CDANet:SAR

Zhe Wang1, Hong Zhang2, Zihuan Guo1

  • 1Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China; International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China; University of Chinese Academy of Sciences, Beijing 100049, China.

PubMed
概括

本研究引入了新的数据集和上下文详细感知网络 (CDANet),用于使用合成孔径雷达 (SAR) 数据检测海洋石油泄漏,提高检测准确性和概括性,以更好地响应环境.