Application of Blind Sources Separation in plant leaves classification

This paper discussed the application of Blind Sources Separation (BSS) in plant leaves classification. Firstly, collection of two different types of plant leaves was performed using the Nexus-870 Fourier transform infrared spectroscopy, and wavelet analysis was adopted to compress the immense sample...

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Veröffentlicht in:	2012 10th World Congress on Intelligent Control and Automation (WCICA S. 4174 - 4179
Hauptverfasser:	Wu Ying, Guo Tian-tai, Jiang Jie-wei
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.07.2012
Schlagworte:	Accuracy Algorithm design and analysis Blind sources separation (BSS) BP neural network Classification algorithms near infrared (NIR) spectroscopy Neural networks Plant leaves Spectroscopy Training wavelet analysis Wavelet transforms
ISBN:	9781467313971, 1467313971
Online-Zugang:	Volltext
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