Automatic threshold selection method for SAR edge detection

Pengyi Xie, Jiangbin Zheng, Qianru Wei, Yuke Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In order to reduce the manual intervention and calculate amount in edge detection processing, an automatic threshold selection method for edge detection of synthetic aperture radar (SAR) images is proposed. The proposed automatic threshold selection (ATS) method determines the optimal thresholds by establishing a relationship between different thresholds and corresponding detection results. The thresholds chosen by the proposed ATS method are very close to the thresholds determined by manual intervention. Comparing with conventional method, ratio-based detectors with ATS obviously reduce the calculate amount and ensure the accuracy of edge detection at the same time, benefiting from less manual intervention and almost the same thresholds. The experimental results on SAR images show that ratio-based detectors combined with the proposed ATS method not only achieve the accurate detection results, but also effectively reduce the time consumption during thresholds selection.

Original languageEnglish
Title of host publicationAdvances in Brain Inspired Cognitive Systems - 10th International Conference, BICS 2019, Proceedings
EditorsJinchang Ren, Amir Hussain, Huimin Zhao, Jun Cai, Rongjun Chen, Yinyin Xiao, Kaizhu Huang, Jiangbin Zheng
PublisherSpringer
Pages530-539
Number of pages10
ISBN (Print)9783030394301
DOIs
StatePublished - 2020
Event10th International Conference on Brain Inspired Cognitive Systems, BICS 2019 - Guangzhou, China
Duration: 13 Jul 201914 Jul 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11691 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Brain Inspired Cognitive Systems, BICS 2019
Country/TerritoryChina
CityGuangzhou
Period13/07/1914/07/19

Keywords

  • Automatic threshold selection method
  • Edge detection
  • Synthetic aperture radar (SAR)

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