Analysis of Classify Remote Sensing Images Based on Artificial Bee Colony Algorithm

被引：0

作者：

Chen, Jing ^{[1
]}

Huang, Hongmei ^{[1
]}

Wang, Xiaoxuan ^{[1
]}

Wu, Yujing ^{[1
]}

机构：

[1] Gangdong Univ Technol, Huali Coll, Gangzhou, Zengcheng, Peoples R China

来源：

2018 4TH INTERNATIONAL CONFERENCE ON EDUCATION, MANAGEMENT AND INFORMATION TECHNOLOGY (ICEMIT 2018) | 2018年

关键词：

artificial bee colony; bio-inspired computing; remote sensing; classification; feature selection; multiple classifier system;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper proposed the feature selection and optimization of support vector machine parameters based on artificial bee colony algorithm. The goal of algorithm is to improve the classification rate and reduce the number of features. The proposed algorithm is validated on the UCI database. The result show that the proposed algorithm has the ability of feature selection and it can improve the classification rate obviously. Compared with other algorithms, the proposed algorithm is more efficient in feature selection and classification.

引用

页码：1292 / 1296

页数：5

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