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Land Cover Classification from Remote Sensing Images Based on Multi-Scale Fully Convolutional Network

Computer Vision and Pattern Recognition 2022-04-26 v2 Artificial Intelligence Image and Video Processing
Authors: Rui Li , Shunyi Zheng , Chenxi Duan , Ce Zhang
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Abstract

In this paper, a Multi-Scale Fully Convolutional Network (MSFCN) with multi-scale convolutional kernel is proposed to exploit discriminative representations from two-dimensional (2D) satellite images.

Keywords

remote sensing

Cite

@article{arxiv.2008.00168,
  title  = {Land Cover Classification from Remote Sensing Images Based on Multi-Scale Fully Convolutional Network},
  author = {Rui Li and Shunyi Zheng and Chenxi Duan and Ce Zhang},
  journal= {arXiv preprint arXiv:2008.00168},
  year   = {2022}
}

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