Image Morphological Characteristics of Geometrical Structure of Target Echo Time-frequency Distribution

LI Xiu-kun;XIA Zhi;ZHU Xu

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  • Sponsored by: China Association for Science and Technology (CAST)

    Editor-In-Chief: Xu Yida

    ISSN 1000-1093

    　

  • Hosted By: China Ordnance Society

    Published By: Acta Armamentarii

    CN 11-2176/TJ

Acta Armamentarii, a Chinese monthly journal, was first published in 1979. The journal is supervised by China Association for Science and Technology, sponsored by China Ordnance Society，and edited and published by Editorial Board of Acta Armamentarii. The Journal is included in all important domestic databases，and also collected by Engineering Index (EI, USA), Chemical Abstracts (CA, USA), Science Abstracts (SA, UK）, Abstract Journal (AJ, Russia), and Current Bibliography on Science and Technology(CBST).Acta Armamentarii has been selected into the journal Of Ordnance Science and Technology (Weapons Industry) Field Of High Quality Scientific and Technological Periodical Classification Catalogue (2022 edition), ranking T1, and the journal of Automotive Engineering Field of High Quality Scientific and technological Periodical classification Catalogue, ranking T2.
Acta Armamentarii ›› 2015, Vol. 36 ›› Issue (1) : 130-137. DOI: 10.3969/j.issn.1000-1093.2015.01.019
Paper

Image Morphological Characteristics of Geometrical Structure of Target Echo Time-frequency Distribution

  • LI Xiu-kun1,2, XIA Zhi1,2, ZHU Xu1,2
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Abstract

The key of underwater bottom target recognition is to extract the stable target echo signal feature from reverberation background. The edge scattering of target carries its geometrical information, and it has regular distribution on the time-frequency plane. But the path difference ofedge scattering is little, and it’s always drowned out by reverberation. Because of the limited time-frequency resolution and the limited anti-reverberation ability of existing time-frequency analysis method, there hasn’t been any effective feature extraction method of target geometrical characteristics. The geometrical distribution feature of target echo on the time-frequency plane is extracted as an image feature. The morphological characteristics of geometrical highlight and reverberation on the time-frequency plane are researched. The structural element matched with the time-frequency distribution is constructed, and the time-frequency distribution image is morphologically filtered. The experimental data processing result shows that, compared with existing method, the proposed method can be used to recognize the geometrical highlight structure of target and suppress the reverberation at the same time.

Key words

acoustics / bottom target / geometrical highlight feature / anti-reverberation / morphological filter

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LI Xiu-kun, XIA Zhi, ZHU Xu. Image Morphological Characteristics of Geometrical Structure of Target Echo Time-frequency Distribution. Acta Armamentarii. 2015, 36(1): 130-137 https://doi.org/10.3969/j.issn.1000-1093.2015.01.019

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