Researching | Air-to-Ground Target Detection Algorithm Based on DenseNet and Channel Attention Mechanism

Laser & Optoelectronics Progress, Volume. 57, Issue 22, 221010(2020)

Air-to-Ground Target Detection Algorithm Based on DenseNet and Channel Attention Mechanism

Wenqing Wang¹, Lin Feng¹, Yang Liu^1、*, Dongfang Yang², and Meng Zhang²

Author Affiliations

¹College of Automation, Xi'an University of Posts & Telecommunications, Xi'an, Shaanxi 710121, China;

²College of Missile Engineering, Rocket Force University of Engineering, Xi'an, Shaanxi 710025, China

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Figures & Tables(7)

Fig. 1. Structure diagram of Dense block

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Fig. 2. Structure of SENet

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Fig. 3. Structure diagram of SE-DenseSSD algorithm

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Fig. 4. Sample images in the data set

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Fig. 5. Training curves of different algorithms

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Fig. 6. Test results of different algorithms. (a) VGG-SSD; (b) DenseSSD; (c) SE-DenseSSD

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Table 1. Model parameters and mAP obtained by different algorithms
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Table 1. Model parameters and mAP obtained by different algorithms
Algorithm mAP/% Parameter/ MB
VGG-SSD 36.53 101
DenseSSD 38.36 17
SE-DenseSSD 39.97 21

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Wenqing Wang, Lin Feng, Yang Liu, Dongfang Yang, Meng Zhang. Air-to-Ground Target Detection Algorithm Based on DenseNet and Channel Attention Mechanism[J]. Laser & Optoelectronics Progress, 2020, 57(22): 221010

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Paper Information

Category: Image Processing

Received: Feb. 7, 2020

Accepted: Apr. 13, 2020

Published Online: Nov. 11, 2020

The Author Email: Yang Liu (yyangbrand@163.com)

DOI:10.3788/LOP57.221010

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology