基于Fisher分数的视场特征提取性能评价

F. .. Baulin, E. V. Buryi
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引用次数: 1

摘要

本文介绍了距离轮廓特征提取的性能估计技术。该技术适用于在对物体的观察方向有先验知识的情况下获得距离轮廓的情况。通过提取过程提供的特征向量集的可分性来评价特征提取的性能。结果表明,在观察方向已知的情况下,Fisher分数可以作为可分性的度量。比较了基于傅里叶变换和小波变换的特征提取方法。提供的建模结果显示了基于Fisher分数的可分性估计与AUC ROC分类性能估计之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance Estimate of Range Profile Feature Extraction for the Case of Defined Viewing Aspect by Means of Fisher Score
In this article performance estimation technique of range profile feature extraction is described. This technique is suitable for the cases when range profiles are acquired with an a priori knowledge of viewing aspect of an object. The feature extraction performance is estimated by separability of feature vector sets provided by the procedure of extraction. It is shown that in case of know viewing aspect, Fisher score could be used as a measure of separability. Comparison of Fourier transform based and wavelet transform based feature extractions is provided. Provided modelling results shows relation between Fisher score-based estimate of separability and AUC ROC classification performance estimate.
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