Refined segmentation method based on U-ASPP-Net for Arctic independent sea ice

1.University of Chinese Academy of Sciences, Beijing 100049 China;2.Key Laboratory of Infrared System Detection and Imaging Technology, Shanghai Institute of Technical Physics, Chinese Academy of Sciences,Shanghai 200083, China

Clc Number:


Fund Project:

Supported by National Natural Science Foundation of China (31970378), the Water Conservancy Science and Technology Project of Jiangsu Province (2020068), and Shanghai Municipal Science and Technology Major Project (2017SHZDZX01)

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments

    Based on the characteristics of the FY-3 MERSI II images, an algorithm of independent sea ice segmentation based on U-ASPP-Net is proposed. The algorithm introduces the Atrous Spatial Pyramid Pooling module and Atrous Depthwise Separable Convolution on the basis of U –Net to develop a new independent sea ice segmentation network U-ASPP-Net. Meanwhile, FDWloss is used as the loss function at the back end of the network. Finally, the overlap elimination strategy is used to generate the final independent sea ice segmentation map. In order to verify the accuracy and effectiveness of U-ASPP-Net, U-Net, Deeplab v3+ and partition gradient difference and bimodal threshold segmentation method are selected as control methods for experiments. The experimental results show that the independent sea-ice fine segmentation method based on U-ASPP-NET is superior to the other methods in the four indexes of OA, Kappa coefficient, IOU, Dice coefficient. It has a strong ability to extract details and edges, and has a high degree of reduction to tiny sea ice. In addition, this algorithm can solve the problem of thin cloud interference that cannot be solved when extracting independent sea ice based on medium-resolution remote sensing images to a certain extent. It still has a good ability to extract sea ice under thin clouds and can provide more accurate technical support for the dynamic planning of the Arctic route.

    Cited by
Get Citation

ZHENG Fu-Qiang, KUANG Ding-Bo, HU Yong, GONG Cai-Lan, HUANG Shuo, LI Lan, HE Zhi-Jie. Refined segmentation method based on U-ASPP-Net for Arctic independent sea ice[J]. Journal of Infrared and Millimeter Waves,2021,40(6):798~808

Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
  • Received:January 28,2021
  • Revised:December 14,2021
  • Adopted:March 24,2021
  • Online: November 29,2021
  • Published: