Mapping impervious surfaces with a hierarchical spectral mixture analysis incorporating endmember spatial distribution

Mapping impervious surfaces with a hierarchical spectral mixture analysis incorporating endmember spatial distribution

ABSTRACTImpervious surface mapping is essential for urban environmental studies. Spectral Mixture Analysis (SMA) and its extensions are widely employed in impervious surface estimation from medium-resolution images. For SMA, inappropriate endmember combinations and inadequate endmember classes have...

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Bibliographic Details
Main Authors: Zhenfeng Shao, Yuan Zhang, Cheng Zhang, Xiao Huang, Tao Cheng
Format: Article
Language:English
Published: Taylor & Francis Group 2022-10-01
Series:Geo-spatial Information Science
Subjects:
Impervious surface
Spectral Mixture Analysis(SMA)
hierarchical strategy
endmember class
spatially varied endmember spectra
Online Access:https://www.tandfonline.com/doi/10.1080/10095020.2022.2028535

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