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.
Cite
CITATION STYLE
Muhammed*, S., D, R., & S, V. (2020). Hyperspectral and Multispectral Image Fusion Techniques. International Journal of Recent Technology and Engineering (IJRTE), 8(5), 467–471. https://doi.org/10.35940/ijrte.e4904.018520
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