PSO-based automatic relevance determination and feature selection system for hyperspectral image classification

被引：12

作者：

Zhang, Xiangrong ^{[1
]}

Wang, Wenna ^{[1
]}

Li, Yangyang ^{[1
]}

Jiao, L. C. ^{[1
]}

机构：

[1] Xidian Univ, Key Lab Intelligent Percept & Image Understanding, Minist Educ, Xian 710071, Peoples R China

来源：

ELECTRONICS LETTERS | 2012年 / 48卷 / 20期

基金：

中国国家自然科学基金;

关键词：

D O I：

10.1049/el.2012.0539

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Based on the particle swarm optimisation algorithm, an ARD-FS system integrating the automatic relevance determination (ARD) and the feature selection (FS) for a Gaussian process classifier (GPC) is proposed. The ARD-FS system aims to reduce the complexity of the GPC and simultaneously improve the classification accuracy. It is applied to the hyperspectral images and experimental results demonstrate its good performance for hyperspectral image classification even with very limited labelled samples but high-dimensional features.

引用

页码：1258 / +

页数：2

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