Researching | Infrared aerial image overhead wire identification algorithm based on improved Deeplabv3+

Infrared and Laser Engineering, Volume. 51, Issue 11, 20220112(2022)

Infrared aerial image overhead wire identification algorithm based on improved Deeplabv3+

Zhaohui Li and Gezi Kou^*

Author Affiliations

School of Communication, Xi'an University of Science and Technology, Xi'an 710600, China

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Figures&Tables (10)

References (28)

Paper Information

Figures & Tables(10)

Fig. 1. Structure diagram of Deeplabv3+ network

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Fig. 2. Schematic of Triplet Attention

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Fig. 3. Residual network improvement comparison chart

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Fig. 4. Structure diagram of ResNet-TA network

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Fig. 5. Structure diagram of ResNet-FPN

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Fig. 6. Structure diagram of improved Deeplabv3+

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Fig. 7. Sample original image and label image

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Fig. 8. Comparison chart of experimental results

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Table 1. Experimental platform parameter settings
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Table 1. Experimental platform parameter settings
Experiment platform Model parameters
Operating system Ubuntu18.4
CPU I9-12900 KF 3.2 GHz
GPU RTX2070 S 8 GB
Graphics card 12 G
Frame Pytorch
Programming language Pyhton

Table 2. Experiment results metrics
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Table 2. Experiment results metrics
Method MPA MIOU
Deeplabv3+ 92.91% 86.79%
Proposed algorithm 93.52% 87.83%

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Zhaohui Li, Gezi Kou. Infrared aerial image overhead wire identification algorithm based on improved Deeplabv3+[J]. Infrared and Laser Engineering, 2022, 51(11): 20220112

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Paper Information

Category: Infrared technology and application

Received: Apr. 10, 2022

Accepted: --

Published Online: Feb. 9, 2023

The Author Email: Gezi Kou (517873652@qq.com)

DOI:10.3788/IRLA20220112

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology