skip to main content
Show Results with: Show Results with:

Searching for Viking Age Fortresses with Automatic Landscape Classification and Feature Detection

Remote Sensing, Feb 2019, Vol.11(16) [Peer Reviewed Journal]

Full text available

  • Title:
    Searching for Viking Age Fortresses with Automatic Landscape Classification and Feature Detection
  • Author: Stott, David ; Sindbæk, Søren
  • Found In: Remote Sensing, Feb 2019, Vol.11(16) [Peer Reviewed Journal]
  • Subjects: Denmark ; Aarhus Denmark ; Germany ; Terrain Models ; Deep Learning ; 10th Century ; Topography ; Viking Age ; Earth ; Remote Sensing ; Geomorphology ; Data Processing ; Landscape ; Machine Learning ; Landscape ; Fortresses ; Museums ; Cultural Resources ; Erosion Rates ; Learning Algorithms
  • Language: English
  • Description: Across the world, cultural heritage is eradicated at an unprecedented rate by development, agriculture, and natural erosion. Remote sensing using airborne and satellite sensors is an essential tool for rapidly investigating human traces over large surfaces of our planet, but even large monumental structures may be visible as only faint indications on the surface. In this paper, we demonstrate the utility of a machine learning approach using airborne laser scanning data to address a “needle-in-a-haystack” problem, which involves the search for remnants of Viking ring fortresses throughout Denmark. First ring detection was applied using the Hough circle transformations and template matching, which detected 202,048 circular features in Denmark. This was reduced to 199 candidate sites by using their geometric properties and the application of machine learning techniques to classify the cultural and topographic context of the features. Two of these near perfectly circular features are convincing...
  • Identifier: E-ISSN: 20724292 ; DOI: 10.3390/rs11161881

Searching Remote Databases, Please Wait