In this paper, a comprehensive review and performance evaluation of pansharpening algorithms for GÖKTÜRK-2 images is presented. GÖKTÜRK-2 is the first high resolution remote sensing satellite of Turkey which was designed and built in Turkey, by The Ministry of Defence, TUBITAK-UZAY and Turkish Aerospace Industry (TUSAŞ) collectively. GÖKTÜRK-2 was launched at 18th. December 2012 in Jinguan, China and provides 2.5 meter panchromatic (PAN) and 5 meter multispectral (MS) spatial resolution satellite images. In this study, a large number of pansharpening algorithms are implemented and evaluated for performance on multiple GÖKTÜRK-2 satellite images. Quality assessments are conducted both qualitatively through visual results and quantitatively using Root Mean Square Error (RMSE), Correlation Coefficient (CC), Spectral Angle Mapper (SAM), <i>Erreur Relative Globale Adimensionnelle de Synthése</i> (ERGAS), Peak Signal to Noise Ratio (PSNR), Structural Similarity Index (SSIM) and Universal Image Quality Index (UIQI).
This study presents the most extensive performance comparison of pansharpening methodologies by considering 17 pansharpening algorithms that are applied to the satellite images obtained from RASAT, which is the first earth observation satellite designed and manufactured in Turkey. Standard and state-of-the-art pansharpening approaches from various categories, such as component substitution (CS), modulation based (MB), multiresolution analysis (MRA), and hybrid and variational methods, are included in order to gain a better insight and perform a thorough analysis of the performance of various pansharpening methods. The experimental validation procedure was designed according to Wald's protocol, and the performance evaluations were conducted both qualitatively and quantitatively on the basis of seven quantitative evaluation criteria.
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