Full text: XIXth congress (Part B3,1)

jan 
sis 
ch. 
ter 
ity 
07, 
lli- 
ific 
44, 
ing 
age 
iter 
age 
yer 
LOS, 
ine 
für 
age 
85— 
Vittorio Casella 
  
ESTIMATION OF PLANIMETRIC ACCURACY OF LASER SCANNING DATA. PROPOSAL OF 
A METHOD EXPLOITING RAMPS 
Vittorio CASELLA, Anna SPALLA 
University of Pavia, Italy 
Department of Building and Territorial Engineering 
casella Q unipv.it 
spalla ?unipv.it 
Working Group III/1 
KEY WORDS: Accuracy, Algorithms, Data processing, DTM/DEM/DSM, Laser/Lidar. 
ABSTRACT 
A method is described for the estimation of planimetric precision of laser scanning data. Due to the nearly random dis- 
tribution of the points hit by the laser, it is difficult to use the very standard technique of measuring the same points with 
the instrument under investigation and with another one, whose performances are well known and better than those 
expected from the former. But when the terrain is not flat, it could be said that the planimetric errors affect altimetric 
precision of the points measured by the laser scanner; we will show exactly what this means. We will also show that 
this behaviour can be exploited to estimate planimetric precision, provided that the shape, position and attitude of some 
ramps is known. The paper first of all focuses on the method's description, then it shows some initial results obtained 
from Pavia's test area. 
1 INTRODUCTION 
Laser scanning is rather a new technique which is already widely used. Nevertheless, it hasn't yet been completely in- 
vestigated for some aspects, such as the accuracy of the sparse (X,Y,Z) data. Altimetric accuracy can be easily esti- 
mated on flat areas such as car parks, sport fields, squares and road crossings. Planimetric accuracy, instead, cannot be 
easily assessed by usual methods, based on the comparison of measurements given by different techniques. Indeed laser 
sensor scans the world below blindly and the points measured by it do not necessarily coincide with features usually 
exploited by surveyors such as building corners or edges. Therefore it is almost impossible to measure the same points 
with the laser and with another instrument, such as GPS. 
One solution is represented by interpolation. Laser data could be interpolated to obtain grids and these could be ana- 
lysed to find building edges and to determine their position. These positions could finally be checked by means of direct 
measurements. But unfortunately the gridding process and the following edge extraction introduce into the data some 
errors which are not easily distinguishable from the errors originally affecting the laser data. Therefore, even if gridding 
and grid analysis are well known and powerful methods, we tried to develop another way of assessing planimetric pre- 
cision. 
The method suggested by us does not require gridded data and it is based, instead, on sparse points. It exploits planar 
man-made surfaces such as court ramps and river banks. Let's consider first of all a simplified ramp and let's suppose 
that a laser pulse has struck a point whose true coordinates are (X,.Y,,Z,). Due to the measurements errors, the sensor 
will return, for the hit point, the position (X,Y,Z). 
The relationship between the real, unknown, position and the measured one involves random errors (and systematic 
ones, if any) 
(X,Y,Z )2 (X, Ys Z9 * (ex.e. €) (1) 
Once we have measured the ramp with a high-precision method, such as GPS or a mixture of it with other land surve y- 
ing methods, it is possible to estimate the parameters a, b and c of the plane with a least squares approach; then, it is 
possible to compare the measured height, Z, and the height of the ramp at the same location, given by aX + bY+c. 
  
International Archives of Photogrammetry and Remote Sensing. Vol. XXXIII, Part B3. Amsterdam 2000. 157 
 
	        
Waiting...

Note to user

Dear user,

In response to current developments in the web technology used by the Goobi viewer, the software no longer supports your browser.

Please use one of the following browsers to display this page correctly.

Thank you.