Classification Methods of Remote Sensing Image Based on Gene Expression Programming
LIU Meng-wei
ZENG Guang-hong
YUAN Guo-hui
PEI Ya-bo
YANG Zi-li
Abstract： This paper constructs the GEP classification model and makes the experiment with TM image of Dongguan city in 1997. The result shows that GEP classification model has good classification accuracy and demonstrates GEP algorithm's effectiveness in remote sensing image classification.
Keywords：gene expression programmingremote sensingclassification
Publication Date：2013-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 35-39 )