Super-Resolution of Multispectral Images |
Author(s): |
| Ms. Rashmi Agrawal , Atmiya Institute of Technology and Science, Rajkot.; Mr. Dhaval Shingala, Atmiya Institute of Technology and Science, Rajkot. |
Keywords: |
| Principal Component Analysis, multispectral, hyper spectral, Markov random field. |
Abstract |
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Multispectral images are used for space Arial application, target detection and remote sensing application. MS images are very rich in spectral resolution but at a cost of spatial resolution. We propose a new method to increase a spatial resolution MS images. For spatial resolution enhancement of MS images we need to employ a super-resolution technique which uses a Principal Component Analysis (PCA) based approach by learning an edge details from database. Experiments have been carried out on both real multispectral (MS) data and MS data. This experiment is done with the usefulness for hyper spectral (HS) data as a future work. |
Other Details |
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Paper ID: IJSRDV1I3092 Published in: Volume : 1, Issue : 3 Publication Date: 01/06/2013 Page(s): 770-774 |
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