Identification of rapeseed varieties based on hyperspectral imagery
Identification of rapeseed varieties by using hyperspectral imaging technique combined with artificial neural network (ANN) was proposed. Hyperspectral images of several rapeseed varieties in range 400-1 000 nm were acquired, and then the principal component analysis (PCA) was performed to select th...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Zhejiang University Press
2011-03-01
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| Series: | 浙江大学学报. 农业与生命科学版 |
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| Online Access: | https://www.academax.com/doi/10.3785/j.issn.1008-9209.2011.02.009 |
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| author | ZOU Wei FANG Hui ZHOU Kang-yun BAO Yi-dan HE Yong 何勇 |
| author_facet | ZOU Wei FANG Hui ZHOU Kang-yun BAO Yi-dan HE Yong 何勇 |
| author_sort | ZOU Wei |
| collection | DOAJ |
| description | Identification of rapeseed varieties by using hyperspectral imaging technique combined with artificial neural network (ANN) was proposed. Hyperspectral images of several rapeseed varieties in range 400-1 000 nm were acquired, and then the principal component analysis (PCA) was performed to select three optimal band images. The texture parameters were extracted from the optimal band images based on gray level histogram and gray level co-occurrence matrix (GLCM) statistical methods. The ANN model was used for the identification of rapeseed varieties. Detection results of ANN model showed that the discriminating rates of rapeseed varieties in the training and prediction sets were 93.75% and 91.67%, respectively. It is indicated that the hyperspectral imaging technology has a good classification and identification effects on rapeseed varieties. |
| format | Article |
| id | doaj-art-e9818bd7654c478988d4ecf53f4f471e |
| institution | DOAJ |
| issn | 1008-9209 2097-5155 |
| language | English |
| publishDate | 2011-03-01 |
| publisher | Zhejiang University Press |
| record_format | Article |
| series | 浙江大学学报. 农业与生命科学版 |
| spelling | doaj-art-e9818bd7654c478988d4ecf53f4f471e2025-08-20T03:16:10ZengZhejiang University Press浙江大学学报. 农业与生命科学版1008-92092097-51552011-03-013717518010.3785/j.issn.1008-9209.2011.02.00910089209Identification of rapeseed varieties based on hyperspectral imageryZOU WeiFANG HuiZHOU Kang-yunBAO Yi-danHE Yong何勇Identification of rapeseed varieties by using hyperspectral imaging technique combined with artificial neural network (ANN) was proposed. Hyperspectral images of several rapeseed varieties in range 400-1 000 nm were acquired, and then the principal component analysis (PCA) was performed to select three optimal band images. The texture parameters were extracted from the optimal band images based on gray level histogram and gray level co-occurrence matrix (GLCM) statistical methods. The ANN model was used for the identification of rapeseed varieties. Detection results of ANN model showed that the discriminating rates of rapeseed varieties in the training and prediction sets were 93.75% and 91.67%, respectively. It is indicated that the hyperspectral imaging technology has a good classification and identification effects on rapeseed varieties.https://www.academax.com/doi/10.3785/j.issn.1008-9209.2011.02.009image processinghyperspectral imageryvariety identificationprincipal component analysisrapeseed |
| spellingShingle | ZOU Wei FANG Hui ZHOU Kang-yun BAO Yi-dan HE Yong 何勇 Identification of rapeseed varieties based on hyperspectral imagery 浙江大学学报. 农业与生命科学版 image processing hyperspectral imagery variety identification principal component analysis rapeseed |
| title | Identification of rapeseed varieties based on hyperspectral imagery |
| title_full | Identification of rapeseed varieties based on hyperspectral imagery |
| title_fullStr | Identification of rapeseed varieties based on hyperspectral imagery |
| title_full_unstemmed | Identification of rapeseed varieties based on hyperspectral imagery |
| title_short | Identification of rapeseed varieties based on hyperspectral imagery |
| title_sort | identification of rapeseed varieties based on hyperspectral imagery |
| topic | image processing hyperspectral imagery variety identification principal component analysis rapeseed |
| url | https://www.academax.com/doi/10.3785/j.issn.1008-9209.2011.02.009 |
| work_keys_str_mv | AT zouwei identificationofrapeseedvarietiesbasedonhyperspectralimagery AT fanghui identificationofrapeseedvarietiesbasedonhyperspectralimagery AT zhoukangyun identificationofrapeseedvarietiesbasedonhyperspectralimagery AT baoyidan identificationofrapeseedvarietiesbasedonhyperspectralimagery AT heyong identificationofrapeseedvarietiesbasedonhyperspectralimagery AT héyǒng identificationofrapeseedvarietiesbasedonhyperspectralimagery |