...的计算机分类技术中，一般常用直接基于原始波段TM4、 TM3、TM2参与，利用最大似然法（MLC，Maximum Likelihood Classification）的监督或无监督分类获得分类 结果。
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...实测的GPS样本点采用混淆矩阵的方法对分类结果进行精度验证,并与传统的最大似然监督分类方法(maximum likelihood classification,MLC)进行对比.
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It concluded that the ISODATA classified precision after the spectrum angle mappingwas higher through comparing the ISODATA classification, minimum distance classification andthe maximum likelihood classification after the spectrum angle mapping with the spectrum anglemapping.
对波谱角分类后的图像进行ISODATA分类、最小距离分类和最大似然分类，与波谱角分类比较，结论是波谱角分类后的ISODATA分类精度较高。
参考来源 - 高光谱混合像元的分解及地物分类的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
In order to improve the classification accuracy of hyperspectral images, a fuzzy maximum likelihood classification method is proposed.
为了提高超谱图像分类的精度，提出了模糊最大似然分类算法。
In comparison with the maximum likelihood classification by field survey data, the classification precision of this model heightens 16%.
结合实地调查数据与最大似然分类算法进行对比实验，表明该模型比最大似然总体分类精度高16%。
Land cover map of classification was generated for major biological conservation areas in Yunnan province using MODIS data and decision tree joined maximum likelihood classifications.
该文主要探讨了如何在生物保护中利用MODIS数据获得区域土地覆被分类信息。
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