Fu-Qiang ZHENG, Ding-Bo KUANG, Yong HU, Cai-Lan GONG, Shuo HUANG, Lan LI, Zhi-Jie HE. Refined segmentation method based on U-ASPP-Net for Arctic independent sea ice[J]. Journal of Infrared and Millimeter Waves, 2021, 40(6): 798
- Journal of Infrared and Millimeter Waves
- Vol. 40, Issue 6, 798 (2021)
Fig. 1. Location of research distribution （a）Independent sea ice distribution between narrow waterways bordering land，（b）independent sea ice distribution under thin ice disturbance，（c）normal independent sea ice distribution，（d）independent sea ice distribution under thin cloud disturbance
Fig. 2. Architecture of U-ASPP-Net
Fig. 3. Architecture of ASPP
Fig. 4. Convolution process of atrous depthwise separable convolution
Fig. 5. Schematic diagram of overlapping edge elimination strategy
Fig. 6. Schematic diagram of experimental data （a）schematic of data，（b）schematic of label
Fig. 7. Thumbnails of test set （a）Normal independent sea ice distribution, （b）independent sea ice distribution under thin ice disturbance, （c-d）independent sea ice distribution under thin cloud disturbance, （e）independent sea ice distribution between narrow waterways bordering land
Fig. 8. The changing trend of each indicator under different overlaps
Fig. 9. Independent sea ice segmentation results by different methods （a）Images to be segmented, （b）manually interpreted images, （c）U-ASPP-Net, （d）U-Net, （e）Deeplab v3+, （f）partition gradient difference and bimodal threshold segmentation algorithm
Fig. 10. Comparison of ability to resist interference of thin cloud and sea ice （a）Images to be segmented, （b）Manually interpreted images, （c）U-ASPP-Net, （d）U-Net, （e）Deeplab v3+, （f）partition gradient difference and bimodal threshold segmentation algorithm
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Table 1. Performance indicators of MERSI-Ⅱ
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Table 2. Channel characteristics of sea ice datasets
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Table 3. Distribution of independent sea ice datasets
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Table 4. Confusion matrix
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Table 5. Comparison of independent sea ice segmentation accuracies of U-ASPP-NET model based on different loss function
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Table 6. Comparison of accuracies for segmentation of independent sea ice with different methods
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