A review of deep learning methods for semantic segmentation of remote sensing imagery

作者：

Highlights：

• Summarize deep learning methods for semantic segmentation of remote sensing images.

• Identify three major challenges faced by researchers.

• Summarize the innovative development to address them.

摘要

•Summarize deep learning methods for semantic segmentation of remote sensing images.•Identify three major challenges faced by researchers.•Summarize the innovative development to address them.

论文关键词：Semantic image segmentation,Deep neural networks,Remote sensing imagery

论文评审过程：Received 3 June 2020, Revised 8 November 2020, Accepted 29 November 2020, Available online 14 December 2020, Version of Record 16 December 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114417