Review and Performance Comparison of Pansharpening Algorithms for RASAT Images


Kocaeli University Laboratory of Image and Signal Processing (KULIS), Kocaeli, Turkey

ELECTRICA 2018; 18: 109-120
DOI: 10.5152/iujeee.2018.1817
Read: 167 Downloads: 60 Published: 23 February 2018

This study presents themost extensive performance comparison of pansharpening methodologies byconsidering 17 pansharpening algorithms that are applied to the satelliteimages obtained from RASAT, which is the first earth observation satellitedesigned and manufactured in Turkey. Standard and state-of-the-artpansharpening approaches from various categories, such as component substitution(CS), modulation based (MB), multiresolution analysis (MRA), and hybrid andvariational methods, are included in order to gain a better insight and performa thorough analysis of the performance of various pansharpening methods. Theexperimental validation procedure was designed according to Wald's protocol,and the performance evaluations were conducted both qualitatively andquantitatively on the basis of seven quantitative evaluation criteria.

EISSN 2619-9831