Staff Publications

Staff Publications

  • external user (warningwarning)
  • Log in as
  • language uk
  • About

    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

    Current refinement(s):

    Records 1 - 2 / 2

    • help
    • print

      Print search results

    • export

      Export search results

    • alert
      We will mail you new results for this query: keywords==Transportation
    Check title to add to marked list
    Transportation where people leave: An introduction
    Franklin, Rachel S. ; Leeuwen, Eveline S. van; Paez, Antonio - \ 2018
    In: Advances in Transport Policy and Planning / Franklin, Rachel S., Van Leeuwen, Eveline S., Paez, Antonio, Elsevier B.V. (Advances in Transport Policy and Planning ) - ISBN 9780128154540 - p. 1 - 14.
    Cities - Demographic aging - Exurbia - Population loss - Rural - Suburbia - Transportation

    Transportation means access: to jobs, information, communities, and services. When depopulation occurs a number of questions arise around the central query: what was and will be the role of transportation? This volume engages with several aspects of the depopulation-transportation topic and at multiple geographic scales—from the national and regional to the city- and neighborhood-level. In this chapter, we provide an overview of the challenges associated with population loss and how various aspects of transportation research intersect with these issues. We then summarize the chapters included in this volume, showing how they connect to larger emerging research themes, as well as to each other.

    Multitemporal classification without new labels : A solution with optimal transport
    Tuia, Devis ; Flamary, Rémi ; Rakotomamonjy, Alain ; Courty, Nicolas - \ 2015
    In: 2015 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images, Multi-Temp 2015. - Institute of Electrical and Electronics Engineers Inc. (2015 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images, Multi-Temp 2015 ) - ISBN 9781467371193
    Adaptation models - Buildings - Couplings - Estimation - Predictive models - Remote sensing - Transportation

    Re-using models trained on a specific image acquisition to classify landcover in another image is no easy task. Illumination effects, specific angular configurations, abrupt and simple seasonal changes make that the spectra observed, even though representing the same kind of surface, drift in a way that prevents a non-adapted model to perform well. In this paper we propose a relative normalization technique to perform domain adaptation, i.e. to make the data distribution in the images more similar before classification. We study optimal transport as a way to match the image-specific distributions and propose two regularization schemes, one unsupervised and one semi-supervised, to obtain more robust and semantic matchings. Code is available at Experiments on a challenging triplet of WorldView2 images, comparing three neighborhoods of the city of Zurich at different time instants, confirm the effectiveness of the proposed method that can perform adaptation in these non-coregistered and very different urban case studies.

    Check title to add to marked list

    Show 20 50 100 records per page

    Please log in to use this service. Login as Wageningen University & Research user or guest user in upper right hand corner of this page.