충남대학교산학협력단;THE INDUSTRY & ACADEMIC COOPERATION IN CHUNGNAM NATIONAL UNIVERSITY (IAC)
发明人:
CHO BYOUNG KWAN,조병관
申请号：
KR1020180173424
公开号：
KR1021120880000B1
申请日:
2018.12.31
申请国别(地区):
KR
年份:
2020
代理人:
摘要：
The present invention relates to a method for selecting a high-quality seed of a cypress tree using hyperspectral image technology. The method comprises: a step of measuring a spectrum for a cypress tree seed by hyperspectral image photographing to obtain spectrum data； a step of exposing the cypress tree seed which has undergone the spectrum measurement to running water, and then performing a germination test to inspect a germination status； a step of preprocessing the obtained spectrum data to prevent the spectrum data from being contaminated by a noise signal generated during hyperspectral image photographing； a step of distinguishing seeds that have germinated from those that have not for cypress tree seeds from the spectrum data which have undergone the preprocessing step by using principal component analysis and partial least squares-discriminant analysis； and a step of using an analysis technique of variable importance on projection to analyze an absorption wavelength range for determining the germination status of a cypress tree seed to obtain an absorption wavelength region. According to the present invention, spectrum data are obtained by hyperspectral image photographing. The spectrum data are preprocessed and multivariate analysis is performed on the spectrum data. The germination status of a cypress tree seed is determined and verified based on analysis results of the spectrum data to quickly diagnose the germination status of the cypress tree seed by nondestructive inspection and accurately select a high-quality seed.COPYRIGHT KIPO 2020본 발명은 초분광영상기술을 이용한 편백나무 우량종자 선별방법에 관한 것으로서, 편백나무 종자에 대해 초분광 영상 촬영으로 스펙트럼 측정하여 스펙트럼 데이터를 획득하는 단계； 상기 스펙트럼 측정을 마친 편백나무 종자에 대해 흐르는 물에 노출시킨 후, 발아 테스트를 실시하여 발아 여부를 검사하는 단계； 상기 획득한 스펙트럼 데이터에 대해 초분광 영상 촬영시 발생되는 노이즈 신호에 의해 오염되지 않도록 전처리하는 단계； 상기 전처리단계를 거친 스펙트럼 데이터로부터 주성분 분석기법(Principal Component Analysis)과 다변량 통계분석기법(Partial Least Squares-Discriminant Analysis)을 활용하여 편백나무 종자에 대해 발아 종자와 비발아 종자를 분별하는 단계； VIP(Variable Importance on
