Implementation and evaluation distributed mixed pixels analysis algorithm for hyperspectral image based on constraint non-negative matrix factorization-Reference-Cited by-同舟云学术

Implementation and evaluation distributed mixed pixels analysis algorithm for hyperspectral image based on constraint non-negative matrix factorization

Published:2019-07-16 Issue:3 Volume:35 Page:365-375
ISSN:1744-5760
Container-title:International Journal of Parallel, Emergent and Distributed Systems
language:en
Short-container-title:International Journal of Parallel, Emergent and Distributed Systems

Author:

Wang Ying¹²^ORCID,Jiang Qiuping³,Zhou Qian⁴,Kong Yunfeng⁵^ORCID

Affiliation:

1. Institute of Intelligence Networks System, Henan University, Kaifeng, People’s Republic of China

2. Henan Experimental Teaching Demonstration Centre of Modern Network Technology, Henan University, Kaifeng, People’s Republic of China

3. School of Software, Henan University, Kaifeng, People’s Republic of China

4. Art Department, Yellow River Conservancy Technical Institute, Kaifeng, People’s Republic of China

5. College of Environment and Planning, Henan University, Kaifeng, People’s Republic of China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Henan Province Science and Technology Department

Henan Postdoctoral Science Found

Publisher

Informa UK Limited

Subject

Computer Networks and Communications,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/17445760.2019.1632844

Reference21 articles.

1. Hierarchical classifier design in high-dimensional numerous class cases

2. Hyperspectral image data analysis

3. Vertex component analysis: a fast algorithm to unmix hyperspectral data

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