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SETSCI - Volume 3 (2018)
ISAS2018-Winter - 2nd International Symposium on Innovative Approaches in Scientific Studies, Samsun, Turkey, Nov 30, 2018

Modified Synthetic Variable Ratio Pansharpening Method (ISAS2018-Winter_16)
Volkan Yılmaz1*, Çiğdem Şerifoğlu Yılmaz2, Oğuz Güngör3
1Karadeniz Teknik University, Trabzon, Turkey
2Karadeniz Teknik University, Trabzon, Turkey
3Karadeniz Teknik University, Trabzon, Turkey
* Corresponding author: volkanyilmaz.jdz@gmail.com
Published Date: 2019-01-14   |   Page (s): 92-96   |    9     3

ABSTRACT Pansharpening, which is transferring the spatial content of a high-resolution panchromatic (PAN) band into a lowerresolution multispectral (MS) image to produce a spatially enhanced MS image, has always been one of the hottest topics of
image processing. Numerous studies have focused on developing approaches to inject the spatial details with minimum spectral
distortion. This study utilized the Genetic Algorithms (GA) to improve the performance of the Synthetic Variable Ratio (SVR),
which is one of the most conventional pansharpening methods. This method was modified such that the weight of each MS band
was estimated by means of a GA to achieve the optimum result. The spectral quality of the image produced by the proposed
approach was compared against those of the images obtained from widely-used pansharpening algorithms Principal Component
Analysis (PCA), Modified IHS (MIHS), Gram-Schmidt (GS), Nearest Neighbor Diffuse (NND), High-Pass Filtering (HPF) and
conventional SVR. The quantitative evaluation of the pansharpening results revealed that the proposed approach resulted in
superior spectral quality, compared to the other methods.  
KEYWORDS pansharpening, genetic algorithm, synthetic variable ratio, image enhancement, image fusion
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