Super-Resolution Mapping Based on Spatial-Spectral Correlation for Spectral Imagery

Due to the influences of imaging conditions, spectral imagery can be coarse and contain a large number of mixed pixels. These mixed pixels can lead to inaccuracies in the land-cover class (LC) mapping. Super-resolution mapping (SRM) can be used to analyze such mixed pixels and obtain the LC mapping...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2021-03, Vol.59 (3), p.2256-2268
Hauptverfasser:	Wang, Peng, Wang, Liguo, Leung, Henry, Zhang, Gong
Format:	Artikel
Sprache:	eng
Schlagworte:	Correlation Distance Errors Euclidean distance Euclidean geometry Imagery Imaging Imaging techniques Kullback–Leibler distance (KLD) Land cover Mapping Methods mixed spatial attraction model (MSAM) Optimization Pixels Probability density function Properties Properties (attributes) Resolution Resource management spatial–spectral correlation (SSC) Spectra Spectral correlation spectral imagery super-resolution mapping (SRM)
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