Optimizing Sensor Relationship for Fusion of Multispectral and Panchromatic Imagery
Vaibhav R. Pandit1, R. J. Bhiwani2
1Vaibhav R. Pandit*, Research Scholar, Engineering & Technology, Sant Gadge Baba Amravati University, Amravati, Maharashtra State, India.
2Dr. R. J. Bhiwani, Professor, Dept. of Electronics & Telecomm. Engg., Babasaheb Naik College of Engineering, Pusad, Maharashtra State, India.
Manuscript received on November 13, 2019. | Revised Manuscript received on 24 November, 2019. | Manuscript published on December 10, 2019. | PP: 3078-3083 | Volume-9 Issue-2, December 2019. | Retrieval Number: B7334129219/2019©BEIESP | DOI: 10.35940/ijitee.B7334.129219
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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: The remote sensing satellite products: multispectral and panchromatic imagery are characterized by different levels of spatio-spectral resolutions. The fusion of these two images (provided, they are acquired for same geographic scenario) is also known as ‘Pansharpening’. This produces a composite image featuring simultaneous high levels of spatio-spectral resolutions to meet the demand of the most of remote sensing applications. Thus, different approaches for such fusion and further its quality assessment are continuously researched. The modulation transfer function is unique to the imaging sensors. In this paper, the sensor relationship of the input imagery is optimized to produce the efficient pansharpened/fused image. The performance measurement is carried out on two real datasets made available by WorldView-2 and WorldView-3 satellite sensors using two assessment techniques. The results of optimization approach are further compared to nine different most recent fusion algorithms.
Keywords: Image Fusion, Multispectral image, Otimization, Panchromatic Image.
Scope of the Article: Image Processing and Pattern Recognition