Intelligent Classification Method of Remote Sensing Image Based on Big Data in Spark Environment-Reference-Cited by-同舟云学术

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Intelligent Classification Method of Remote Sensing Image Based on Big Data in Spark Environment

Published:2019-07-06 Issue:3 Volume:26 Page:183-192
ISSN:1068-9605
Container-title:International Journal of Wireless Information Networks
language:en
Short-container-title:Int J Wireless Inf Networks

Author:

Xing Zhichao,Li Guangming

Funder

Shandong Provincial Natural Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture

Link

http://link.springer.com/content/pdf/10.1007/s10776-019-00440-z.pdf

Reference20 articles.

1. B. Min and R. C. C. Cheung, A Fast CU Size decision algorithm for the HEVC Intra Encoder, IEEE Transactions on Circuits and Systems for Video Technology., Vol. 25, No. 5, pp. 892–896, 2015.

2. L. Gao, J. Li, M. Khodadadzadeh, et al., Subspace-basedsupport vector machines for hyperspectral image classifica-tion, IEEE Geoscience & Remote Sensing Letters, Vol. 12, No. 2, pp. 349–353, 2015.

3. W. Hu, Y. Huang, L. Wei, et al., Deep convolutional neuralnetworks for hyperspectral image classification, Journal of Sensors, Vol. 2, pp. 1–12, 2015.

4. L. Li, J. Yao, X. Lu, J. Tu and J. Shan, Optimal seamline detection for multiple image mosaicking via graph cuts, ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 113, pp. 1–16, 2016.

5. Y. Zhang, B. Wang, Z. Zhang, Y. Duan, Y. Zhang, M. Sun and S. Ji, Fully automatic generation of geoinformation products with chinese zy-3 satellite imagery, Photogram Rec, Vol. 148, pp. 383–401, 2014.

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