Mom who Maps

While I have been so problematic before how to resample my billions of points to have it visualized in 3D and further perform analysis over it, I found out that ArcGIS would be the best solution. The usual discretization is performed on my data, I scraped out all the noisy points by limiting my range to 5cm o 100m. Now I added another criterion, that is to remove all points below my LIDAR setup. That is to consider theta(horizontal FOV)<90 and theta >270 degrees. That in a way reduced my point cloud into almost 30% of the original. Memory-wise, it was a LUXURY already! Now for checking the irregularities in the observed point cloud, using the Point File Information Tool is by far the best solution. Using ArcGIS 10.0: 1. Go to 3D analayst tools>Conversion>From File> Point File Information. 2. You will be opt to browse lidar point cloud by File or by Folder. (I suggest that you browse by Folder if you've got more than 10 files.) 3. Now you will be opt for the f...

I had some problems using my previous Matlab script on generating the converted latitude, longitude and height from the ECEF -X,Y,Z coordinates. for k = 1:5     matFilename = sprintf('%d.csv', k);     M = ecef2lla(textread(matFilename));     dlmwrite('sample.xyz',M, '-append'); end What happens right here is that it writes formatted values of the latitude, longitude and height formatted in three columsn but in 5 significant digits only hence creating duplicated coordinates which scraped up most of my values in the sample.xyz. It took me the whole long weekend to figure out how to improve the results, I know it's on the formatting only and  not on the predefined classes per se.  As I've always been familiar with the %3.2f tag for specifying the decimal places in a float, I have been trying all the way to fit in my argument but to no avail. I'm almost giving up on using the "dlmwrite" function and tried using the "fprintf...