Paper Info
Title
Iterative Enhanced Multivariance Products Representation for Effective Compression of Hyperspectral Images
Abstract
Effective compression of hyperspectral (HS) images is essential due to their large data volume. Since these images are high dimensional, processing them is also another challenging issue. In this work, an efficient lossy HS image compression method based on enhanced multivariance products representation (EMPR) is proposed. As an efficient data decomposition method, EMPR enables us to represent the...
Year
DOI
Venue
2021
10.1109/TGRS.2020.3031016
IEEE Transactions on Geoscience and Remote Sensing
Keywords
DocType
Volume
Image coding,Support vector machines,Tensors,Transform coding,Hyperspectral imaging,Principal component analysis,Iterative methods
Journal
59
Issue
ISSN
Citations 
11
0196-2892
1
PageRank 
References 
Authors
0.35
0
6
Name
Order
Citations
PageRank
Suha Tuna110.35
B. Ugur Toreyin2353.18
Metin Demiralp3335.48
Jinchang Ren4114488.54
Huimin Zhao520623.43
Stephen Marshall6353.22