Filtering and calibration of laser-scanner measurements

Dieter Fritsch; James C. Kilian

doi:10.1117/12.182831

17 August 1994 Filtering and calibration of laser-scanner measurements

Dieter Fritsch, James C. Kilian

Proceedings Volume 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision; (1994) https://doi.org/10.1117/12.182831
Event: Spatial Information from Digital Photogrammetry and Computer Vision: ISPRS Commission III Symposium, 1994, Munich, Germany

Abstract

The paper introduces in airborne laser scanner architecture and its data postprocessing. One main problem is the definition of a contiguously measured digital terrain model (DTM) by filtering neighboring strips and their attachment to each other. These problems are solved by spline approximations and datum transforms. The spline approximation starts with a bicubic polynomial which can be reparameterized in terms of its function values and the first derivatives as new unknown parameters. Filtering is carried out in a two dimensional rectangle bordered by the nodes of the spline. The next step of the data postprocessing is the datum transform. Using a similarity transform the seven datum parameters have to be defined by a data snooping procedure with non-parametric hypothesis tests. The reason for using non- standard test statistics is the systematic effects produced by the sensor system itself are man- made and natural 3-D phenomena cannot be eliminated a priori perfectly. Therefore, the datum transform should give the hints which observations are blunders and which are not.

Citation Download Citation

Dieter Fritsch and James C. Kilian "Filtering and calibration of laser-scanner measurements", Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); https://doi.org/10.1117/12.182831

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available