Binary Tree Genetic Algorithm with quadtree for land cover classifications

被引：0
|
作者：
Ng, SC [1 ]
Leung, KS [1 ]
机构：
[1] Chinese Univ Hong Kong, Dept Comp Sci & Engn, Shatin, Hong Kong, Peoples R China
来源：
IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET | 2004年
关键词：
D O I：
暂无
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
Enhanced Binary Tree Genetic Algorithm (BTGA+) has been successfully applied to land cover classification problems. However, the execution time of BTGA+ is quite long on large datasets. In this paper. a novel decision tree algorithm, called Binary Tree Genetic Algorithm with Quadtree (BTGA with Quadtree) is proposed by extending BTGA+. In the proposed algorithm. a generalized quadtree is constructed when a new node of a linear decision tree is, created. The proposed algorithm runs faster than BTGA+ on datasets with sufficiently large number of samples. without sacrificing the quality of decision trees constructed by BTGA+.
引用
收藏
页码：3050 / 3053
页数：4
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