| Re: wavelength calibration [message #78211 is a reply to message #69965] |
Thu, 03 November 2011 13:05   |
rogass
Messages: 200
Registered: April 2008
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Senior Member |
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On 1 Nov., 15:08, Gray <grayliketheco...@gmail.com> wrote:
> Hello IDL gurus,
>
> I have a night-sky emission spectrum (from my data), and a list of
> irregularly-gridded night-sky lines (from the literature). I'm trying
> to perform a wavelength calibration of my data; I have a quite poor
> zeroth-order solution already.
>
> My best idea so far was to perform a cross-correlation of the two data
> sets to find the wavelength shift and then do some least-squares
> fitting to find a better solution. However, I'm not sure how to
> perform the cross-correlation.
>
> My data is in the form:
> (a) n-element array of spectrum data points
> (b) n-element array of zeroth-order wavelengths
> (c) m-element array of night-sky emission line wavelengths (irregular)
> (d) m-element array of night-sky emission line strengths
>
> So my questions are:
> 1) How do I compute the cross-correlation between these two sets of
> data?
> 2) Is this the best way to go about it?
>
> Thank you as always...
> --Gray
Hi,
2) it depends on :)
Just look for smile correction, e.g.:
with known endmember:
Guanter, L., Segl, K., Sang, B., Alonso, L., Kaufmann, H., Moreno, J.
(2009): Scene-based
spectral calibration assessment of high spectral resolution imaging
spectrometers. - Optics
Express, 17, 14, 11594-11606, DOI: 10.1364/OE.17.011594
with atmospheric absorptions:
Richter, Rudolf und Schläpfer, Daniel und Müller, Andreas (2011)
Operational atmospheric correction for imaging spectrometers
accounting for the smile effect.
IEEE Transactions on Geoscience and Remote Sensing, 49 (5), Seiten
1772-1780.
IEEE. DOI: 10.1109/TGRS.2010.2089799.
It's pretty simple to implement. Just use SHARP features.
Cheers
CR
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