Sonar Image Enhancements for Improved Detection of Sea Mines

Karl Jespersen, Helge Bjarup Dissing Sørensen, Benoit Zerr, Bjarne Stage, Bent Haugsted

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearch

    Abstract

    In this paper, five methods for enhancing sonar images prior to automatic detection of sea mines are investigated. Two of the methods have previously been published in connection with detection systems and serve as reference. The three new enhancement approaches are variance stabilizing log transform, nonlinear filtering, and pixel averaging for speckle reduction. The effect of the enhancement step is tested by using the full prcessing chain i.e. enhancement, detection and thresholding to determine the number of detections and false alarms. Substituting different enhancement algorithms in the processing chain gives a precise measure of the performance of the enhancement stage. The test is performed using a sonar image database with images ranging from very simple to very complex. The result of the comparison indicates that the new enhancement approaches improve the detection performance.
    Original languageEnglish
    Title of host publicationDetection and Remediation Technologies for Mines and Minelike Targets IV
    Place of PublicationWashington
    PublisherSPIE
    Publication date1999
    Pages552-558
    ISBN (Print)0-8194-3184-2
    Publication statusPublished - 1999
    EventSPIE AEROSENCE 1999 - Detection and Remediation Technologies for Mines and Minelike Targets IV - Orlando, Florida, USA
    Duration: 1 Jan 1999 → …

    Conference

    ConferenceSPIE AEROSENCE 1999 - Detection and Remediation Technologies for Mines and Minelike Targets IV
    CityOrlando, Florida, USA
    Period01/01/1999 → …

    Cite this

    Jespersen, K., Sørensen, H. B. D., Zerr, B., Stage, B., & Haugsted, B. (1999). Sonar Image Enhancements for Improved Detection of Sea Mines. In Detection and Remediation Technologies for Mines and Minelike Targets IV (pp. 552-558). SPIE.