Detection and Classification of Early Decay on Blueberry Based on Improved Deep Residual 3D Convolutional Neural Network in Hyperspectral Images
Joint Authors
Zhang, Jun
Qiao, Shicheng
Wang, Qinghu
Pei, Zhili
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-05-20
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Recently, the automatic detection of decayed blueberries is still a challenge in food industry.
Early decay of blueberries happens on surface peel, which may adopt the feasibility of hyperspectral imaging mode to detect decayed region of blueberries.
An improved deep residual 3D convolutional neural network (3D-CNN) framework is proposed for hyperspectral images classification so as to realize fast training, classification, and parameter optimization.
Rich spectral and spatial features can be rapidly extracted from samples of complete hyperspectral images using our proposed network.
This combines the tree structured Parzen estimator (TPE) adaptively and selects the super parameters to optimize the network performance.
In addition, aiming at the problem of few samples, this paper proposes a novel strategy to enhance the hyperspectral image sample data, which can improve the training effect.
Experimental results on the standard hyperspectral blueberry datasets show that the proposed framework improves the classification accuracy compared with AlexNet and GoogleNet.
In addition, our proposed network reduces the number of parameters by half and the training time by about 10%.
American Psychological Association (APA)
Qiao, Shicheng& Wang, Qinghu& Zhang, Jun& Pei, Zhili. 2020. Detection and Classification of Early Decay on Blueberry Based on Improved Deep Residual 3D Convolutional Neural Network in Hyperspectral Images. Scientific Programming،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1209325
Modern Language Association (MLA)
Qiao, Shicheng…[et al.]. Detection and Classification of Early Decay on Blueberry Based on Improved Deep Residual 3D Convolutional Neural Network in Hyperspectral Images. Scientific Programming No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1209325
American Medical Association (AMA)
Qiao, Shicheng& Wang, Qinghu& Zhang, Jun& Pei, Zhili. Detection and Classification of Early Decay on Blueberry Based on Improved Deep Residual 3D Convolutional Neural Network in Hyperspectral Images. Scientific Programming. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1209325
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209325