I'm trying to figure out if there's any standard, go-to procedure that people in the field of remote sensing use in order to convert point-cloud data to a matrix.
I am a signal processing masters student, specializing in remote sensing and data fusion. Lately I've been going through the literature to see what people usually use, but authors do not, usually, explicitly mention what they do.
I have some Lidar point-cloud data, and the method I used was to simply interpolate the data so as to fill in all the gaps. As you can imagine, this would create a great source of variability as the quaity of the results might depend greatly on the quality of the interpolation.
What do you usually do/know that people do?
Any input would be greatly appreciated.