Image classification by support vector machines

Yanning Zhang, Rongchun Zhao, Yee Leung

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

6 Scopus citations

Abstract

In this paper, support vector machines are used to classify plane targets on a binary remote sensing. The experiment results have shown that support vector machines can generalize well on difficult image classification problems where the only features are high dimensional binary values. Moreover, we observed that the range of the binary values of image affect the performance of classification results.

Original languageEnglish
Title of host publicationProceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001
Pages360-363
Number of pages4
StatePublished - 2001
Event2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001 - Hong Kong, Hong Kong
Duration: 2 May 20014 May 2001

Publication series

NameProceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001

Conference

Conference2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001
Country/TerritoryHong Kong
CityHong Kong
Period2/05/014/05/01

Keywords

  • Image classification
  • Remote sensing
  • Support vector machines

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