CycleGAN Coastline Automatic Extraction Method Based on Dual Attention Mechanism

Fig. 5. Experimental data. (a) Original dataset; (b) dataset used in this paper; (c) Google Maps converted into sea-land binarized image by sea-land binarization operation

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Fig. 6. Converted sea-land binarization effect maps (100 pairs of training set)

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Fig. 7. Experimental results of different models (300 pairs of training sets)

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Table 1. Comparison results of MSE, MPA, and MIoU on 35 pairs of training sets and 50 pairs of test sets
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Table 1. Comparison results of MSE, MPA, and MIoU on 35 pairs of training sets and 50 pairs of test sets
Method MSE MPA MIoU
Method one 2648.66 0.8219 0.8956
Method two 2052.87 0.8953 0.9179
Method three 2655.68 0.8922 0.9074
Method four 2047.31 0.9100 0.9241
Method five 1642.98 0.9201 0.9363

Table 2. Comparison results of MSE, MPA, and MIoU on 100 pairs of training sets and 50 pairs of test sets
View table
Table 2. Comparison results of MSE, MPA, and MIoU on 100 pairs of training sets and 50 pairs of test sets
Method MSE MPA MIoU
Method one 4207.07 0.8208 0.8389
Method two 1857.45 0.9013 0.9157
Method three 1323.26 0.9305 0.9384
Method four 1400.98 0.9178 0.9268
Method five 1126.54 0.9258 0.9390

Table 3. Comparison results of MSE, MPA, and MIoU on 200 pairs of training sets and 30 pairs of test sets
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Table 3. Comparison results of MSE, MPA, and MIoU on 200 pairs of training sets and 30 pairs of test sets
Model MSE MPA MIoU
FCN 3685.87 0.9384 0.8608
DeepLab 3761.87 0.9351 0.8736
DAM-CycleGAN 1043.04 0.9310 0.9533

Table 4. Comparison results of MSE, MPA, and MIoU on 300 pairs of training sets and 30 pairs of test sets
View table
Table 4. Comparison results of MSE, MPA, and MIoU on 300 pairs of training sets and 30 pairs of test sets
Model MSE MPA MIoU
FCN 4533.15 0.9259 0.8852
DeepLab 3125.88 0.9453 0.8944
DAM-CycleGAN 946.40 0.9335 0.9568

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Peng Lu, Na Zhang, Guoliang Zou, Zhenhua Wang, Zongsheng Zheng. CycleGAN Coastline Automatic Extraction Method Based on Dual Attention Mechanism[J]. Laser & Optoelectronics Progress, 2022, 59(12): 1210005

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Paper Information

Category: Image Processing

Received: May. 7, 2021

Accepted: Jun. 2, 2021

Published Online: May. 23, 2022

The Author Email: Guoliang Zou (glzou@shou.edu.cn)

DOI:10.3788/LOP202259.1210005

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

Table 1. Comparison results of MSE, MPA, and MIoU on 35 pairs of training sets and 50 pairs of test sets

Table 1. Comparison results of MSE, MPA, and MIoU on 35 pairs of training sets and 50 pairs of test sets

Table 2. Comparison results of MSE, MPA, and MIoU on 100 pairs of training sets and 50 pairs of test sets

Table 2. Comparison results of MSE, MPA, and MIoU on 100 pairs of training sets and 50 pairs of test sets

Table 3. Comparison results of MSE, MPA, and MIoU on 200 pairs of training sets and 30 pairs of test sets

Table 3. Comparison results of MSE, MPA, and MIoU on 200 pairs of training sets and 30 pairs of test sets

Table 4. Comparison results of MSE, MPA, and MIoU on 300 pairs of training sets and 30 pairs of test sets

Table 4. Comparison results of MSE, MPA, and MIoU on 300 pairs of training sets and 30 pairs of test sets