Sea Ice Images Classification Based on Optimized Deeplabv3+

Author:

Zhang Lan,Wu Jun,Liu Zhenchong,Wang Chuanrui

Publisher

Springer Nature Singapore

Reference20 articles.

1. Zhang, Y., Li, Y.Y., et al.: Overview and trend of the icebreakers. Ship Sci. Technol. 39(23), 188–193 (2017)

2. Zou, B., Jie, S.M., et al.: Shipboard satellite remote semote image processing system and its application in arctic and antarctic scientific expedition. Chin. J. Polar Res. 12(04), 291–300 (2000)

3. Zou, J., Tao, Z., Guo, M., et al.: The study on an Antarctic sea ice identification algorithm of the HY-2A microwave scatterometer data. Acta Oceanologica Sinica -English Edn.- 35(9), 74–79 (2016)

4. Zhang, C.Q., Chen, X.D.: Semantic image segmentation for sea ice parameters recognition using deep convolutional neural networks. Int. J. Appl. Earth Observ. Geoinform. 112, 1569–8432 (2022)

5. Dowden, B., De Silva, O., Huang, W., et al.: Sea ice classification via deep neural network semantic segmentation. IEEE Sens. J. 21(10), 11879–11888 (2020)

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