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Comparison of Singular Value Decomposition and Principal Component Analysis applied to Hyperspectral Imaging of biofilm

机译：奇异值分解和主成分分析在生物膜高光谱成像中的比较

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Different degrees of bacterial attachment to various surface morphologies observed by Hyperspectral Imaging Method are studied. Fore-ground and back-ground distinction performed by Singular Value Decomposition and Principal Component Analysis is also discussed.

机译：研究了通过高光谱成像方法观察到的不同程度的细菌附着于各种表面形态。还讨论了通过奇异值分解和主成分分析进行的前台和后台区分。

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《IEEE Photonics Conference;IPC》|2012年|p.6- 7|共2页
会议地点 Burlingame, CA(US);Burlingame, CA(US)
作者
Le, Hanh N. D.; Kim, Moon S.; Kim, Do-Hyun;
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U. S. Food and Drug Administration 10903 New Hampshire Ave. Silver Spring MD 20993 USA;

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4. Comparison of Singular Value Decomposition and Principal Component Analysis applied to Hyperspectral Imaging of biofilm [C] . Le Hanh N. D., Kim Moon S., Kim Do-Hyun IEEE Photonics Conference . 2012

机译：奇异值分解的比较和应用于生物膜高光谱成像的基础分解
5. Accelerating Truncated Singular-value Decomposition: A Fast and Provable Method for Robust Principal Component Analysis [D] . Cai, HanQin. 2018

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6. Mining Gene Expression Profiles: An Integrated Implementation of Kernel Principal Component Analysis and Singular Value Decomposition [O] . Ferran Reverter, Esteban Vegas, Pedro Sánchez 2010

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7. Multiscale 2-D Singular Spectrum Analysis and Principal Component Analysis for Spatial–Spectral Noise-Robust Feature Extraction and Classification of Hyperspectral Images [O] . Ping Ma, Jinchang Ren, Huimin Zhao, 2021

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8. Feature Extraction Using Principal and Independent Component Analysis for Hyperspectral Imagery [R] . Koo, R. 2007

机译：基于主成分和独立分量分析的高光谱图像特征提取

Comparison of Singular Value Decomposition and Principal Component Analysis applied to Hyperspectral Imaging of biofilm

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