海洋湖沼学报（英文版）2026，Vol.44Issue(4)：1342-1357,16.DOI:10.1007/s00343-025-5218-6
Enhancing sea ice classification on SAR imagery by integrating texture and polarimetric information with a deep learning model
Enhancing sea ice classification on SAR imagery by integrating texture and polarimetric information with a deep learning model
Lichen GAO1
作者信息
- 1. Shandong University of Science and Technology,Qingdao 266590,China
- 折叠
摘要
关键词
synthetic aperture radar(SAR)image/sea ice classification/gray-level co-occurrence matrix(GLCM)/U-Net/deep learningKey words
synthetic aperture radar(SAR)image/sea ice classification/gray-level co-occurrence matrix(GLCM)/U-Net/deep learning引用本文复制引用
Lichen GAO..Enhancing sea ice classification on SAR imagery by integrating texture and polarimetric information with a deep learning model[J].海洋湖沼学报（英文版）,2026,44(4):1342-1357,16.
