DocumentCode :
2123176
Title :
Tethered fish data collection and species classification: Prince William Sound bottomfish
Author :
Kulinchenko, Alexander B. ; Simpson, Patrick K. ; Denny, Gerald F.
Author_Institution :
Sci. Fishery Syst. Inc., Anchorage, AK, USA
Volume :
2
fYear :
2004
fDate :
20-24 Sept. 2004
Firstpage :
1439
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. The author would describe where the data was collected, review the data collection methodology that was used, and provide a summary of the data that was collected. The author would then define the features that were extracted and the classification results that were attained with these features. The author would conclude with summary discussion of areas for future work.
Keywords :
aquaculture; data acquisition; echo; feature extraction; oceanographic regions; reviews; sonar detection; underwater sound; Prince William Sound bottomfish; Scientific Fishery Systems, Inc; broadband sonar fish identification system prototype; data collection methodology review; echo shape; echo spectra; feature extraction; tethered fish species classification; Aquaculture; Data mining; Feature extraction; Fuzzy neural networks; Gears; Marine animals; Prototypes; Shape; Sonar; Whales;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Print_ISBN :
0-7803-8742-2
Type :
conf
DOI :
10.1109/IGARSS.2004.1368690
Filename :
1368690
Link To Document :
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