Training set size requirements for the classification of a specific class
Training set size requirements for the classification of a specific class
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DOI：
10.1016/j.rse.2006.03.004
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发表时间：
2006-09-15
影响因子：
13.5
通讯作者：
Boyd, Doreen S.
中科院分区：
文献类型：
--
作者：
Foody, Giles M.;Mathur, Ajay;Boyd, Doreen S.
监督分类的训练阶段的设计应考虑要使用的分类器的属性。考虑分类器操作的方式可以使得训练阶段能够以确保分类的目的通过使用小的、便宜的训练集而得到满足的方式来设计。因此，可以从使用标准算法通常预期的训练集大小要求减少训练集大小要求。如果兴趣集中在单个类上，训练集大小的大幅减少是可能的。这说明了映射棉花在印度西北部的支持向量机类型分类器。使用了四种减少训练集大小的方法：智能选择信息量最大的训练样本、选择性类别排除、接受光谱不同类别的不精确描述以及采用一类分类器。所有四种方法都能够减少所需的训练集大小，大大低于传统的广泛使用的分类方法所建议的训练集大小，而不会对感兴趣的类别分类的准确性产生显着影响。例如，从传统启发式建议的训练集大小减少了90%，而棉花分类的准确性几乎保持不变，分别从用户和生产者的角度来看，分别为95%和97%。(c)2006年爱思唯尔公司All rights reserved.
The design of the training stage of a supervised classification should account for the properties of the classifier to be used. Consideration of the way the classifier operates may enable the training stage to be designed in a manner which ensures that the aim of the classification is satisfied with the use of a small, inexpensive, training set. It may, therefore, be possible to reduce the training set size requirements from that generally expected with the use of standard heuristics. Substantial reductions in training set size may be possible if interest is focused on a single class. This is illustrated for mapping cotton in north-western India by support vector machine type classifiers. Four approaches to reducing training set size were used: intelligent selection of the most informative training samples, selective class exclusion, acceptance of imprecise descriptions for spectrally distinct classes and the adoption of a one-class classifier. All four approaches were able to reduce the training set size required considerably below that suggested by conventional widely used heuristics without significant impact on the accuracy with which the class of interest was classified. For example, reductions in training set size of similar to 90% from that suggested by a conventional heuristic are reported with the accuracy of cotton classification remaining nearly constant at similar to 95% and similar to 97% from the user's and producer's perspectives respectively. (c) 2006 Elsevier Inc. All rights reserved.