would be hidden to tradition ship tracking methods due to their transponders being turned off. Using a SAR image as input, the CFAR method can highlight these ships given a correctly chosen threshold value. Typically, the threshold value is chosen as a single floating value for all positions creating a flat threshold plane. This study introduces a novel method of creating a threshold plane which is adapted using Simulated Annealing. This non-flat threshold allows different areas of the image to have different threshold values thereby improving the overall performance of the ship detection system. It was found in our experiments that the proposed method improves upon the false alarm rate of the flat threshold plane CFAR method whilst keeping a similar level of detection accuracy.


Publication title

Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS)






School of Engineering



Place of publication

United States of America

Event title

International Geoscience and Remote Sensing Symposium 2014

Event Venue

Quebec, Canada

Date of Event (Start Date)


Date of Event (End Date)


Rights statement

Copyright 2014 IEEE

Repository Status

  • Restricted

Socio-economic Objectives

Expanding knowledge in engineering

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    University Of Tasmania