CAJ | 학술논문

在二叉划分树的基础上提出一种应用多维尺度分析的合并准则。该算法对高光谱图像分析后建立区域模型，利用多维尺度分析各个区域模型的相似性，移除冗余信息对局部降维，对所得数据关联测量确定其关联性后，进行区域合并，形成二叉划分树的树形结构，利用修剪函数对所得二叉划分树进行修剪，完成分类。实验结果表明，该算法应用于高光谱图像分类具有较好的分类效果。
재이차화분수적기출상제출일충응용다유척도분석적합병준칙。해산법대고광보도상분석후건립구역모형，이용다유척도분석각개구역모형적상사성，이제용여신식대국부강유，대소득수거관련측량학정기관련성후，진행구역합병，형성이차화분수적수형결구，이용수전함수대소득이차화분수진행수전，완성분류。실험결과표명，해산법응용우고광보도상분류구유교호적분류효과。
A merging criterion used multidimensional scaling on the basis of binary partition trees algorithm has been pro-posed. It builds regional models after an analysis on hyperspectral image, uses multidimensional scaling on the similari-ties of each regional model, reduces dimensions by removing redundant information, determines relevance by association measure on obtained data, and forms a BPT tree structure through regional merging. The pruning function is used to prune this tree structure on classification step. And the experimental conclusion demonstrates that it obtains a better effect for hyperspectral image classification.