吉林大学学报（理学版）2017，Vol.55Issue(2)：376-378,3.DOI:10.13413/j.cnki.jdxblxb.2017.02.31
一种基于图像熵的密度峰值聚类波段选择方法
A Method for Density Peaks Clustering Band Selection Based on Image Entropy
摘要
Abstract
Based on the introduction of image entropy into the density peaks clustering algorithm to determine the information quantity of spectral band, we proposed a method for density peaks clustering band selection based on image entropy.By constructing the measuring score of bands significance,we solved the problem of the band selection in the traditional density peaks clustering method without considering the information quantity of the bands.The experimental results show that the classification accuracy of the proposed method increases by an average of 2.12% than that of the traditional density peaks clustering method.关键词
波段选择/图像熵/高光谱遥感/密度峰值聚类Key words
band selection (BS )/image entropy/hyperspectral remote sensing/density peak clustering (DPC)分类
信息技术与安全科学引用本文复制引用
赵海士,路来君,杨晨..一种基于图像熵的密度峰值聚类波段选择方法[J].吉林大学学报（理学版）,2017,55(2):376-378,3.基金项目
国家重点基础研究发展计划 973 项目基金(批准号:2015CB453000)、国家自然科学基金(批准号:61572228 （批准号:2015CB453000）
61272207 （）
11403049)和吉林省科技发展计划项目(批准号:20160101247JC （）
20140520070JH). （）
