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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/35962


    Title: Greedy modular eigenspaces and positive Boolean function for supervised hyperspectral image classification
    Authors: Chang,YL;Han,CC;Fan,KC;Chen,KS;Chen,CT;Chang,JH
    Contributors: 太空及遙測研究中心
    Keywords: STACK FILTERS;MORPHOLOGICAL FILTERS;REDUCTION
    Date: 2003
    Issue Date: 2010-07-07 15:55:00 (UTC+8)
    Publisher: 中央大學
    Abstract: This paper presents a new supervised classification technique for hyperspectral imagery, which consists of two algorithms, referred to as the greedy modular eigenspace (GME) and the positive Boolean function (PBF). The GME makes use of the data correlatio
    Relation: OPTICAL ENGINEERING
    Appears in Collections:[太空及遙測研究中心] 期刊論文

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