Tensor Robust CUR for Compression and Denoising of Hyperspectral Data
Author:
Affiliation:
1. School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10189858.pdf?arnumber=10189858
Reference65 articles.
1. Reweighted Kernel-Based Nonlinear Hyperspectral Unmixing With Regional ℓ₁-Norm Regularization
2. Extension of PCA to Higher Order Data Structures: An Introduction to Tensors, Tensor Decompositions, and Tensor PCA
3. Small Sample Classification of Hyperspectral Remote Sensing Images Based on Sequential Joint Deeping Learning Model
4. Tensor-tensor algebra for optimal representation and compression of multiway data
5. Fast Orthogonal Projection for Hyperspectral Unmixing
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1. Hyperspectral Image Denoising Based on Deep and Total Variation Priors;Remote Sensing;2024-06-07
2. Lossless and Near-Lossless Compression Algorithms for Remotely Sensed Hyperspectral Images;Entropy;2024-04-05
3. Compression of electrical code violation recognition data using the improved swinging door trending algorithm;Applied Mathematics and Nonlinear Sciences;2024-01-01
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