A general purpose automatic detector of broadband transient signals in underwater audio
© 2018 IEEE. A spectrogram-based technique is presented for detection of time-and-bandwidth limited broadband signals in underwater audio. The approach employs an iterative 1-dimensional variant of a 2-dimensional multi-scale blob-detection technique commonly used in image processing. In contrast to...
| Main Authors: | , , |
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| Format: | Conference Paper |
| Published: |
2018
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| Online Access: | http://hdl.handle.net/20.500.11937/73899 |
| _version_ | 1848763127483596800 |
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| author | Madhusudhana, S. Gavrilov, Alexander Erbe, Christine |
| author_facet | Madhusudhana, S. Gavrilov, Alexander Erbe, Christine |
| author_sort | Madhusudhana, S. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 2018 IEEE. A spectrogram-based technique is presented for detection of time-and-bandwidth limited broadband signals in underwater audio. The approach employs an iterative 1-dimensional variant of a 2-dimensional multi-scale blob-detection technique commonly used in image processing. In contrast to the referenced 2-dimensional technique subject to an inherent bias for circular features, the iterative 1-dimensional approach enables detection of features of arbitrary bandwidth and duration. The iterative nature (of processing successive frames) makes it an attractive choice for in-situ streaming-mode applications. The algorithm automatically chooses values for several parameters based on the input spectrogram’s frequency bounds and hence is capable of being readily employed for a variety of applications. The technique’s applications include detection of broadband signals of interest, such as Omura’s whale (Balaenoptera omurai) calls, underwater earthquakes or explosions. With long-term spectral averages, the technique may be used in identifying long-lasting sounds contributing to ambient noise, such as fish choruses or the sounds of wind and rain. A theoretical analysis of the proposed technique’s performance is provided and its detection capability is demonstrated using representative examples. |
| first_indexed | 2025-11-14T10:58:31Z |
| format | Conference Paper |
| id | curtin-20.500.11937-73899 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:58:31Z |
| publishDate | 2018 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-738992019-02-19T04:27:11Z A general purpose automatic detector of broadband transient signals in underwater audio Madhusudhana, S. Gavrilov, Alexander Erbe, Christine © 2018 IEEE. A spectrogram-based technique is presented for detection of time-and-bandwidth limited broadband signals in underwater audio. The approach employs an iterative 1-dimensional variant of a 2-dimensional multi-scale blob-detection technique commonly used in image processing. In contrast to the referenced 2-dimensional technique subject to an inherent bias for circular features, the iterative 1-dimensional approach enables detection of features of arbitrary bandwidth and duration. The iterative nature (of processing successive frames) makes it an attractive choice for in-situ streaming-mode applications. The algorithm automatically chooses values for several parameters based on the input spectrogram’s frequency bounds and hence is capable of being readily employed for a variety of applications. The technique’s applications include detection of broadband signals of interest, such as Omura’s whale (Balaenoptera omurai) calls, underwater earthquakes or explosions. With long-term spectral averages, the technique may be used in identifying long-lasting sounds contributing to ambient noise, such as fish choruses or the sounds of wind and rain. A theoretical analysis of the proposed technique’s performance is provided and its detection capability is demonstrated using representative examples. 2018 Conference Paper http://hdl.handle.net/20.500.11937/73899 10.1109/OCEANSKOBE.2018.8559259 restricted |
| spellingShingle | Madhusudhana, S. Gavrilov, Alexander Erbe, Christine A general purpose automatic detector of broadband transient signals in underwater audio |
| title | A general purpose automatic detector of broadband transient signals in underwater audio |
| title_full | A general purpose automatic detector of broadband transient signals in underwater audio |
| title_fullStr | A general purpose automatic detector of broadband transient signals in underwater audio |
| title_full_unstemmed | A general purpose automatic detector of broadband transient signals in underwater audio |
| title_short | A general purpose automatic detector of broadband transient signals in underwater audio |
| title_sort | general purpose automatic detector of broadband transient signals in underwater audio |
| url | http://hdl.handle.net/20.500.11937/73899 |