Title
Tethered Fish Data Collection And Species Classification: Prince William Sound Bottomfish
Abstract
This paper describes the first classification results with the first broadband sonar fish identification system prototype that was built by Scientific Fishery Systems, Inc. Two species of fish and the bottom were used in a set of classifier experiments using two different sets of features echo shape and echo spectra. We will describe where the data was collected, review the data collection methodoloy that was used, and provide a summary of the data that was collected. We will then define the features that were extracted and the classification results that were attained with these features. We will conclude with summary discussion of areas for future work.
Year
DOI
Venue
2004
10.1109/IGARSS.2004.1368690
IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET
Keywords
Field
DocType
broadband, sonar, fish identification, classification
Diversity of fish,Data collection,Information retrieval,Computer science,Remote sensing,Data acquisition,Identification system,Speech recognition,Data collection methodology,Feature extraction,Sonar,Classifier (linguistics)
Conference
ISSN
Citations 
PageRank 
2153-6996
0
0.34
References 
Authors
1
3
Name
Order
Citations
PageRank
Alex B. Kulinchenko101.35
Patrick K. Simpson2142.56
Gerald F. Denny301.01