Download or read book Detection Classification Localization of Marine Mammals Using Passive Acoustics written by Olivier Adam and published by . This book was released on 2013 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Proceedings of the 4th International Workshop on Detection Classification and Localization of Marine Mammals Using Passive Acoustics and 1st International Workshop on Density Estimation of Marine Mammals Using Passive Acoustics written by International Workshop on Detection, Classification and Localization of Marine Mammals Using Passive Acoustics and published by . This book was released on 2010 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Detection and Localization of Marine Mammals Using Passive Acoustics written by Olivier Adam and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Technical and Scientific Support for Passive Acoustic Monitoring in the Research Cruise MED09 written by and published by . This book was released on 2009 with total page 9 pages. Available in PDF, EPUB and Kindle. Book excerpt: Main goal in our R & D program is the development of efficient and reliable tools for marine mammals' acoustic detection, classification, localization and tracking to support research, conservation and mitigation needs. The R & D program on marine mammals began in 1991 based on previous 10 years development of software and hardware for digital sound analysis and was then boosted by joining NURC (1998) in the development of the MMRMP program (formerly SOLMAR). The plan is to continue the improvement of available technologies (towed arrays, autonomous recorders) and to progressively develop semi-automatic tools to assist operators in the classification and tracking of received sources. The ultimate goal is to develop passive acoustics tools for evaluating the presence, distribution and density of marine mammals to support conservation strategies.
Download or read book Proceedings of the 3rd International Workshop on Detection and Classification of Marine Mammals Using Passive Acoustics written by and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Proceedings of the 2003 workshop on detection and localisation of marine mammals using passive acoustics written by Workshop on Detection and Localisation of Marine Mammals Using Passive Acoustics and published by . This book was released on 2004 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Detection classification and localisation of marine mammal vocalisations written by S. P. Beerens and published by . This book was released on 2004 with total page 63 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Passive Portable Detection and Localization of Beaked Whales written by and published by . This book was released on 2009 with total page 13 pages. Available in PDF, EPUB and Kindle. Book excerpt: The long-term goal of this program is to develop passive-portable tools for the detection of marine mammal vocalizations including those from deep diving Blainville's (Mesoplodon densitrostris) and Cuvier's (Ziphius cavirostris) beaked whales from ships of opportunity including small observer vessels. The two primary objectives of this program are: 1) to develop a 53F GPS-modified sonobuoy multiple-sensor, wide-baseline system and 2) to develop a portable bearing array, capable of deployment from an observer vessel. Sonbuoy-Based System The sonobuoy-based system extends to the field the capabilities of the Marine Mammal Monitoring on Navy Range (M3R) program's passive acoustic Detection, Classification, and Localization (DCL) tools, which are presently available at the Atlantic Undersea Test and Evaluation Center (AUTEC) and Southern California Offshore RangE (SCORE). The system was designed to provide real-time feedback from multiple sonobuoys, to be highly portable, easily deployable, and cost efficient.
Download or read book Passive Acoustic Monitoring of Cetaceans written by Walter M. X. Zimmer and published by Cambridge University Press. This book was released on 2011-04-21 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: Passive acoustic monitoring is increasingly used by the scientific community to study, survey and census marine mammals, especially cetaceans, many of which are easier to hear than to see. PAM is also used to support efforts to mitigate potential negative effects of human activities such as ship traffic, military and civilian sonar and offshore exploration. Walter Zimmer provides an integrated approach to PAM, combining physical principles, discussion of technical tools and application-oriented concepts of operations. Additionally, relevant information and tools necessary to assess existing and future PAM systems are presented, with Matlab code used to generate figures and results so readers can reproduce data and modify code to analyse the impact of changes. This allows the principles to be studied whilst discovering potential difficulties and side effects. Aimed at graduate students and researchers, the book provides all information and tools necessary to gain a comprehensive understanding of this interdisciplinary subject.
Download or read book Proceedings of the 2003 Workshop on Detection and Localisation of Marine Mammals Using Passive Acoustics Dartmouth Nova Scotia 19 21 Novembrer 2003 written by Francine Desharnais and published by . This book was released on 2004 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Tracking Marine Mammals Using Passive Acoustics written by Eva-Marie Nosal and published by . This book was released on 2007 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Marine Mammal Observer and Passive Acoustic Monitoring Handbook written by Victoria Todd and published by Pelagic Publishing Ltd. This book was released on 2015-03-18 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: Marine Mammal Observer and Passive Acoustic Monitoring Handbook is the ultimate instruction manual for mitigation measures to minimise man-made acoustical and physical disturbances to marine mammals from industrial and defence activities.
Download or read book Exploring Animal Behavior Through Sound Volume 1 written by Christine Erbe and published by Springer Nature. This book was released on 2022-10-03 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open-access book empowers its readers to explore the acoustic world of animals. By listening to the sounds of nature, we can study animal behavior, distribution, and demographics; their habitat characteristics and needs; and the effects of noise. Sound recording is an efficient and affordable tool, independent of daylight and weather; and recorders may be left in place for many months at a time, continuously collecting data on animals and their environment. This book builds the skills and knowledge necessary to collect and interpret acoustic data from terrestrial and marine environments. Beginning with a history of sound recording, the chapters provide an overview of off-the-shelf recording equipment and analysis tools (including automated signal detectors and statistical methods); audiometric methods; acoustic terminology, quantities, and units; sound propagation in air and under water; soundscapes of terrestrial and marine habitats; animal acoustic and vibrational communication; echolocation; and the effects of noise. This book will be useful to students and researchers of animal ecology who wish to add acoustics to their toolbox, as well as to environmental managers in industry and government.
Download or read book Marine Mammal Species Detection and Classification written by Nicole Nichols and published by . This book was released on 2016 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transient source detection and classification is a particularly challenging problem. Marine mammal vocalizations are a well-known example of these non-stationary sources, including a variety of clicks, pulse bursts and frequency sweeps. There are both environmental and legal needs to improve remote marine mammal monitoring, which can be done efficiently using passive acoustic monitoring (PAM), and public data are available to test new methods. In this thesis, I propose the use of non-negative matrix factorization (NMF) based feature representation for detection and classification of marine mammals for the following reasons: NMF can learn non-stationary signals, training requires less detailed annotations than existing species classification techniques, it can capture species-specific information from non-stereotyped vocalizations, and some NMF-based methodologies incorporate noise removal and session effect compensation. In particular, co-occurrence constraints in NMF analysis were helpful in addressing session effects in species classification. An additional direction of the research was to minimize the need for strictly labeled training data, which is arduous to create and thereby limits performance. I investigated weakly supervised learning techniques to leverage data with incomplete annotations. In these trials, recordings were made in the visual presence of a single species, but there were no annotations to indicate when vocalizations occurred. Automated detection algorithms identified potential vocalizations and then confidence-based selection methods filtered the best examples in an iterative training procedure. This method was particularly beneficial for species classification from clicks, which is very sensitive to on- and off-axis variations. Changes in orientation make the signal more variable and interfere with establishing consistent features for species classification. Weakly supervised species classification from clicks automatically identified the clicks that were most representative of species. This method improved species classification by 7-15% as compared to models built with all detected clicks. Weak supervision for updating noise bases also lead to a 30% reduction in cross species error for a mismatched data scenario in species classification based on whistles. Together these methods contributed to algorithm improvements for transient source detection and classification system. Further experiments in marine mammal identification using NMF would provide further understanding of methods for compensating for variability associated with recording conditions.
Download or read book Passive Acoustic Detection of Marine Mammals written by D.A. Abraham and published by . This book was released on 2000 with total page 31 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Machine Learning in Passive Ocean Acoustics for Localizing and Characterizing Events written by Emma Ozanich and published by . This book was released on 2020 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: Passive acoustics, or the recording of pressure signals from uncontrolled sound sources, is a powerful tool for monitoring man-made and natural sounds in the ocean. Passive acoustics can be used to detect changes in physical processes within the environment, study behavior and movement of marine animals, or observe presence and motion of ocean vessels and vehicles. Advances in ocean instrumentation and data storage have improved the availability and quality of ambient noise recordings, but there is an ongoing effort to improve signal processing algorithms for extracting useful information from the ambient noise. This dissertation uses machine learning as a framework to address problems in underwater passive acoustic signal processing. Statistical learning has been used for decades, but machine learning has recently gained popularity due to the exponential growth of data and its ability to capitalize on these data with efficient GPU computation. The chapters within this dissertation cover two types of problems: characterization and classification of ambient noise, and localization of passive acoustic sources. First, ambient noise in the eastern Arctic was studied from April to September 2013 using a vertical hydrophone array as it drifted from near the North Pole to north of Fram Strait. Median power spectral estimates and empirical probability density functions (PDFs) along the array transit show a change in the ambient noise levels corresponding to seismic survey airgun occurrence and received level at low frequencies and transient ice noises at high frequencies. Noise contributors were manually identified and included broadband and tonal ice noises, bowhead whale calling, seismic airgun surveys, and earthquake T phases. The bowhead whale or whales detected were believed to belong to the endangered Spitsbergen population and were recorded when the array was as far north as 86°24'N. Then, ambient noise recorded in a Hawaiian coral reef was analyzed for classification of whale song and fish calls. Using automatically detected acoustic events, two clustering processes were proposed: clustering handpicked acoustic metrics using unsupervised methods, and deep embedded clustering (DEC) to learn latent features and clusters from fixed-length power spectrograms. When compared on simulated signals of fish calls and whale song, the unsupervised clustering methods were confounded by overlap in the handpicked features while DEC identified clusters with fish calls, whale song, and events with simultaneous fish calls and whale song. Both clustering approaches were applied to recordings from directional autonomous seafloor acoustic recorder (DASAR) sensors on a Hawaiian coral reef in February 2020. Next, source localization in ocean acoustics was posed as a machine learning problem in which data-driven methods learned source ranges or direction-of-arrival directly from observed acoustic data. The pressure received by a vertical linear array was preprocessed by constructing a normalized sample covariance matrix (SCM) and used as the input for three machine learning methods: feed-forward neural networks (FNN), support vector machines (SVM) and random forests (RF). The FNN, SVM, RF and conventional matched-field processing were applied to recordings from ships in the Noise09 experiment to demonstrate the potential of machine learning for underwater source localization. The source localization problem was extended by examining the relationship between conventional beamforming and linear supervised learning. Then, a nonlinear deep feedforward neural network (FNN) was developed for direction-of-arrival (DOA) estimation for two-source DOA and for K-source DOA, where K is unknown. With multiple snapshots, K-source FNN achieved resolution and accuracy similar to Multiple Signal Classification (MUSIC) and SBL for an unknown number of sources. The practicality of the deep FNN model was demonstrated on ships in the Swellex96 experimental data.
Download or read book Listening in the Ocean written by Whitlow W. L. Au and published by Springer. This book was released on 2016-02-25 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: This title brings to light the discoveries and insights into the lives of many marine species made possible over the last decade by passive acoustic recorders (PAR). Pop-ups, ARF, HARP, EAR, Bprobe, C-POD Atag, and Dtag are the acronyms of some of the many PARs that have changed our understanding of how marine animals live and strive in the ocean. Various types of PARs are used by different investigators in different areas of the world. These recorders have accumulated copious amounts of very important data, unveiling previously unknown information about large marine animals. Temporal, seasonal and spatial distribution patterns have been uncovered for many marine species. There have been many discoveries, new understandings and insights into how these animals live in and utilize the ocean and the importance of acoustics in their lives. Listening Within the Ocean summarizes these important discoveries, providing both a valuable resource for researchers and enjoyable reading for non-professionals interested in marine life.
