Volume XL-3/W3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W3, 307-312, 2015
https://doi.org/10.5194/isprsarchives-XL-3-W3-307-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W3, 307-312, 2015
https://doi.org/10.5194/isprsarchives-XL-3-W3-307-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

  19 Aug 2015

19 Aug 2015

COASTAL DIGITAL SURFACE MODEL ON LOW CONTRAST IMAGES

A.-M. Rosu1, M. Assenbaum2, Y. De la Torre1, and M. Pierrot-Deseilligny3 A.-M. Rosu et al.
  • 1Bureau de Recherches Géeologiques et Minières, Montpellier, France
  • 2L'Avion Jaune, Montpellier, France
  • 3Ecole Nationale des Sciences Géographiques / Institut National de l'Information Géographique et Forestière, France

Keywords: UAV, low contrast, DSM, coastal survey, MicMac

Abstract. Coastal sandy environments are extremely dynamic and require regular monitoring that can easily be achieved by using an unmanned aerial system (UAS) including a drone and a photo camera. The acquired images have low contrast and homogeneous texture. Using these images and with very few, if any, ground control points (GCPs), it is difficult to obtain a digital surface model (DSM) by classical correlation and automatic interest points determination approach. A possible response to this problem is to work with enhanced, contrast filtered images. To achieve this, we use and tune the free open-source software MicMac.