Spectroscopy and Spectral Analysis, Volume. 42, Issue 9, 2931(2022)
Hyperspectral Detection of Soybean Heart-Eating Insect Pests Based on Image Retrieval
Figures & Tables(4)
Fig. 2. Hyperspectral images of soybean samples
(a): Normal soybean; (b): Soybean with egg;(c): Soybean with larvae; (d): Gnawed soybean
Table 1. Detection results of different classification models in 4-way 5-shot
View tableView in ArticleTable 1. Detection results of different classification models in 4-way 5-shot
小样本学习模型 特征提取模型 学习率 5-shot准确率/% MAML Resnet18 0.01 60.05±0.50 MN Resnet18 0.01 77.65±0.50 3D-RN Resnet18 0.01 82.50±1.50
Table 2. Retrieval performance under different loss functions
View tableView in ArticleTable 2. Retrieval performance under different loss functions
损失函数 预训练模型 学习率 准确率/% 交叉熵损失 Resnet18-K
Resnet18-KM0.01 75.0±1.00
74.5±1.00DSHSD[ 10 ]Resnet18-K
Resnet18-KM0.01 81.0±1.00
81.5±1.50DH[ 7 ]Resnet18-K
Resnet18-KM0.01 78.5±1.00
79.5±1.00DSH[ 8 ]Resnet18-K
Resnet18-KM0.01 80.5±0.50
81.5±1.00CSQ[ 11 ]Resnet18-K
Resnet18-KM0.01 79.0±1.00
80.0±1.00DCH[ 6 ]Resnet18-K
Resnet18-KM0.01 85.5±1.00
86.0±1.00
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Jiang-sheng GUI, Jie HE, Xia-ping FU. Hyperspectral Detection of Soybean Heart-Eating Insect Pests Based on Image Retrieval[J]. Spectroscopy and Spectral Analysis, 2022, 42(9): 2931
Paper Information
Category: Research Articles
Received: Jul. 21, 2021
Accepted: Oct. 25, 2021
Published Online: Nov. 17, 2022
The Author Email: GUI Jiang-sheng (jsgui@zstu.edu.cn)
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