SEQUENTIAL MODELLING OF BUILDING ROOFTOPS BY INTEGRATING AIRBORNE LIDAR DATA AND OPTICAL IMAGERY: PRELIMINARY RESULTS

This paper presents a sequential rooftop modelling method to refine initial rooftop models derived from airborne LiDAR data by integrating it with linear cues retrieved from single imagery. A cue integration between two datasets is facilitated by creating new topological features connecting between...

Full description

Bibliographic Details
Main Authors: G. Sohn, J. Jung, Y. Jwa, C. Armenakis
Format: Article
Language:English
Published: Copernicus Publications 2013-05-01
Series:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-3-W1/27/2013/isprsannals-II-3-W1-27-2013.pdf
Description
Summary:This paper presents a sequential rooftop modelling method to refine initial rooftop models derived from airborne LiDAR data by integrating it with linear cues retrieved from single imagery. A cue integration between two datasets is facilitated by creating new topological features connecting between the initial model and image lines, with which new model hypotheses (variances to the initial model) are produced. We adopt Minimum Description Length (MDL) principle for competing the model candidates and selecting the optimal model by considering the balanced trade-off between the model closeness and the model complexity. Our preliminary results, combined with the Vaihingen data provided by ISPRS WGIII/4 demonstrate the image-driven modelling cues can compensate the limitations posed by LiDAR data in rooftop modelling.
ISSN:2194-9042
2194-9050