Spectral Unmixing of Hyperspectral Remote Sensing Imagery via Preserving the Intrinsic Structure Invariant

Spectral Unmixing of Hyperspectral Remote Sensing Imagery via Preserving the Intrinsic Structure Invariant

Hyperspectral unmixing, which decomposes mixed pixels into endmembers and corresponding abundance maps of endmembers, has obtained much attention in recent decades. Most spectral unmixing algorithms based on non-negative matrix factorization (NMF) do not explore the intrinsic manifold structure of h...

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Bibliographic Details
Main Authors: Yang Shao, Jinhui Lan, Yuzhen Zhang, Jinlin Zou
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Sensors
Subjects:
spectral unmixing
hyperspectral imagery
intrinsic structure
local window
Online Access:http://www.mdpi.com/1424-8220/18/10/3528

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