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Artículo

A Framework for Acoustic Segmentation Using Order Statistic-Constant False Alarm Rate in Two Dimensions from Sidescan Sonar Data

Villar, Sebastian AldoIcon ; de Paula, MarianoIcon ; Solari, Franco JesúsIcon ; Acosta, Gerardo GabrielIcon
Fecha de publicación: 07/2018
Editorial: Institute of Electrical and Electronics Engineers
Revista: Ieee Journal Of Oceanic Engineering
ISSN: 0364-9059
e-ISSN: 1558-1691
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Ingeniería de Sistemas y Comunicaciones

Resumen

This paper describes a framework for object segmentation from sidescan sonar acoustic data. The current techniques consume a great deal of computational resources to accurately carry out object segmentation. They also involve the tuning of many parameters to obtain good quality images. This is due to the handling of the large data volume generated by these devices and environmental fluctuations such as salinity, density, temperature, and others variations. The framework proposed uses a migration and adaptation of a technique widely used in radar technology for detecting moving objects. This radar technique is known as order statistic-constant false alarm rate (OS-CFAR) applied in 2-D. OS-CFAR 2-D rank orders the samples obtained from a sliding window to make a segmentation of the image. This segmentation is done into several types of regions: acoustic highlight, shadow, and different seafloor reverberation areas. OS-CFAR 2-D is less sensitive than other methods to the presence of the speckle noise due to the use of order statistics. This proposal was contrasted experimentally on real images. Likewise, an experimental comparison with the results obtained with the undecimated discrete wavelet transform, active contours, Markov random field, and accumulated cell averaging CFAR applied in two dimensions technique is also presented.
Palabras clave: Image Segmentation , Order Statistic-Constant False Alarm Rate (Os-Cfar) , Sidescan Sonar (Sss) , Sonar Imagery
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/58167
DOI: http://dx.doi.org/10.1109/JOE.2017.2721058
URL: https://ieeexplore.ieee.org/document/7981335/
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Articulos(CIFICEN)
Articulos de CENTRO DE INV. EN FISICA E INGENIERIA DEL CENTRO DE LA PCIA. DE BS. AS.
Citación
Villar, Sebastian Aldo; de Paula, Mariano; Solari, Franco Jesús; Acosta, Gerardo Gabriel; A Framework for Acoustic Segmentation Using Order Statistic-Constant False Alarm Rate in Two Dimensions from Sidescan Sonar Data; Institute of Electrical and Electronics Engineers; Ieee Journal Of Oceanic Engineering; 43; 3; 7-2018; 735-748
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