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Automatic Classification of Noise for Infrared Images into Processes by means of the Principal Component Analysis.

机译：利用主成分分析自动将红外图像噪声分类为过程。

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José Manuel López-alonso; Javier Alda;
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年度 2015
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2. Principal-component characterization of noise for infrared images [J] . Lopez-Alonso JM., Alda J., Bernabeu E. Applied optics . 2002,第2期

机译：红外图像噪声的主成分表征
3. Detection of Fusarium damaged kernels in Canada Western Red Spring wheat using visibleear-infrared hyperspectral imaging and principal component analysis. [J] . Shahin M. A, Symons S. J. Computers and Electronics in Agriculture . 2011,第1期

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4. Automatic Classification of Noise for Infrared Images into Processes by means of the Principal Component Analysis [C] . Jose Manuel Lopez-Alonso, Javier Alda Conference on Infrared and Passive Millimeter-Wave Imaging Systems: Design, Analysis, Modeling, and Testing, Apr 3-5, 2002, Orlando, USA . 2002

机译：基于主成分分析的红外图像噪声自动分类
5. Using principal component analysis for enhancement of multispectral infrared telescope images. [D] . Kirkland, John Scott. 2002

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6. Automatic Classification of Staphylococci by Principal-Component Analysis and a Gradient Method [O] . L. R. Hill, L. G. Silvestri, P. Ihm, 1965

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7. Principal-component characterization of noise for infrared images [O] . López Alonso José Manuel, Alda Javier, Bernabeu Martínez Eusebio 2002

机译：红外图像噪声的主成分表征
8. Enhancement of TEM Data and Noise Characterization by Principal Component Analysis. [R] . Kass, M. A., Li, Y., Krahenbuhl, R., 2010

机译：主成分分析增强TEm数据和噪声表征。

Automatic Classification of Noise for Infrared Images into Processes by means of the Principal Component Analysis.

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