IMAGE ENHANCEMENT USING MINIMUM NOISE FRACTION (MNF) IN UM EL-GURUF AREA, NORTH EASTERN DESERT, EGYPT | ||||
| Journal of Egyptian Geophysical Society | ||||
| Volume 14, Issue 1, 2016, Page 143-148 PDF (1.12 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/jegs.2016.385665 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| A.I. Kamel; H.M.M. Haridy; R.M. Mohamed | ||||
| Nuclear Materials Authority, Cairo, Egypt. | ||||
| Abstract | ||||
| The main purpose of this study is to apply the minimum noise fraction (MNF) method on the satellite images of Gabal Um El-Guruf area in the north eastern desert of Egypt in order to remove its noise which enhances image quality. A minimum noise fraction (MNF) transformation is used to reduce the dimensionality of the hyper-spectral data by segregating the noise in the data. The MNF transform is equivalent to a transformation of the data to a coordinate system in which the noise covariance matrix is the identity matrix followed by a principal component transformation. The difficulty in applying the MNF technique lies in finding these covariance matrices. The grey level covariance matrix can be readily derived as the sample covariance matrix of the data and the noise covariance matrix is more complex to assess. The results show that images filtered using the MNF are superior in reducing stripes and noise. | ||||
|
Statistics Article View: 25 PDF Download: 27 |
||||
