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Volumn 5, Issue 1, 2011, Pages 1-9

Identification of wheat classes at different moisture levels using near-infrared hyperspectral images of bulk samples

Author keywords

Near infrared hyperspectral imaging; Statistical classifiers; Wheat classes

Indexed keywords

BULK SAMPLES; CLASSIFICATION ACCURACY; FIRST PRINCIPAL COMPONENTS; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL IMAGING; HYPERSPECTRAL IMAGING SYSTEMS; INDIUM GALLIUM ARSENIDE; LINEAR DISCRIMINANT ANALYSIS; MOISTURE CONTENTS; MOISTURE LEVEL; NEAR INFRA RED; NEAR-INFRARED HYPERSPECTRAL IMAGING; NIR CAMERA; NIR WAVELENGTH; PRINCIPAL COMPONENTS ANALYSIS; QUADRATIC DISCRIMINANT ANALYSIS; SCANNED IMAGES; SPECTRAL FEATURE; STATISTICAL CLASSIFICATION; STATISTICAL CLASSIFIERS; WAVELENGTH REGIONS; WHEAT CLASSES;

EID: 79955941911     PISSN: 19327587     EISSN: 19329954     Source Type: Journal    
DOI: 10.1007/s11694-010-9104-2     Document Type: Article
Times cited : (47)

References (35)
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  • 29
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.