Processing of laser scanner data - Algorithms and applications

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 54, Issue 2-3, 1999, Pages 138-147

  Axelsson, Peter ^a  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

3D City Models; Classification; Filtering; Laser scanner; MDL; Modelling

Indexed keywords

ALGORITHMS; LASER APPLICATIONS; MATHEMATICAL MODELS; SCANNING; SIGNAL FILTERING AND PREDICTION;

AIRBORNE LASER SCANNING; MINIMUM DESCRIPTION LENGTH (MDL);

REMOTE SENSING;

AIRBORNE SENSING; DATA PROCESSING; LASER METHOD;

EID: 0032794144     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0924-2716(99)00008-8     Document Type: Article

References (6)

1. Ackermann F. Airborne laser scanning for elevation models. GIM, Geomatics Info Magazine. 10(10):1996;24-25.
2. Axelsson, P., 1992. Minimum description length as an estimator with robust properties. In: Foerstner, W., Ruwiedel, S. (Eds.), Robust Computer Vision, Wichmann, Verlag, Karlsruhe, pp. 137-150.
3. Haala N., Brenner C., Anders K.H. Generation of 3D City Models from digital surface models and 2D GIS. International Archives of Photogrammetry and Remote Sensing. 32:1997;68-75. Part 3-4 W 2.
4. Hug, C., 1997. Extracting artificial surface objects from airborne laser scanner data. In: Gruen, A., Baltsavias, E.P., Henricsson, O. (Eds.), Automatic Extraction of Man-Made objects from Aerial and Space Images (II), Birkhauser, Verlag, Basel, pp. 203-212.
5. Kraus K., Pfeifer N. Determination of terrain models in wooded areas with airborne laser scanner data. ISPRS Journal of Photogrammetry and Remote Sensing. 53(4):1998;193-203.
6. Rissanen J. A universal prior for integers and estimation by minimum description length. The Annals of Statistics. 11(2):1983;416-431.