@article{PervyshinYakovlevGordinaetal.,
  author    = {Pervyshin, G.N. and Yakovlev, G.I. and Gordina, A.F. and Keriene, J. and Polyanskikh, I.S. and Fischer, Hans-Bertram and Rachimova, N.R. and Buryanov, A.F.},
  title     = {Water-resistant Gypsum Compositions with Man-made Modifiers},
  series = {Procedia Engineering},
  journal   = {Procedia Engineering},
  doi       = {10.1016/j.proeng.2017.02.087},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20170425-31580},
  pages     = {867 -- 874},
  abstract  = {The work has studied the structure and properties of gypsum compositions modified with the manmade modifier based on metallurgical dust and multi-walled carbon nanotubes. The results show that changing the structure of solid gypsum leads to the increase in bending and compressive strength by 70,5\% and 138\% correspondingly, the water resistance increasing and the softening factor reaching 0,85. Modifying gypsum composition with complex additive leads to the formation of amorphous structures based on calcium hydrosilicates on the surface of primary gypsum crystallohydrates that bond gypsum crystals and reduce the access of water.},
  subject      = {Gips},
  language  = {en}
}
@article{FischerSteinhage1997,
  author    = {Fischer, A. and Steinhage, V.},
  title     = {Ein modellbasiertes Konzept zur st{\"a}dteplanerischen Kartierung durch digitale Bildanalyse},
  doi       = {10.25643/bauhaus-universitaet.487},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20111215-4870},
  year      = {1997},
  abstract  = {There is an increasing need for 3D building extraction from aerial images for various applications such astown planning, environmental- and property-related studies. Aerial images usually reveal on one hand a certain amount of information not relevant for the given task of building extraction like vegetation, cars etc. On the other hand there is a loss of relevant information due to occlusions, low contrasts or disadvantageous perspectives. Therefore a promising concept for automated building reconstruction must incorporate a suffciantly complete model of the objects of interest. We propose a model-based approach to 3D building extraction from aerial images which reveals a tight coupling between a generic 3D object model and an explicit 2D image model. The generic object model employes domain specific volumetric primitives (i. e. building part models) and combination schemes. To cover the gap between 3D object models and 2D image data the image model is employed to predict the projective building appearences in aerial images. We present a strategy for a model-based building extraction based on the recognition-by-components principle and show first experimental results derived from international test sets},
  subject      = {Stadtplanung},
  language  = {de}
}