Volume XXXVIII-5/W12
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-5/W12, 13-18, 2011
https://doi.org/10.5194/isprsarchives-XXXVIII-5-W12-13-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-5/W12, 13-18, 2011
https://doi.org/10.5194/isprsarchives-XXXVIII-5-W12-13-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.

  03 Sep 2012

03 Sep 2012

HEURISTICAL FEATURE EXTRACTION FROM LIDAR DATA AND THEIR VISUALIZATION

S. Ghosh and B. Lohani S. Ghosh and B. Lohani
  • Geoinformatics Laboratory, Department of Civil Engineering Indian Institute of Technology Kanpur Kanpur, 208 016 India

Keywords: LIDAR, segmentation, feature extraction, visualization

Abstract. Extraction of landscape features from LiDAR data has been studied widely in the past few years. These feature extraction methodologies have been focussed on certain types of features only, namely the bare earth model, buildings principally containing planar roofs, trees and roads. In this paper, we present a methodology to process LiDAR data through DBSCAN, a density based clustering method, which extracts natural and man-made clusters. We then develop heuristics to process these clusters and simplify them to be sent to a visualization engine.