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...

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Bibliographic Details
Main Authors: Minglei Li, Fei Zhu, Alan J.X. Guo, Jie Chen
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/11/19/2188