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author:

Lin, Hongji (Lin, Hongji.) [1] | Lin, Han (Lin, Han.) [2] | Chen, Weibin (Chen, Weibin.) [3]

Indexed by:

CPCI-S EI Scopus

Abstract:

With the rapid development of digital graphic recognition technology, in recent years, more attention is given to the subject of animal and plant species identification which has become a popular researching field. The article mainly discusses about the method to apply graphic analyzing technology for bird identification research in the case of acquatic bird protection in the marsh of Minjiang River estuary. It also put forward a set of classification case with SVM Decision Tree for protesting information through deep analysis and study on bird color graph [ 2] in terms of shape, color and texture. The case takes on many advantages such as, excellent classification capacity, firm Over-generalization and accurate classification, which help to solve the disturbing classification problem lasting for many years. Moreover, the appearance of the case contributes to the effective recognition and classification of 15 birds species in Minjiang River estuary wetland. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Conference ESIAT2011 Organization Committee.

Keyword:

Classification Decision tree of SVM feature extraction Recognition of bird species

Community:

  • [ 1 ] [Lin, Hongji]Wu Yi Univ, Wuyi 354300, Fujian, Peoples R China
  • [ 2 ] [Lin, Han]Fuzhou Univ, Fujian 350002, Peoples R China
  • [ 3 ] [Chen, Weibin]Fuzhou Univ, Fujian 350002, Peoples R China

Reprint 's Address:

  • [Lin, Hongji]Wu Yi Univ, Wuyi 354300, Fujian, Peoples R China

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Source :

2011 3RD INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND INFORMATION APPLICATION TECHNOLOGY ESIAT 2011, VOL 10, PT C

ISSN: 1878-0296

Year: 2011

Volume: 10

Page: 2478-2483

Language: English

Cited Count:

WoS CC Cited Count: 1

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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