A Fine-Grained River Ice Semantic Segmentation based on Attentive Features and Enhancing Feature Fusion

Author:

Wang Rui1,Zheng Chengyu1,Jiang Yanru1,Wang Zhaoxin1,Ye Min1,Wang Chenglong1,Song Ning1,Nie Jie1

Affiliation:

1. Ocean University of China, CN

Funder

the National Natural Science Foundation of China

the Fundamental Research Funds for the Central Universities

the Major Scientific and Technological Innovation Project

Publisher

ACM

Reference26 articles.

1. Dangerous ice phenomena on the lowland rivers of European Russia

2. Jia , H. , Chen , F. , & Pan , D. 2019. Disaster chain analysis of avalanche and landslide and the river blocking dam of the Yarlung Zangbo River in Milin County of Tibet on 17 and 29 October 2018 . International journal of environmental research and public health, 16(23), 4707. Jia, H., Chen, F., & Pan, D. 2019. Disaster chain analysis of avalanche and landslide and the river blocking dam of the Yarlung Zangbo River in Milin County of Tibet on 17 and 29 October 2018. International journal of environmental research and public health, 16(23), 4707.

3. Estimation of the Dependence of Ice Phenomena Trends on Air and Water Temperature in River

4. Effective SAR sea ice image segmentation and touch floe separation using a combined multi-stage approach

5. Dang , X. , Wu , Y. , Fan , W. , & Zhang , S. 2016 , July. Discussion on sea ice segmentation of high resolution radar data . In 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 4861-4864) . IEEE. Dang, X., Wu, Y., Fan, W., & Zhang, S. 2016, July. Discussion on sea ice segmentation of high resolution radar data. In 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 4861-4864). IEEE.

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