Hierarchical Bayesian nets for building extraction using dense digital surface models
- 1 October 1998
- journal article
- Published by Elsevier in ISPRS Journal of Photogrammetry and Remote Sensing
- Vol. 53 (5) , 296-307
- https://doi.org/10.1016/s0924-2716(98)00012-4
Abstract
No abstract availableThis publication has 13 references indexed in Scilit:
- A hybrid concept for 3D building acquisitionISPRS Journal of Photogrammetry and Remote Sensing, 1998
- Interpretation of Urban Surface Models using 2D Building InformationPublished by Springer Nature ,1997
- Extracting Artificial Surface Objects from Airborne Laser Scanner DataPublished by Springer Nature ,1997
- Application of Semi-Automatic Building AcquisitionPublished by Springer Nature ,1997
- An experimental comparison of range image segmentation algorithmsIEEE Transactions on Pattern Analysis and Machine Intelligence, 1996
- Extracting objects from digital terrain modelsPublished by SPIE-Intl Soc Optical Eng ,1995
- Use of DTMs/DSMs and Orthoimages to Support Building ExtractionPublished by Springer Nature ,1995
- Model-based 2D-Shape RecoveryPublished by Springer Nature ,1995
- Model-based object recognition in dense-range images—a reviewACM Computing Surveys, 1993
- Segmentation and Classification of Range ImagesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1987