Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7233
Title: Optimal Pansharpening of RASAT Satellite Imagery
Authors: Teke, Mustafa
Seyfioğlu, Mehmet Saygın
Ağçal, Arda
Gürbüz, Sevgi Zübeyde
Keywords: RASAT
pansharpening
HCS
HPF
Issue Date: 2014
Publisher: IEEE
Source: 22nd IEEE Signal Processing and Communications Applications Conference (SIU) -- APR 23-25, 2014 -- Karadeniz Teknik Univ, Trabzon, TURKEY
Series/Report no.: Signal Processing and Communications Applications Conference
Abstract: Pansharpening 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 pan sharpening algorithms in improving the 7.5 meter resolution of RASAT satellite imagery is compared Nine different pansharpening algorithms are tested on seven different RASAT images and evaluated using six different metrics. Our results show that the High Pass Filter yields the sharpest pansharpened image, while the Hyperspherical Color Space method provides the truest colors while preserving sharpness to a certain extent
URI: https://hdl.handle.net/20.500.11851/7233
ISBN: 978-1-4799-4874-1
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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