A Graph Regularized Multilinear Mixing Model for Nonlinear Hyperspectral Unmixing
Spectral unmixing of hyperspectral images is an important issue in the fields of remote<br />sensing. Jointly exploring the spectral and spatial information embedded in the data is helpful to<br />enhance the consistency between mixing/unmixing models and real scenarios. This paper propo...
Main Authors: | Minglei Li, Fei Zhu, Alan J.X. Guo, Jie Chen |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-09-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/11/19/2188 |
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