Unsupervised Training Approaches Using Genetic Algorithms for Multispectral Image Classification Systems

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Unsupervised Training Approaches Using Genetic Algorithms for Multispectral Image Classification Systems
- role：First author第一作者
- Affiliation：
  School of Computing and Software Engineering Southern Polytechnic State University, Marietta
  HSCaRS, Alabama A& M University
  Graduate School of Educational Measurement & Statistics National Taichung University, Taichung
HUNG Chih-Cheng1
1234567 * ,
- Affiliation：
  School of Computing and Software Engineering Southern Polytechnic State University, Marietta
  HSCaRS, Alabama A& M University
  Graduate School of Educational Measurement & Statistics National Taichung University, Taichung
XIANG Mei1
1234567 * ,
- Affiliation：
  School of Computing and Software Engineering Southern Polytechnic State University, Marietta
  HSCaRS, Alabama A& M University
  Graduate School of Educational Measurement & Statistics National Taichung University, Taichung
Minh Pham1
1234567 * ,
- Affiliation：
  School of Computing and Software Engineering Southern Polytechnic State University, Marietta
  HSCaRS, Alabama A& M University
  Graduate School of Educational Measurement & Statistics National Taichung University, Taichung
KUO Bor-Chen3
1234567 *
Issue 5, Pages: 702-709(2007)
DOI：10.11834/jrs.20070596
Accepted：

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