Analyzing hyper-spectral and multi-spectral data fusion in spectral domain |
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| Authors: | H Pande Poonam S Tiwari Shashi Dobhal |
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| Institution: | 1.Indian Institute of Remote Sensing (NRSC),Dehradun,India |
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| Abstract: | Image fusion is the combination of two or more different images to form a new image by using a certain algorithm. Despite
the fact that the number and kind of satellite imagery are daily increasing, using fusion techniques, in a proper way, to
eliminate the redundancy in data and increase the quality of data is an important challenge in Remote Sensing Image Processing.
Fusion of multispectral images with a hyperspectral image generates a composite image which preserves the spatial quality
from the high resolution (MS) data and the spectral characteristics from the hyperspectral data. For the present study three
fusion algorithms (Principal Component Transformation, Colour Normalized and Gram-Scmidt Transformation) were analysed for
Hyperion and IKONOS MSS data. Their ability to preserve the spectral quality of fused data, in comparison with original hyper-spectral
image, has been investigated. |
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