A novel integrated PCA and FLD method on hyperspectral image feature extraction for cucumber chilling damage inspection

Transactions of the American Society of Agricultural Engineers

Volumn 47, Issue 4, 2004, Pages 1313-1320

  Cheng, X ^a   Chen, Y R ^b   Tao, Y ^a   Wang, C Y ^b   Kim, M S ^b   Lefcourt, A M ^b  

^a UNIVERSITY OF MARYLAND   (United States)

^b AGRICULTURAL RESEARCH SERVICE   (United States)

Author keywords

Classification; Dimensionality reduction; Feature extraction; FLD; Hyperspectral imaging; Hyperspectral sensing; PCA; Principal component

Indexed keywords

DATA MINING; FRUITS; IMAGE PROCESSING; IMAGING TECHNIQUES; INSPECTION; PRINCIPAL COMPONENT ANALYSIS;

DATA FUSING; HYPERSPECTRAL IMAGING (HSI); WAVEBAND;

FEATURE EXTRACTION;

PRECISION AGRICULTURE;

CUCUMIS SATIVUS; MARTES PENNANTI;

EID: 6344220314     PISSN: 00012351     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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