Application of Hyperspectral Image Classification Based on Overlap Pooling-Reference-Cited by-同舟云学术

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Application of Hyperspectral Image Classification Based on Overlap Pooling

Published:2018-06-27 Issue:3 Volume:49 Page:1335-1354
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Gao Hongmin,Lin Shuo,Li Chenming,Yang Yao

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities

Projects in the National Science & Technology Pillar Program during the Twelfth Five-year Plan Period

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

http://link.springer.com/content/pdf/10.1007/s11063-018-9876-7.pdf

Reference31 articles.

1. Benediktsson JA, Ghamisi P (2015) Spectral–spatial classification of hyperspectral remote sensing images. Artech House, Boston

2. Du Q, Zhang L, Zhang B, Tong X, Du P, Chanussot J (2013) Foreword to the special issue on hyperspectral remote sensing: theory, methods, and applications. IEEE J Sel Top Appl Earth Observ Remote Sens 6(2):459–465

3. Younan N, Aksoy S, King R (2012) Foreword to the special issue on pattern recognition in remote sensing. IEEE J Sel Top Appl Earth Observ Remote Sens 5(5):1331–1334

4. Chang C-I (2013) Hyperspectral data processing: algorithm design and analysis. Wiley, New York

5. Blanzieri E, Melgani F (2008) Nearest neighbor classification of remote sensing images with the maximal margin principle. IEEE Trans Geosci Remote Sens 46(6):1804–1811

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