Nonlinear Endmember Identification for Hyperspectral Imagery via Hyperpath-Based Simplex Growing and Fuzzy Assessment

Nonlinear geometric manifold of hyperspectral data usually makes great trouble for accurate endmember extraction in literature. To address this issue, we propose a novel nonlinear endmember extraction algorithm by building a hypergraph and a fuzzy assessment strategy. The global change of nonlinear...

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Bibliographic Details

Published in:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors:	Bin Yang, Zhao Chen, Bin Wang
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Subjects:	Endmember extraction fuzzy measures hypergraph hyperspectral imagery manifolds nonlinear spectral unmixing
Online Access:	https://ieeexplore.ieee.org/document/8962263/