Hyperspectral and Multispectral Image Fusion Techniques
Shabin Muhammed1, Rahul D2, Vishnukumar S3
1Shabin Muhammed, Department of Computer Science, University of Kerala, Kariavattom, Thiruvananthapuram, Kerala, India.
2Rahul D, Department of Computer Science, University of Kerala, Kariavattom Thiruvananthapuram, Kerala, India.
3Vishnukumar S, Department of Computer Engineering, Govt. Polytechnic College, Nedumkandam ,Idukki, Kerala, India.
Manuscript received on January 02, 2020. | Revised Manuscript received on January 15, 2020. | Manuscript published on January 30, 2020. | PP: 467-471 | Volume-8 Issue-5, January 2020. | Retrieval Number: E4904018520/2020©BEIESP | DOI: 10.35940/ijrte.E4904.018520
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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 hyper spectral image covers a broad range of wavelengths in electromagnetic spectrum, spanning from visible to near-infrared region. The basic objective of hyperspectral imaging is to attain the spectrum for each pixel in the image of a scene, with the aim of identifying objects in the scene and its classification. The hyperspectral images give detailed spectral information but their spatial resolution is very poor. So to enhance the visual quality of the hyperspectral image, we can perform image fusion with high spatial information multispectral image. This paper provides a complete description of hyperspectral imaging and image fusion methods of hyperspectral and multispectral images. A quantitative and qualitative comparative analysis on performance of various hyperspectral and multispectral image fusion techniques are also done.
Keywords: Hyperspectral imaging, Multispectral imaging, pan sharpening.
Scope of the Article: Software Engineering Techniques and Production Perspectives.