Wang, Maosen and Zell, Andreas

Classification of natural landmark with biosonar

Journal of the Acoustical Society of America vol. 116 (2004), no. 4, pp. 2640


Abstract

Echolocating bats can make nocturnal flights in acoustically cluttered environments with the use of echolocation. Their marvelous ability to evaluate natural targets in complete darkness provides us an opportunity to learn target detection, classification, and identification with similar biomimetic platforms. In this work, natural landmark classification with a binaural system, a sequential sensing strategy, and a frequency after reconstruction algorithm are adopted to provide sequential acoustic images for target classification. Experimental results suggest that considerable improvements in classification accuracy can be achieved by the use of this sequential classification method.


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BibTeX

@article{2004_142,
  author = {Wang, Maosen and Zell, Andreas},
  title = {Classification of natural landmark with biosonar},
  journal = {Journal of the Acoustical Society of America},
  year = {2004},
  volume = {116},
  pages = {2640},
  number = {4},
  month = oct,
  abstract = {Echolocating bats can make nocturnal flights in acoustically cluttered
	environments with the use of echolocation. Their marvelous ability
	to evaluate natural targets in complete darkness provides us an opportunity
	to learn target detection, classification, and identification with
	similar biomimetic platforms. In this work, natural landmark classification
	with a binaural system, a sequential sensing strategy, and a frequency
	after reconstruction algorithm are adopted to provide sequential
	acoustic images for target classification. Experimental results suggest
	that considerable improvements in classification accuracy can be
	achieved by the use of this sequential classification method.},
  url = {http://link.aip.org/link/?JASMAN/116/2640/1}
}