Combining feature extractions and classifiers for multispectral data classification

Bor Chen Kuo, Li-Wei Ko, Jinn Min Yang, Chia Hao Pai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this paper, a new sequential feature extraction and classification algorithm is proposed for improving the classification accuracy of reject region data.

Original languageEnglish
Title of host publication2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages73-75
Number of pages3
ISBN (Electronic)0780383508, 9780780383500
DOIs
StatePublished - 1 Jan 2004
Event2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data - Greenbelt, United States
Duration: 27 Oct 200328 Oct 2003

Publication series

Name2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data

Conference

Conference2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data
CountryUnited States
CityGreenbelt
Period27/10/0328/10/03

Keywords

  • multispectral data classification
  • regularized feature extraction
  • reject region

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