Title
The correlation-based tucker decomposition for hyperspectral image compression
Abstract
•We first proposed the importance of factor matrices in compression performance.•We thoroughly discuss about correlation and factor matrix in this paper.•We propose our correlation-based Tucker decomposition method.•The proposed method can be directly used in most Tucker-based methods.
Year
DOI
Venue
2021
10.1016/j.neucom.2020.08.073
Neurocomputing
Keywords
DocType
Volume
Correlation,Hyperspectral image compression,Tucker decomposition (TD)
Journal
419
ISSN
Citations 
PageRank 
0925-2312
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Rui Li120959.97
Zhibin Pan227637.59
Yang Wang352.76
Ping Wang41012.69