The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XL-3/W3
https://doi.org/10.5194/isprsarchives-XL-3-W3-307-2015
https://doi.org/10.5194/isprsarchives-XL-3-W3-307-2015
19 Aug 2015
 | 19 Aug 2015

COASTAL DIGITAL SURFACE MODEL ON LOW CONTRAST IMAGES

A.-M. Rosu, M. Assenbaum, Y. De la Torre, and M. Pierrot-Deseilligny

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.