TITLE:
A Comprehensive Evaluation of PAN-Sharpening Algorithms Coupled with Resampling Methods for Image Synthesis of Very High Resolution Remotely Sensed Satellite Data
AUTHORS:
Shridhar D. Jawak, Alvarinho J. Luis
KEYWORDS:
PAN-Sharpening; WorldView-2; Resampling Methods
JOURNAL NAME:
Advances in Remote Sensing,
Vol.2 No.4,
December
16,
2013
ABSTRACT: The merging of a panchromatic (PAN) image with a multispectral
satellite image (MSI) to increase the spatial resolution of the MSI, while
simultaneously preserving its spectral information is classically referred as
PAN-sharpening. We employed a recent dataset derived from very high resolution of WorldView-2
satellite (PAN and MSI) for two test sites (one over an urban area and the
other over Antarctica), to comprehensively evaluate the performance of six existing
PAN-sharpening algorithms. The algorithms under consideration were the
Gram-Schmidt (GS), Ehlers fusion (EF), modified hue-intensity-saturation
(Mod-HIS), high pass filtering (HPF), the Brovey transform (BT), and
wavelet-based principal component analysis (W-PC). Quality assessment of the
sharpened images was carried out by using 20 quality indices. We also analyzed
the performance of nearest neighbour (NN), bilinear interpolation (BI), and
cubic convolution (CC) resampling methods to test their practicability in the
PAN-sharpening process. Our results indicate that the comprehensive performance
of PAN-sharpening methods decreased in the following order: GS > W-PC >
EF > HPF > Mod-HIS > BT, while resampling methods followed the order:
NN > BI > CC.