4.4 Article

Mosaic method of side-scan sonar strip images using corresponding features

期刊

IET IMAGE PROCESSING
卷 7, 期 6, 页码 616-623

出版社

INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-ipr.2012.0468

关键词

image fusion; image segmentation; object detection; oceanography; sonar imaging; wavelet transforms; geophysical image processing; shape recognition; side-scan sonar strip images; towing operation mode; targets distortions; targets dislocations; SSS strip image; strip images mosaic method; tessellation-line method; seabed relief understanding; seabed relief recognition; segment-image mosaic method; SSS image preprocessing; image segment match; image fusion; wavelet transformation-based coverage area; whole-area SSS image; seabed target distribution; seabed target shape; seabed target position

资金

  1. National Natural Science Foundation of China [40976061, 41176068]

向作者/读者索取更多资源

The towing operation mode of side-scan sonar system (SSS) easily results in dislocations and distortions of targets in the SSS strip image, brings difficulty to the mosaic of these strip images by the geocoding method or the tessellation-line method and affects the recognition and understanding for seabed relief. Therefore this study proposes a new method, namely the segment-image mosaic method based on corresponding features of the two adjacent SSS strip images. Through SSS image preprocessing, segment match based on corresponding features and image fusion in the common coverage area based on wavelet transformation, this new method overcomes the drawbacks of the traditional methods of image mosaic, fulfils well the mosaic of SSS strip images and finally a whole-area SSS image is formed. Experiments have verified that the mosaic image formed by the new method can correctly reflect the position, shape and distribution of seabed targets, which is helpful to understand seabed relief.

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