In order to combine feature extraction operations with specific hyperspectral remote sensing information processing objectives,two aspects of feature extraction were explored. Based on clustering and decision tree alg...In order to combine feature extraction operations with specific hyperspectral remote sensing information processing objectives,two aspects of feature extraction were explored. Based on clustering and decision tree algorithm,spectral absorption index (SAI),continuum-removal and derivative spectral analysis were employed to discover characterized spectral features of different targets,and decision trees for identifying a specific class and discriminating different classes were generated. By combining support vector machine (SVM) classifier with different feature extraction strategies including principal component analysis (PCA),minimum noise fraction (MNF),grouping PCA,and derivate spectral analysis,the performance of feature extraction approaches in classification was evaluated. The results show that feature extraction by PCA and derivate spectral analysis are effective to OMIS (operational modular imaging spectrometer) image classification using SVM,and SVM outperforms traditional SAM and MLC classifiers for OMIS data.展开更多
OMIS（Operation Manage Information System，运行管理信息系统）作为国航的核心生产系统之一，机务管理子系统作为OMIS的核心子系统，其承担着国航飞机资源的管理和调配工作，为国航的机务工程部门提供统一的生产平台，本文章就该系...OMIS（Operation Manage Information System，运行管理信息系统）作为国航的核心生产系统之一，机务管理子系统作为OMIS的核心子系统，其承担着国航飞机资源的管理和调配工作，为国航的机务工程部门提供统一的生产平台，本文章就该系统中，主要的机务功能：维修计划、保留控制、飞机限制条件、航班排班计划、数据统计、生产指令、外站管理等功能做一介绍。展开更多
基金Projects 40401038 and 40871195 supported by the National Natural Science Foundation of ChinaNCET-06-0476 by the Program for New Century Excellent Talents in University20070290516 by the Specialized Research Fund for the Doctoral Program of Higher Education
文摘In order to combine feature extraction operations with specific hyperspectral remote sensing information processing objectives,two aspects of feature extraction were explored. Based on clustering and decision tree algorithm,spectral absorption index (SAI),continuum-removal and derivative spectral analysis were employed to discover characterized spectral features of different targets,and decision trees for identifying a specific class and discriminating different classes were generated. By combining support vector machine (SVM) classifier with different feature extraction strategies including principal component analysis (PCA),minimum noise fraction (MNF),grouping PCA,and derivate spectral analysis,the performance of feature extraction approaches in classification was evaluated. The results show that feature extraction by PCA and derivate spectral analysis are effective to OMIS (operational modular imaging spectrometer) image classification using SVM,and SVM outperforms traditional SAM and MLC classifiers for OMIS data.
文摘OMIS（Operation Manage Information System，运行管理信息系统）作为国航的核心生产系统之一，机务管理子系统作为OMIS的核心子系统，其承担着国航飞机资源的管理和调配工作，为国航的机务工程部门提供统一的生产平台，本文章就该系统中，主要的机务功能：维修计划、保留控制、飞机限制条件、航班排班计划、数据统计、生产指令、外站管理等功能做一介绍。
