Journal of Applied Optics, Volume. 44, Issue 2, 420(2023)
Automatic detection method of forest diseases and insect pests based on spectral images
Figures & Tables(11)
Fig. 1. Processing flow of forest pests detection based on spectral images
Fig. 2. Comparison of relative spectral reflectance curves between healthy trees and infected trees
Table 1. Comparison of detection rates in different scale disease areas
View tableView in ArticleTable 1. Comparison of detection rates in different scale disease areas
区域大小/像素 检出率/% 大于等于50×50 92.3 大于30×30小于50×50 65.6 小于等于30×30 23.1
Table 2. Comparison between proposed method and mainstream method
View tableView in ArticleTable 2. Comparison between proposed method and mainstream method
模型 图像分辨率/像素 MIoU/% 帧/s ENet [ 20 ]1 024×512 53.1 60.5 ESPNet [ 21 ]1 024×512 56.5 108.3 BiSeNetV2[ 22 ]1 024×512 65.5 152.1 BiSeNetV2-L[ 22 ]1 024×512 68.9 117 STDC1-Seg50[ 23 ]1 024×512 71.1 198.6 STDC2-Seg50[ 23 ]1 024×512 72.3 149.8 本文方法 1 024×512 75.2 137.1
Table 3. Results of ablation experiments
View tableView in ArticleTable 3. Results of ablation experiments
金字塔池化模块 注意力调整模块 MIoU/% 帧/s √ 70.3 156.6 √ 74.5 113.8 √ √ 75.2 137.1
Tools
Get Citation
Copy Citation Text
Xiaoli ZHOU, Lijun ZHOU, Lita YI, Yu LIU. Automatic detection method of forest diseases and insect pests based on spectral images[J]. Journal of Applied Optics, 2023, 44(2): 420
Paper Information
Category: Research Articles
Received: May. 10, 2022
Accepted: --
Published Online: Apr. 14, 2023
The Author Email:
© Copyright 2018-2021 | Chinese Laser Press.
All Rights Reserved 沪ICP备15018463号-20