Spectral–spatial classification of hyperspectral images using deep convolutional neural networks-Reference-Cited by-同舟云学术

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Spectral–spatial classification of hyperspectral images using deep convolutional neural networks

Published:2015-05-20 Issue:6 Volume:6 Page:468-477
ISSN:2150-704X
Container-title:Remote Sensing Letters
language:en
Short-container-title:Remote Sensing Letters

Author:

Yue Jun,Zhao Wenzhi,Mao Shanjun,Liu Hui

Funder

Mega–projects of Science Research for the 12nd Five-year Plan

National High Technology Research and Development Program of China

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)

Link

http://www.tandfonline.com/doi/pdf/10.1080/2150704X.2015.1047045

Reference14 articles.

1. Representation Learning: A Review and New Perspectives

2. Hyperspectral Remote Sensing Data Analysis and Future Challenges

3. Chen, X., S. Xiang, C.L. Liu, and C.H. Pan. 2014. “Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks.”IEEE Geoscience and Remote Sensing Letters11 (10): 1797–1801. doi:10.1109/LGRS.2014.2309695.

4. Chen, Y., Z. Lin, X. Zhao, G. Wang, and G. Yanfeng. 2014. “Deep Learning-Based Classification of Hyperspectral Data.”IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing7 (6): 2094–2107. doi:10.1109/JSTARS.2014.2329330.

5. Learning Hierarchical Features for Scene Labeling

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