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

Add code
Aug 01, 2020
Rui Li, Shunyi Zheng, Chenxi Duan
Figure 1 for Land Cover Classification from Remote Sensing Images Based on Multi-Scale Fully Convolutional Network
Figure 2 for Land Cover Classification from Remote Sensing Images Based on Multi-Scale Fully Convolutional Network
Figure 3 for Land Cover Classification from Remote Sensing Images Based on Multi-Scale Fully Convolutional Network
Figure 4 for Land Cover Classification from Remote Sensing Images Based on Multi-Scale Fully Convolutional Network

Share this with someone who'll enjoy it:

Twitter IconFacebook IconLinkedin IconWhatsapp IconMessenger Icon

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.

View paper onarxiv icon

Share this with someone who'll enjoy it:

Twitter IconFacebook IconLinkedin IconWhatsapp IconMessenger Icon