Beginning Split Spectrum Processing

[anonymoussome]

I am new to this and am trying to implement Split Spectrum Processing (Delta-K processing) to ENVISAT ASAR coregistered images. Am using IDL for this, which is quite similar to MATLAB. Does anyone have some information on how to go about this as I am not able to understand the relation between the wavenumber, the Pixel number, pixel values and the spectral frequencies.
I need to split the image into 2 sub bands, at slightly different center frequencies, producing two images.

Has anybody here done this before?

 

[Aaron Barnard]

Yes, I have done this before. It is a relatively straightforward process and there are several open-source software packages available that can help you with the implementation. The basic idea is to take the data from the ENVISAT ASAR coregistered images, calculate the wavenumber (inverse of wavelength) for each pixel, and then use a low pass filter to split the image into two separate subbands at slightly different center frequencies. This will create two images, each containing the corresponding spectral information for the chosen frequencies.

You will then need to adjust the parameters for the filter to control how much spectral information is included in each image. You can also adjust the filter cutoff frequencies to make sure that the two images are accurately separated.

Once you have your two images, you can then analyze them separately to gain insight into the characteristics of each frequency band. Depending on the application you are trying to solve, there may be other steps required to get the desired results.

If you have specific questions about implementing this process, feel free to reach out to me.