Smart Agriculture ›› 2024, Vol. 6 ›› Issue (2): 40-48.doi: 10.12133/j.smartag.SA202310010
• Special Issue--Agricultural Information Perception and Models • Previous Articles Next Articles
ZHANG Jing1(), ZHAO Zexuan1, ZHAO Yanru2, BU Hongchao1, WU Xingyu1
Received:
2023-10-12
Online:
2024-03-30
corresponding author:
Supported by:
ZHANG Jing, ZHAO Zexuan, ZHAO Yanru, BU Hongchao, WU Xingyu. Oilseed Rape Sclerotinia in Hyperspectral Images Segmentation Method Based on Bi-GRU and Spatial-Spectral Information Fusion[J]. Smart Agriculture, 2024, 6(2): 40-48.
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URL: https://www.smartag.net.cn/EN/10.12133/j.smartag.SA202310010
Table 2
Comparative test results of the overall performances of the Bi-GRU model (spectral dimension)
评价指标 | PCA+CNN | LSTM(谱维度) | GRU(谱维度) | ||
---|---|---|---|---|---|
U | Bi | U | Bi | ||
ClassAP(1)/% | 81.6 | 81.2 | 83.4 | 81.7 | 83.9 |
ClassAP(2)/% | 91.5 | 92.1 | 94.1 | 92.3 | 94.7 |
mAP /% | 86.6 | 86.7 | 88.8 | 87.0 | 89.3 |
mIoU /% | 79.4 | 79.5 | 82.0 | 80.1 | 82.6 |
Kappa | 0.77 | 0.77 | 0.80 | 0.79 | 0.84 |
Table 3
Comparative test results of the overall performances of the Bi-GRU model (spatial-spectral dimension)
评价指标 | PCA+CNN | LSTM(空-谱融合) | GRU(空-谱融合) | ||
---|---|---|---|---|---|
U | Bi | U | Bi | ||
ClassAP(1)/% | 81.6 | 84.2 | 88.2 | 84.3 | 88.6 |
ClassAP(2)/% | 91.5 | 95.1 | 98.2 | 95.5 | 98.8 |
mAP /% | 86.6 | 89.7 | 93.2 | 89.9 | 93.7 |
mIoU /% | 79.4 | 82.9 | 85.9 | 83.1 | 86.5 |
Kappa | 0.77 | 0.84 | 0.86 | 0.85 | 0.89 |
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