MACU-Net Semantic Segmentation from High-Resolution Remote Sensing Images

26 Jul 2020 Rui Li Chenxi Duan Shunyi Zheng

Semantic segmentation of remote sensing images plays an important role in land resource management, yield estimation, and economic assessment. U-Net is a sophisticated encoder-decoder architecture which has been frequently used in medical image segmentation and has attained prominent performance... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper