Hyperspectral Unmixing via Double Abundance Characteristics Constraints Based NMF

Hyperspectral Unmixing via Double Abundance Characteristics Constraints Based NMF

Hyperspectral unmixing aims to obtain the hidden constituent materials and the corresponding fractional abundances from mixed pixels, and is an important technique for hyperspectral image (HSI) analysis. In this paper, two characteristics of the abundance variables, namely, the local spatial structu...

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Bibliographic Details
Main Authors: Rong Liu, Bo Du, Liangpei Zhang
Format: Article
Language:English
Published: MDPI AG 2016-05-01
Series:Remote Sensing
Subjects:
hyperspectral unmixing
mixed pixels
abundance smoothness
selected local neighborhood
nonnegative matrix factorization (NMF)
Online Access:http://www.mdpi.com/2072-4292/8/6/464

Internet

http://www.mdpi.com/2072-4292/8/6/464

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