On threshold selection for improved SAR two-stage change detection

Akshay S. Bondre, Christ D. Richmond

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The sample intensity ratio estimator and the sample coherence estimator are test statistics which are generally used for detecting areas of change between two synthetic aperture radar (SAR) images of the same scene, taken at different times. Cha et al. have proposed a two-stage change detection method, where the first stage consists of the sample intensity ratio detector, and the second stage uses the Berger's statistic instead of the classical coherence estimator as an estimate of the true coherence between the corresponding pixels in the two images. It was shown with the help of experimental results that the two-stage change detector performs better than the sample intensity ratio as well as the sample coherence detector. However, they have used a heuristic approach to determine the thresholds for the two-stage change detection method. In this paper, using the joint distribution of the sample intensity ratio and the Berger's coherence estimate, an approach for determining the thresholds for this two dimensional detection problem is proposed. Theoretical receiver operating characteristics (ROC) curve analysis suggests that for a given probability of false alarm, using the proposed threshold selection method for the two-stage detector yields a higher overall performance as compared to the classical coherence estimator statistic. Also, it is shown that when some practical considerations are taken into account, a modified detector must be used in order to realize this improved change detection.

Original languageEnglish (US)
Title of host publication2020 IEEE International Radar Conference, RADAR 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages214-219
Number of pages6
ISBN (Electronic)9781728168128
DOIs
StatePublished - Apr 2020
Event2020 IEEE International Radar Conference, RADAR 2020 - Washington, United States
Duration: Apr 28 2020Apr 30 2020

Publication series

Name2020 IEEE International Radar Conference, RADAR 2020

Conference

Conference2020 IEEE International Radar Conference, RADAR 2020
CountryUnited States
CityWashington
Period4/28/204/30/20

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

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