Localization of sperm whales in a group using clicks received at two separated short baseline arrays
Autor: | Junichi Kojima, M. Sakata, Ryo Hirotsu, Masao Yanagisawa, Tamaki Ura, Harumi Sugimatsu, Rajendar Bahl |
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Rok vydání: | 2010 |
Předmět: |
Matching (statistics)
Time Factors Acoustics and Ultrasonics Bioacoustics Computer science Acoustics Population Cetacea Japan Arts and Humanities (miscellaneous) Sperm whale biology.animal Animals Least-Squares Analysis Underwater education education.field_of_study Pacific Ocean Behavior Animal Sperm Whale biology Whale business.industry Direction of arrival Signal Processing Computer-Assisted Pattern recognition biology.organism_classification Artificial intelligence Vocalization Animal Underwater acoustics business Algorithms |
Zdroj: | The Journal of the Acoustical Society of America. 127:133-147 |
ISSN: | 0001-4966 |
DOI: | 10.1121/1.3268593 |
Popis: | In this paper, a sperm whale click analysis scheme is proposed in order to calculate the position of individual sperm whales in a group using data received at two arrays deployed near the surface. The proposed method mainly consists of two parts: short baseline (SBL) with classification and long baseline (LBL) with class matching. In SBL with classification, a click is automatically detected, and its direction of arrival is calculated. The clicks are then classified based on their direction vectors. The class data are then sent together with direction data and matched to the other array's class data. LBL with class matching is used for localization. The classification algorithm can be used to estimate the number of whales clicking and to list potential candidates for LBL matching. As a result, the proposed method is able to localize the positions of the whales in a group. The performance of the proposed method is evaluated using data recorded off Ogasawara islands with two arrays near the surface. The three-dimensional underwater trajectories of six sperm whales are extracted to demonstrate the capability of the proposed method. |
Databáze: | OpenAIRE |
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