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

页码：3050 / 3053

页数：4

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