TY - GEN
T1 - Clustering of Multiple Ships Underwater Radiated Noise
AU - Alexandri, Talmo
AU - Diamant, Roee
N1 - Funding Information: This research was supported by a scholarship sponsored by the Ministry of Science & Technology, Israel. Publisher Copyright: © 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The increase in shipborne underwater radiated noise (URN) is considered a source of pollution, and should be monitored regularly. We identify knowledge gap in the URN monitoring of vessels of opportunity, where the recording may include URN from multiple vessels simultaneously. To that end, we proposed a method to distinguish, by clustering, between narrow-band tonal lines originated from multiple vessels as received by a single omnidirectional hydrophone. Our clustering is based on feature extraction to classify the tonal lines into vessels by clustering the tonal lines to groups based on their likelihood to be originated from the same source. We present proof-of-concept based on data collected from the "ShipsEar"database and a test-case that shows more than 75% in the true negative and true positive for vessel association.
AB - The increase in shipborne underwater radiated noise (URN) is considered a source of pollution, and should be monitored regularly. We identify knowledge gap in the URN monitoring of vessels of opportunity, where the recording may include URN from multiple vessels simultaneously. To that end, we proposed a method to distinguish, by clustering, between narrow-band tonal lines originated from multiple vessels as received by a single omnidirectional hydrophone. Our clustering is based on feature extraction to classify the tonal lines into vessels by clustering the tonal lines to groups based on their likelihood to be originated from the same source. We present proof-of-concept based on data collected from the "ShipsEar"database and a test-case that shows more than 75% in the true negative and true positive for vessel association.
KW - Multi-view spectral clustering
KW - Shipping noise
KW - Underwater radiated noise
UR - http://www.scopus.com/inward/record.url?scp=85173706513&partnerID=8YFLogxK
U2 - https://doi.org/10.1109/oceanslimerick52467.2023.10244289
DO - https://doi.org/10.1109/oceanslimerick52467.2023.10244289
M3 - Conference contribution
T3 - OCEANS 2023 - Limerick, OCEANS Limerick 2023
BT - OCEANS 2023 - Limerick, OCEANS Limerick 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 OCEANS Limerick, OCEANS Limerick 2023
Y2 - 5 June 2023 through 8 June 2023
ER -