Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7766
Title: Unsharp Masking Based Pansharpening of High Resolution Satellite Imagery
Authors: Teke, Mustafa
San, Ezgi
Koç, Ezgi
Keywords: Gokturk-2
Unsharp
pansharpening
HPF
HCS
Issue Date: 2018
Publisher: IEEE
Source: 26th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 02-05, 2018 -- Izmir, TURKEY
Series/Report no.: Signal Processing and Communications Applications Conference
Abstract: Pan sharpening is a pixel-level fusion technique for increasing the spatial resolution of low-resolution multi-spectral satellite imagery using high-resolution panchromatic imagery. In this work, the performance of various pansharpening algorithms in improving the 2.5m resolution of Gokturk-2 satellite imagery is compared. Eight different pansharpening algorithms are tested on seven different Gokturk-2 images and evaluated using eight different metrics which measures spectral and spatial quality of pansharpened images. We developed a preprocessing method, which is based on unsharp masking of pan band. Proposed method replace high pass filtering of Optimized HPF method instead it used sharpened image from unsharp masking of pan band. Then this information is added multispectral bands based on their standard deviation ratios. Pan band carries highest resolution spatial information while it lacks color. Unsharp masking is applied pan band to improve spatial contribution from this band. Then other pansharpening methods are applied to the image. Unsharp based preprocessing of pan bands improves sharpness of the images without degraded image quality. Unsharpening increases sharpness of pansharpened images which performs poorly persevering spatial features. Our results show that the Optimized High Pass Filter (HPF) yields the sharpest pan sharpened image, while the hyper spherical Color Space (HCS) method preserves the truest colors while preserving sharpness to a certain degree.
URI: https://hdl.handle.net/20.500.11851/7766
ISBN: 978-1-5386-1501-0
ISSN: 2165-0608
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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