Satellite Image Registration and Image Fusion by using Principle Component Analysis
| Autor: | Gandla Roopesh Kumar, Gandla Maharnisha, R Arunraj |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Image fusion
Environmental Engineering Computer science business.industry General Chemical Engineering ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION General Engineering Hardware and Architecture Computer Science::Computer Vision and Pattern Recognition Principal component analysis Satellite image Computer Science (miscellaneous) Computer vision Artificial intelligence business Biotechnology |
| Zdroj: | International Journal of Engineering & Technology. 7:106 |
| ISSN: | 2227-524X |
| Popis: | This aims to fused image registration and image fusion used to spatial resolution images by principle component analysis method. Digital image processing requires either the full image or a part of image. It will be processed from the user’s point of view like the radius of object. Wavelet technique will improve the spatial resolution to produce spectral degradation in output image. To overcome the spectral degradation, PCA fusion method can be used. PCA uses curve which represent edges and extraction of the detailed information from the image.PAN and MS images are used by individual acquired low frequency approximate component and high frequency detail components in this PCA. To evaluate the image fusion accuracy, Peak Signal to Noise Ratio and Root Mean Square Error are used. The advantages of using digital image processing are preservation of original data accuracy, flexibility and repeatability. |
| Databáze: | OpenAIRE |
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