A. Mainardi

University of Pavia, Pavia, Lombardy, Italy

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Publications (2)0 Total impact

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    ABSTRACT: In this paper we propose a comparison of the most important digital terrain model extraction techniques proposed in urban environments. In particular, we focus here on those based on digital signal processing applied to LIDAR data and on stereo photogrammetry. To this aim, we start from a data set composed by LIDAR and photo acquisitions over the town of Pavia, Northern Italy, and apply suitable DTM algorithms. Our investigation aims to provide a way to exploit both data sets. We were able to provide a complete DTM of Pavia with a very small degradation of the original measurements, as shown by a comparison with extremely precise ground control points
    Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International; 02/2001
  • Source
    F Dell 'acqua, P Gamba, A Mainardi
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    ABSTRACT: In this paper we consider the problem of DTM extraction in dense urban areas. To this aim, we need valuable and reliable data in the tiny open areas among buildings, and a suitable algorithm to reconstruct the terrain discarding these same structures. So, we compare first LIDAR and aerial photogrammetry by evaluating the relative accuracy of the three-dimensional reconstructed surface in the small open areas in the town center. Then, we characterize the digital terrain model (DTM) of the whole town using a filtering and building detection approach. It comes out, as expected, that the best filter width depends on the terrain and built structure characteristics, and we show that, after training on test areas comprising all possible combination, it is possible to obtain highly precision DTMs filling the built areas with surrounding terrain without significantly affecting the open areas.
    01/2001;

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7 Citations

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Institutions

  • 2001
    • University of Pavia
      • Department of Civil Engineering and Land
      Pavia, Lombardy, Italy