Talks and Poster Presentations (with Proceedings-Entry):

D. Wang, M. Hollaus, E. Puttonen, N. Pfeifer:
"Fast and robust stem reconstruction in complex environments using terrestrial laser scanning";
Poster: XXIII ISPRS Congress, Prague, Czechia; 2016-07-12 - 2016-07-19; in: "International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences", International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLI-B3 (2016), ISSN: 1682-1750; 411 - 417.

English abstract:
This paper describes a novel algorithm for stem modeling in complex environments (i.e. canopy structure, steep terrain, amount of undergrowth, occlusions of the TLS point cloud, shaped tree stems). The stem reconstruction is done by a self-adaptive fitting and cylinder growing scheme. This algorithm is tested for a landslide region in the federal state of Vorarlberg, Austria. The algorithm results are compared to field reference data, which show that our algorithm is able to accurately retrieve the diameter at breast height (DBH) with a root mean square error (RMSE) of ~1.9 cm

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Electronic version of the publication:

Created from the Publication Database of the Vienna University of Technology.