Multi-source remote sensing image classification based on two-channel densely connected convolutional networks-Reference-Cited by-同舟云学术

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Multi-source remote sensing image classification based on two-channel densely connected convolutional networks

Published:2020 Issue:6 Volume:17 Page:7353-7377
ISSN:1551-0018
Container-title:Mathematical Biosciences and Engineering
language:en
Short-container-title:

Author:

Song Haifeng, ,Yang Weiwei,Dai Songsong,Yuan Haiyan,

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modeling and Simulation,General Medicine

Link

http://www.aimspress.com/article/10.3934/mbe.2020376/pdf

Reference8 articles.

1. 359-367]

2. A. Merentitis, C. Debes, R. Heremans, Ensemble learning in hyperspectral image

3. C. Debes, A. Merentitis, R. Heremans, J. Hahn, N. Frangiadakis, T. van Kasteren, et al., Hyperspectral and lidar data

4. C. Chen, X. Fan, C. Zheng, L. Xiao, M. Cheng, C. Wang,

5. J. Leng, T. Li, G. Bai, Q. Dong, D. Han.

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