Abstract
The Maximum Noise Fractions (MNF) transformation is used as a restoration tool in a
512512 subscene of a 63 channel spectral dataset recorded over the Pyrite Belt in Southern
Spain with the Geophysical Environmental Research Imaging Spectrometer (GERIS). The
data obtained from such a scanning device are very useful in e.g. mineral exploration and
environmental surveillance. Following the transformation from the original image space
into theMNF space, a Fourier transformation of the MNFs (which are ordered by signal-tonoise
ratio) will show more and more noise content. Also, the strong striping in primarily
the visual bands of the scanner will be very conspicuous in the Fourier domain of only a few
MNFs. We automatically detect the peaks in the Fourier spectra representing this striping,
and if so desiredwe replace them by an iterated local mean value. Transforming back into the
MNF space by the inverse Fourier transformation gives restored MNFs and transforming
back into the original image space gives restored original bands. If we want to remove
salt-and-pepper noise also, we can replace the noise-only MNFs by their mean value before
transforming back into the original image space. This noise removal is very important along
with atmospheric correction of the data before performing physically oriented analysis.
| Original language | English |
|---|---|
| Title of host publication | Proceedings from the First International Airborne Remote Sensing Conference and Exhibition |
| Publication date | 1994 |
| Pages | 557-568 |
| Publication status | Published - 1994 |
| Event | Proceedings from the First International Airborne Remote Sensing Conference and Exhibition - Duration: 1 Jan 1994 → … |
Conference
| Conference | Proceedings from the First International Airborne Remote Sensing Conference and Exhibition |
|---|---|
| Period | 01/01/1994 → … |