Coastal digital surface model on low contrast images

A.-M. Rosu (1) , Michel Assenbaum (2) , Ywenn de la Torre (1) , Marc Pierrot-Deseilligny (3)

1 BRGM - Bureau de Recherches Géologiques et Minières (BRGM)
2 L'Avion Jaune
3 ENSG - École nationale des sciences géographiques

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.

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

Domains: Earth Sciences

A.-M. Rosu, Michel Assenbaum, Ywenn de la Torre, Marc Pierrot-Deseilligny. Coastal digital surface model on low contrast images. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015, XL-3/W3, pp.307 - 312. ⟨10.5194/isprsarchives-xl-3-w3-307-2015⟩. ⟨hal-03699675⟩