HEURISTIC CRITERION FOR CLASS RECOGNITION BY SPECTRAL BRIGHTNESS

A. I. Arkhipov; N. M. Glazunov; A. V. Khyzhniak

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HEURISTIC CRITERION FOR CLASS RECOGNITION BY SPECTRAL BRIGHTNESS

机译：光谱亮度分类的启发式判据

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摘要

The authors consider the problem of recognition of a class of objects by the results of multispectral measurements (spectral brightness of signals) and available spectral and statistical characteristics of the given classes. On the basis of probabilistic and statistical considerations, as well as quantization of continuous distributions, the heuristic recognition criterion is proposed. Based on the criterion, the heuristic method of recognition is presented. Modifications of the method are proposed to improve its reliability and efficiency.

机译：作者通过多光谱测量（信号的光谱亮度）的结果以及给定类别的可用光谱和统计特性来考虑识别一类物体的问题。基于概率和统计考虑，以及对连续分布的量化，提出了启发式识别准则。基于该准则，提出了启发式识别方法。提出了对该方法的修改以提高其可靠性和效率。

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来源
《Cybernetics and Systems Analysis》 |2018年第1期|94-98|共5页
作者
A. I. Arkhipov; N. M. Glazunov; A. V. Khyzhniak;
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作者单位

State Institution "Scientific Centre for Aerospace Research of the Earth, Institute of Geological Science, National Academy of Sciences of Ukraine," Kyiv, Ukraine;

National Aviation University, Kyiv, Ukraine,;

State Institution "Scientific Centre for Aerospace Research of the Earth, Institute of Geological Science, National Academy of Sciences of Ukraine," Kyiv, Ukraine;

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收录信息美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
class of recognition objects; probability density function; normal distribution; multivariate density; variance; standard deviation; discrete distribution; alternative hypothesis; heuristic recognition criteria;

机译：识别对象的类别;概率密度函数正态分布多元密度方差;标准偏差离散分布替代假设启发式识别标准;

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专利

1. Criterion Knowledge: A Moderator of Using the Recognition Heuristic? [J] . BENJAMIN E. HILBIG, RUEDIGER F. POHL, ARNDT BROEDER Journal of Behavioral Decision Making . 2009,第5期

机译：标准知识：使用识别启发式的主持人？
2. Distinctiveness and the recognition mirror effect: Evidence for an item-based criterion placement heuristic [J] . Dobbins IG, Kroll NEA Journal of experimental psychology. Learning, memory, and cognition . 2005,第6期

机译：独特性和识别镜像效果：基于项目的标准放置启发式的证据
3. Spectral feature extraction of hyperspectral remote sensing images based on class pair-weighted criterion [J] . Liu Jing, Li Qingyan, Liu Yi Journal of Applied Remote Sensing . 2019,第4期

机译：基于类对加权标准的超光谱遥感图像的光谱特征提取
4. Remote Sensing, Spectral Brightness and Heuristic Criterion for Class Recognition [C] . Alexandr Arkhipov, Nikolaj Glazunov, Anna Khyzhnyak IEEE Microwaves, Radar and Remote Sensing Symposium . 2017

机译：遥感，谱亮度和类识别的启发式标准
5. Multi-classifiers and decision fusion for robust statistical pattern recognition with applications to hyperspectral classification. [D] . Prasad, Saurabh. 2008

机译：多分类器和决策融合，可用于高光谱分类的稳健统计模式识别。
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7. Uniform description of non-Arrhenius temperature dependence of reaction rates, and a heuristic criterion for quantum tunneling vs classical non-extensive distribution [O] . Silva Valter H.C., Aquilanti Vincenzo, de Oliveira Heibbe C.B., 2013

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8. Infrared Spectral Classification with Artificial Neural Networks and Classical Pattern Recognition [R] . Mayfield, H. T. , Eastwood, D. , Burggraf, L. W. 2000

机译：人工神经网络红外光谱分类与经典模式识别

HEURISTIC CRITERION FOR CLASS RECOGNITION BY SPECTRAL BRIGHTNESS

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