Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W3, 307-312, 2015
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3-W3/307/2015/
doi: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
COASTAL DIGITAL SURFACE MODEL ON LOW CONTRAST IMAGES
A.-M. Rosu1, M. Assenbaum2, Y. De la Torre1, and M. Pierrot-Deseilligny3 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.
Conference paper (PDF, 6168 KB)


Citation: Rosu, A.-M., Assenbaum, M., De la Torre, Y., and Pierrot-Deseilligny, M.: COASTAL DIGITAL SURFACE MODEL ON LOW CONTRAST IMAGES, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W3, 307-312, doi:10.5194/isprsarchives-XL-3-W3-307-2015, 2015.

BibTeX EndNote Reference Manager XML