High-frequency side-scan sonar fish reconnaissance by autonomous underwater vehicles

A dichotomy between depth penetration and resolution as a function of sonar frequency, draw resolution, and beam spread challenges fish target classification from sonar. Moving high-frequency sources to depth using autonomous underwater vehicles (AUVs) mitigates this and also co-locates transducers with other AUV-mounted short-range sensors to allow a holistic approach to ecological surveys. This widely available tool with a pedigree for bottom mapping is not commonly applied to fish reconnaissance and requires the development of an interpretation of pelagic reflective features, revisitation of count methods, image-processing rather than wave-form recognition for automation, and an understanding of bias. In a series of AUV mission test cases, side-scan sonar (600 and 900 kHz) returns often resolved individual school members, spacing, size, behavior, and (infrequently) species from anatomical features and could be intuitively classified by ecologists — but also produced artifacts. Fish often followed the A...

[1]  James F. Lynch,et al.  A Method of Observing Acoustic Scattering and Absorption By Fish Schools Using Autonomous Underwater Vehicles , 2017, IEEE Journal of Oceanic Engineering.

[2]  Geoffroy Lamarche,et al.  Benthic Habitat Mapping , 2016 .

[3]  A. Domingo,et al.  Mobulid ray by-catch in longline fisheries in the south-western Atlantic Ocean , 2015 .

[4]  Jean-Luc Baglinière,et al.  The use of acoustic cameras in shallow waters: new hydroacoustic tools for monitoring migratory fish population. A review of DIDSON technology , 2015 .

[5]  G. Rieucau,et al.  The reaction of a captive herring school to playbacks of a noise-reduced and a conventional research vessel , 2015 .

[6]  Kaycee E. Coleman Understanding the winter flounder (Pseudopleuronectes americanus) Southern New England / Mid-Atlantic stock through historical trawl surveys and monitoring cross continental shelf movement , 2015 .

[7]  Scarla J. Weeks,et al.  Movements and habitat use of reef manta rays off eastern Australia: offshore excursions, deep diving and eddy affinity revealed by satellite telemetry , 2014 .

[8]  K. Able,et al.  Application of Mobile Dual-frequency Identification Sonar (DIDSON) to Fish in Estuarine Habitats , 2014 .

[9]  J. Miquel,et al.  Acoustic detection of mesopelagic fishes in scattering layers of the Balearic Sea (western Mediterranean) , 2014 .

[10]  Nathan M. Bacheler,et al.  Examining the utility of alternative video monitoring metrics for indexing reef fish abundance , 2014 .

[11]  Thomas M. Grothues,et al.  Comparing autonomous underwater vehicle (AUV) and vessel-based tracking performance for locating acoustically tagged fish , 2014 .

[12]  Steven J. Lentz,et al.  Diagnosing the warming of the Northeastern U.S. Coastal Ocean in 2012: A linkage between the atmospheric jet stream variability and ocean response , 2014 .

[13]  Joseph E. Hightower,et al.  A Novel Approach to Surveying Sturgeon Using Side-Scan Sonar and Occupancy Modeling , 2013 .

[14]  G. Davoren Distribution of marine predator hotspots explained by persistent areas of prey , 2013 .

[15]  K. Able,et al.  Fine-scale distribution of pelagic fishes relative to a large urban pier , 2013 .

[16]  Kenneth A. Rose,et al.  Evaluating the performance of individual-based animal movement models in novel environments , 2013 .

[17]  Jan Seiler,et al.  Assessing size, abundance and habitat preferences of the Ocean Perch Helicolenus percoides using a AUV-borne stereo camera system , 2012 .

[18]  Stefan B. Williams,et al.  Regional-scale benthic monitoring for ecosystem-based fisheries management (EBFM) using an autonomous underwater vehicle (AUV) , 2012 .

[19]  Esfandiar Manii AUTONOMOUS TRACKING AND FOLLOWING OF SHARKS WITH AN AUTONOMOUS UNDERWATER VEHICLE , 2012 .

[20]  Orlando Saldivar,et al.  Levy Flight as a Robotic Search Pattern , 2012 .

[21]  Mutlu Mete,et al.  Analysis of density based and fuzzy c-means clustering methods on lesion border extraction in dermoscopy images , 2010, BMC Bioinformatics.

[22]  Thomas M. Grothues,et al.  Collecting, interpreting, and merging fish telemetry data from an AUV: Remote sensing from an already remote platform , 2010, 2010 IEEE/OES Autonomous Underwater Vehicles.

[23]  Simon Lacroix,et al.  Cooperative-adaptive algorithms for targets localization in underwater environment , 2010, 2010 IEEE/OES Autonomous Underwater Vehicles.

[24]  Nicolas E. Humphries,et al.  Environmental context explains Lévy and Brownian movement patterns of marine predators , 2010, Nature.

[25]  S. Powers,et al.  Movement patterns and home ranges of a pelagic carangid fish, Caranx crysos, around a petroleum platform complex , 2010 .

[26]  Sébastien Bourguignon,et al.  Overview of recent progress in fisheries acoustics made by Ifremer with examples from the Bay of Biscay , 2009 .

[27]  Rudy J. Kloser,et al.  An introduction to the proceedings and a synthesis of the 2008 ICES Symposium on the Ecosystem Approach with Fisheries Acoustics and Complementary Technologies (SEAFACTS) , 2009 .

[28]  J. Boucher,et al.  How much fish is hidden in the surface and bottom acoustic blind zones , 2009 .

[29]  James M. Sullivan,et al.  High-frequency acoustics and bio-optics in ecosystems research , 2009 .

[30]  Ariel G. Cabreira,et al.  Artificial neural networks for fish-species identification , 2009 .

[31]  E. Ona,et al.  The use of an adaptive acoustic-survey design to estimate the abundance of highly skewed fish populations , 2009 .

[32]  J. Coetzee,et al.  Zooplankton spatial distribution along the South African coast studied by multifrequency acoustics, and its relationships with environmental parameters and anchovy distribution , 2009 .

[33]  Seafacts 490 dm 1 Schooling pattern of eastern Bering Sea walleye pollock and its impact on fishing behavior , 2009 .

[34]  Ichiro Aoki,et al.  Classification of fish schools based on evaluation of acoustic descriptor characteristics , 2009, Fisheries Science.

[35]  Joseph Dobarro,et al.  Use of a multi-sensored AUV to telemeter tagged Atlantic sturgeon and map their spawning habitat in the Hudson River, USA , 2008, 2008 IEEE/OES Autonomous Underwater Vehicles.

[36]  Kevin M. Boswell,et al.  A Semiautomated Approach to Estimating Fish Size, Abundance, and Behavior from Dual-Frequency Identification Sonar (DIDSON) Data , 2008 .

[37]  Hanumant Singh,et al.  Evaluating the SeaBED AUV for Monitoring Groundfish in Untrawlable Habitat , 2008 .

[38]  E. Harvey,et al.  Bait attraction affects the performance of remote underwater video stations in assessment of demersal fish community structure , 2007 .

[39]  Mathieu Doray,et al.  Joint use of echosounding, fishing and video techniques to assess the structure of fish aggregations around moored Fish Aggregating Devices in Martinique (Lesser Antilles) , 2007 .

[40]  Euan S. Harvey,et al.  Behaviour of temperate and sub-tropical reef fishes towards a stationary SCUBA diver , 2007 .

[41]  Nasser M. Nasrabadi,et al.  Pattern Recognition and Machine Learning , 2006, Technometrics.

[42]  Deanelle T. Symonds,et al.  Fish Population and Behavior Revealed by Instantaneous Continental Shelf-Scale Imaging , 2006, Science.

[43]  Daniel K. Kimura,et al.  Review of Statistical Aspects of Survey Sampling for Marine Fisheries , 2006 .

[44]  Nicholas C. Makris,et al.  Fish Population and Behavior Revealed by Instantaneous Continental Shelf-Scale Imaging , 2006, Science.

[45]  K. I. Yudanov,et al.  Acoustic Fish Reconnaissance , 2006 .

[46]  M. Moline,et al.  Remote Environmental Monitoring Units: An Autonomous Vehicle for Characterizing Coastal Environments* , 2005 .

[47]  M. Lianantonakis,et al.  Sidescan sonar segmentation using active contours and level set methods , 2005, Europe Oceans 2005.

[48]  Steven J. Cooke,et al.  Use of CDMA Acoustic Telemetry to Document 3-D Positions of Fish: Relevance to the Design and Monitoring of Aquatic Protected Areas , 2005 .

[49]  L. Silveira,et al.  Camera trap, line transect census and track surveys: a comparative evaluation , 2003 .

[50]  L. Bolton,et al.  Introduction to the proceedings , 2003 .

[51]  Paul G. Fernandes,et al.  An investigation of avoidance by Antarctic krill of RRS James Clark Ross using the Autosub-2 autonomous underwater vehicle , 2003 .

[52]  Ronald Fedkiw,et al.  Level set methods and dynamic implicit surfaces , 2002, Applied mathematical sciences.

[53]  P.E. Hagen,et al.  The HUGIN 1000 autonomous underwater vehicle for military applications , 2003, Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492).

[54]  Paul G. Fernandes,et al.  Autonomous underwater vehicles: future platforms for fisheries acoustics , 2003 .

[55]  Hanumant Singh,et al.  Optical and acoustic habitat characterization with the Seabed AUV , 2003, Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492).

[56]  D. Palka,et al.  Accounting for responsive movement in line transect estimates of abundance , 2001 .

[57]  Mark V. Trevorrow An evaluation of a steerable sidescan sonar for surveys of near-surface fish , 2001 .

[58]  Tony F. Chan,et al.  Active contours without edges , 2001, IEEE Trans. Image Process..

[59]  P. G. Fernandes,et al.  Oceanography: Fish do not avoid survey vessels , 2000, Nature.

[60]  Mark V. Trevorrow,et al.  Intermediate range fish detection with a 12-kHz sidescan sonar , 1999 .

[61]  A. Bertrand,et al.  In situ acoustic target-strength measurement of bigeye ( Thunnus obesus ) and yellowfin tuna ( Thunnus albacares ) by coupling split-beam echosounder observations and sonic tracking , 1999 .

[62]  Pierre Fréon,et al.  From two dimensions to three: the use of multibeam sonar for a new approach in fisheries acoustics , 1999 .

[63]  S. Fleischman,et al.  Evaluation of side-aspect target strength and pulse width as potential hydroacoustic discriminators of fish species in rivers , 1998 .

[64]  M. Trevorrow,et al.  Detection of Atlantic herring (Clupea harengus) schools in shallow waters using high-frequency sidescan sonars , 1998 .

[65]  J. Nichols,et al.  ESTIMATING SPECIES RICHNESS: THE IMPORTANCE OF HETEROGENEITY IN SPECIES DETECTABILITY , 1998 .

[66]  M. Purcell,et al.  REMUS: a small, low cost AUV; system description, field trials and performance results , 1997, Oceans '97. MTS/IEEE Conference Proceedings.

[67]  M. Trevorrow,et al.  Detection of migrating salmon in the Fraser River using 100-kHz sidescan sonars , 1997 .

[68]  Pierre Fréon,et al.  Analysis of vessel influence on spatial behaviour of fish schools using a multi-beam sonar and consequences for biomass estimates by echo-sounder , 1996 .

[69]  Ole Arve Misund,et al.  Mapping the shape, size, and density of fish schools by echo integration and a high-resolution sonar , 1995 .

[70]  T. Mulligan,et al.  Bias Correction of Rockfish School Cross Section Widths from Digitized Echo Sounder Data , 1993 .

[71]  Stephen T. Buckland,et al.  A robust line transect method , 1992 .

[72]  Pierre Fréon,et al.  Some elements on vertical avoidance of fish schools to a vessel during acoustic surveys , 1992 .

[73]  The Effect of Responsive Movement on Abundance Estimation Using Line Transect Sampling , 1991 .

[74]  B. Worton Kernel methods for estimating the utilization distribution in home-range studies , 1989 .

[75]  E. Ona,et al.  Avoidance reactions of herring to a survey vessel, studied by scanning sonar , 1988 .

[76]  Churchill B. Grimes,et al.  SIDESCAN SONAR AS A TOOL FOR DETECTION OF DEMERSAl FISH HABITATS , 1987 .

[77]  E. Johnson,et al.  The Line Transect Method: A Nonparametric Estimator Based on Shape Restrictions , 1985 .

[78]  S. Buckland Perpendicular distance models for line transect sampling. , 1985, Biometrics.

[79]  Michael Pennington,et al.  Efficient Estimators of Abundance, for Fish and Plankton Surveys , 1983 .

[80]  S. Leatherwood Aerial survey of the bottle nosed dolphin tursiops truncatus and the west indian manatee trichechus manatus in the indian and banana rivers florida usa , 1979 .

[81]  O. Nakken,et al.  Target strength measurements of fish , 1977 .

[82]  C. E. Gates,et al.  Line transect method of estimating grouse population densities. , 1968, Biometrics.