Combining Denoising Autoencoders and Dynamic Programming for Acoustic Detection and Tracking of Underwater Moving Targets

Accurate detection and tracking of moving targets in underwater environments pose significant challenges, because noise in acoustic measurements (e.g., SONAR) makes the signal highly stochastic. In continuous marine monitoring a further challenge is related to the computational complexity of the sig...

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Autori principali:	Alberto Testolin, Roee Diamant
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2020-05-01
Serie:	Sensors
Soggetti:	underwater signal detection deep learning Viterbi algorithm marine monitoring acoustic detection SONAR
Accesso online:	https://www.mdpi.com/1424-8220/20/10/2945
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