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The modified clonal selection algorithm applied to the remote sensing image information extracting

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成果类型:
期刊论文
作者:
Ling Cheng-xing*;Zhang Huai-qing;Lin-Hui
通讯作者:
Ling Cheng-xing
作者机构:
[Ling Cheng-xing; Zhang Huai-qing] CAF, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China.
[Lin-Hui; Ling Cheng-xing] CSUFT, Res Ctr Forest Remote Sensing & Informat Engn, Changsha 410004, Peoples R China.
通讯机构:
[Ling Cheng-xing] C
CAF, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China.
语种:
英文
关键词:
M-CLONALG;CLONALG;Remote sensing (RS);Information extracting;Classification;Artificial intelligence algorithm
期刊:
Proceedings of the 2009 WRI Global Congress on Intelligent Systems, GCIS 2009
年:
2009
卷:
2
页码:
94-102
基金类别:
national science & technology program in the 11th five-year plan period "Research on Techniques of Wetland Resources Monitoring and Evaluating [2006BAD23B03]
机构署名:
本校为其他机构
院系归属:
林学院
摘要:
Clonal Selection Algorithm is one of the important artificial intelligence algorithms, which used as a powerful information processing and problem-solving paradigm in both the scientific and engineering fields. However, few studies concern application of CLONALG method in information extracting of satellite image. In this paper, we suggest modified Clonal Selection Algorithm (M-CLONALG) improved by niche technology's sharing function and memory calculator technique applying to remote sensing (RS) image information extracting. In order to testify the correctness that M-CLONALG improves the stab...

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