Web: http://arxiv.org/abs/2007.13083

May 6, 2022, 1:10 a.m. | Rui Li, Chenxi Duan, Shunyi Zheng, Ce Zhang, Peter M. Atkinson

cs.CV updates on arXiv.org arxiv.org

Semantic segmentation of remotely sensed images plays an important role in
land resource management, yield estimation, and economic assessment. U-Net, a
deep encoder-decoder architecture, has been used frequently for image
segmentation with high accuracy. In this Letter, we incorporate multi-scale
features generated by different layers of U-Net and design a multi-scale skip
connected and asymmetric-convolution-based U-Net (MACU-Net), for segmentation
using fine-resolution remotely sensed images. Our design has the following
advantages: (1) The multi-scale skip connections combine and realign semantic
features …

arxiv images segmentation semantic

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