郑州大学学报（理学版）2026，Vol.58Issue(1)：72-77,6.DOI:10.13705/j.issn.1671-6841.2024111
面向高光谱遥感图像的MMRI-Boruta特征选择算法
MMRI-Boruta Feature Selection Algorithm for Hyperspectral Remote Sensing Images
摘要
Abstract
The objective of hyperspectral remote sensing image feature selection was to choose the optimal subset of spectral features from a high-dimensional set,thereby eliminating redundancy and enhancing the efficiency and accuracy of image analysis.A hybrid feature selection algorithm named MMRI-Boruta was proposed.The filter-based MRI feature selection algorithm was initially enhanced by incorporating a new feature importance evaluation metric for MMRI-Boruta.Subsequently,the wrapper-based Boruta algo-rithm was employed to further optimize the feature subset.The strengths of both filter and wrapper algo-rithms were combined for the proposed feature selection algorithm,making it easier to obtain the optimal feature subset.To verify the effectiveness,two classical hyperspectral remote sensing image datasets,In-dian Pines and Salinas,were used for testing.Experimental results demonstrated that the proposed algo-rithm outperformed the comparison algorithms.关键词
高光谱遥感图像/特征选择/互信息/相关性/熵Key words
hyperspectral remote sensing image/feature selection/mutual information/relevance/entropy分类
信息技术与安全科学引用本文复制引用
张婧,孔霄,曹峰,张超,李德玉..面向高光谱遥感图像的MMRI-Boruta特征选择算法[J].郑州大学学报（理学版）,2026,58(1):72-77,6.基金项目
国家自然科学基金项目(62472269,62072291,62072294,62272284) （62472269,62072291,62072294,62272284）
