Pansharpening of Multispectral and Panchromatic Images for Color Distortion using MATLAB
Pankaj H. Chandankhede1, Pragati M. Fatinge2
1Dr. Pankaj H. Chandankhede*, Assistant Professor, Department of Electronics & Telecommunication Engineering, G H Raisoni College of Engineering, Nagpur, Maharashtra, India.
2Prof. Pragati M. Fatinge, Assistant Professor, Department of Computer Engineering, KC College of Engineering and Management Studies and Research, Thane Mumbai, Maharashtra, India.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 28, 2020. | Manuscript published on April 10, 2020. | PP: 461-465 | Volume-9 Issue-6, April 2020. | Retrieval Number: F3745049620/2020©BEIESP | DOI: 10.35940/ijitee.F3745.049620
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© The Authors. 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: This paper deals with new pan sharpening techniques/methods for multispectral pan sharpening. These techniques are functional to number of datasets and their usefulness, strength and health are (figured out the worth, amount, or quality of) with widely used performance indicators. Also, all the ways of doing things of pan sharpening thought about/believed in this paper were put into use in a MATLAB with toolbox. GUI was designed using regression method which reduces color distortion.
Keywords: PAN-Panchromatic Image, MS-Multispectral Image, Pansharpening, Intensity Hue Saturation IHS-Fusion, Vibrational Fusion.
Scope of the Article: Image Processing and Pattern Recognition.