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Hyperspectral image classification with SVM and guided filter

Published:2019-03-08 Issue:1 Volume:2019 Page:
ISSN:1687-1499
Container-title:EURASIP Journal on Wireless Communications and Networking
language:en
Short-container-title:J Wireless Com Network

Author:

Guo Yanhui,Yin Xijie,Zhao Xuechen,Yang Dongxin,Bai Yu^ORCID

Funder

Open Research Fund of Shandong Provincial Key Laboratory Of Infectious Disease Control and Prevention

the Science and Technology Project for the Universities of Shandong Province

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Signal Processing

Link

http://link.springer.com/content/pdf/10.1186/s13638-019-1346-z.pdf

Reference25 articles.

1. A.F.H. Goetz, Three decades of hyperspectral remote sensing of the earth: A personal view. Remote Sens. Environ. 113, S5–S16 (2009)

2. G.P. Petropoulos, C. Kalaitzidis, K. Prasad Vadrevu, Support vector machines and object-based classification for obtaining land-use/cover cartography from Hyperion hyperspectral imagery. Comput. Geosci. 41(2), 99–107 (2012)

3. R.L. Lawrence, S.D. Wood, R.L. Sheley, Mapping invasive plants using hyperspectral imagery and Breiman cutler classifications (RandomForest). Remote Sens. Environ. 100(3), 356–362 (2006)

4. L.M. Dale, A. Thewis, C. Boudry, et al., Hyperspectral imaging applications in agriculture and agro-food product quality and safety control: A review. Appl. Spectrosc. Rev. 48(2), 142–159 (2013)

5. L. Bruzzone, R. Cossu, A multiple-cascade-classifier system for a robust and partially unsupervised updating of land-cover maps. IEEE Trans. Geosci. Remote Sens. 40(9), 1984–1996 (2002)

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