Combinatorial Nonnegative Matrix-Tensor Factorization for Hyperspectral Unmixing Using a General $\ell _{q}$ Norm Regularization-Reference-Cited by-同舟云学术

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Combinatorial Nonnegative Matrix-Tensor Factorization for Hyperspectral Unmixing Using a General $\ell _{q}$ Norm Regularization

Published:2024 Issue: Volume:17 Page:9533-9548
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Gholinejad Saeid¹^ORCID,Amiri-Simkooei Alireza²^ORCID

Affiliation:

1. Department of Geomatics Engineering, Faculty of Civil Engineering and Transportation, University of Isfahan, Isfahan, Iran

2. Department of Control and Operations, Faculty of Aerospace Engineering, Delft University of Technology, Delft, The Netherlands

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4609443/10330207/10506592.pdf?arnumber=10506592

Reference51 articles.

1. Spectral unmixing

2. A Review of Nonlinear Hyperspectral Unmixing Methods

3. Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches

4. Deep Learning in Hyperspectral Unmixing: A Review

5. A Practical Approach for Hyperspectral Unmixing Using Deep Learning

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