Publications

  • 2017

    • Polewski, P., Yao, W., Heurich, M., Krzystek, P. and Stilla, U., 2017a. Learning a constrained conditional random field for enhanced segmentation of fallen trees in ALS point clouds. ISPRS Journal of Photogrammetry and Remote Sensing. 9th April. http://doi.org/10.1016/j.isprsjprs.2017.04.001.
    • Amiri, N., Polewski, P., Yao, W., Krzystek, P. and Skidmore, U., 2017b. Detection of single tree stems in forested areas from high density ALS point clouds using 3D shape descriptors. Geospatial Week Wuhan 2017. Peer review. Submitted.
    • Polewski, P., Yao, W., Krzystek, P. and Stilla, U., 2017c. . A voting-based statistical cylinder detection framework applied to fallen tree mapping in TLS poinz clouds. ISPRS Journal of Photogrammetry and Remote Sensing. Peer review. In review.
    • Yao, W., Polewski, P., Krzystek, P., 2017d. Semenatic labelling of ultra dense MLS point clouds in urban road corridors based on fusing CRF with shape priors.. Geospatial Week Wuhan 2017. Submitted.


  • 2016

  • 2015

  • 2014

  • 2013

  • 2012

  • 2011

  • 2010

  • 2009

  • 2008

  • 2007

  • 2006

  • 2005

  • 2004

  • 2003

Prof. Dr. Peter Krzystek
Room: F 303

Tel.: 089 1265-2617
Fax: 089 1265-2698

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