Comparison of Performance of Various Image Fusion Techniques using IKONOS-2 Data
Megha K. Mehta1, Nehal G. Chitaliya2, Paru Thakkar3, Madhukar B. Potdar4
1Megha K. Mehta, P.G. Scholar, Sardar Vallabhbhai Patel Institute of Technology (SVIT), Vasad, India.
2Dr. Nehal G. Chitaliya, Associate Prof.(E&C dep.) , Sardar Vallabhbhai Patel Institute of Technology (SVIT), Vasad, India.
3Paru Thakkar, Bhaskaracharya Institute for Space Applications and Geo-informatics (BISAG), Gandhinagar, India.
4Dr. Madhukar B. Potdar, Project Director, Bhaskaracharya Institute for Space Applications and Geo-informatics (BISAG), Gandhinagar, India.
Manuscript received on December 08, 2014. | Revised Manuscript received on December 15, 2014. | Manuscript published on January 05, 2014. | PP: 232-235 | Volume-3 Issue-6, January 2014. | Retrieval Number: F2045013614
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Image fusion or spectral merging techniques combine low spatial resolution multispectral data with high spatial resolution PAN data to extract maximum advantage in terms of both spatial and spectral resolutions. Many methods have been suggested in literature for image fusion depending on color and fusion models. In this paper, the process of Image fusion/pan-sharpening following 10 approaches based on different color models and spatial transformations have been compared using IKONOS-2 pan and multispectral data. Also, a concept of controlled injection of intensity component is introduced to study its impact on the variation of spectral correlation. The performances of various methods are evaluated through various statistical parameters.
Keywords: Color Models, Image Fusion, Spectral Merging, PAN-sharpening, IKONOS.