R help - Jul 2004 - gaussian model of 3d surface

Hi all,

I'm working with radar remote sensing data and want to measure the height of
3d spikes created by backscatter from bright objects.  My thought is to fit
a gaussian density function to each spike and extract the x, y and z
location of the peak.   Can anybody give me a hint of how to do this? 

Thanks, 

Alan

 

 


	[[alternative HTML version deleted]]

>>>>> "Alan" == Alan Swanson <swanson at
yellowstoneresearch.org>
>>>>>     on Fri, 23 Jul 2004 10:35:08 -0600 writes:
    Alan> Hi all, I'm working with radar remote sensing data and
    Alan> want to measure the height of 3d spikes created by
    Alan> backscatter from bright objects.  My thought is to fit
    Alan> a gaussian density function to each spike and extract
    Alan> the x, y and z location of the peak.  Can anybody give
    Alan> me a hint of how to do this?

If I understand correctly,
you want to fit what is commonly called a "(finite) Normal
Mixture Model" to your 3d data 
and then extract the (estimated) (3d-)means of each component ?

If yes, then consider using package 'mclust'.

Regards,
Martin Maechler