COASTAL DIGITAL SURFACE MODEL ON LOW CONTRAST IMAGES

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, grou...

Full description

Saved in:
Bibliographic Details
Main Authors: Rosu, A.-M., Assenbaum, M., De la Torre, Y., Pierrot-Deseilligny, M.
Format: Conference Proceeding
Language:English
Subjects:
Earth Sciences
Sciences of the Universe
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:2194-9034
1682-1750
2194-9034
DOI:10.5194/isprsarchives-XL-3-W3-307-2015