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THE UNEXPECTED MORPHOMETRY IN DIGITAL TERRAIN MODEL DERIVED FROM UNMANNED AERIAL VEHICLE IMAGES

Assist. Prof. Dr. Dubravko Gajski, Dubravka Maurer, Dr. Sanja Samanovic

First published: 2017-06-20https://doi.org/10.5593/sgem2017/23/s10.037View metrics

Abstract

The wide availability of unmanned aerial vehicles (UAVs) equipped with GPS, inertial system and a digital camera makes them very affordable for many geospatial applications. Just about a decade, such applications were reserved exclusively for aerial photogrammetry. With the development and popularization of UAVs, the software was developed, that allows a very high degree of automation in the preparation of standard photogrammetric products, such as digital orthophoto (DOF) and digital terrain model (DTM). However, during imaging especially in large scales, for which the UAVs mostly are used, errors occur in the modeling of DTMs using the software, based only on use of the Structure from Motion (SFM) algorithm. This paper will explore and show unexpected (incorrect) morphometry, which appears by use of the SfM-algorithm to produce the DTM, and consequently to produce orthophotos. The images obtained by digital photogrammetric camera Vexcel UltracamD will be measured subjectively at a digital photogrammetric workstation using stereoscopy, to get the reference set of data. The second dataset will be obtained by eBee RTK UAV using the procedure and software, as proposed by producer. These two datasets will be compared, and the overall discrepancies will be calculated and presented.

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Publication details

Title
THE UNEXPECTED MORPHOMETRY IN DIGITAL TERRAIN MODEL DERIVED FROM UNMANNED AERIAL VEHICLE IMAGES
Authors
Assist. Prof. Dr. Dubravko Gajski, Dubravka Maurer, Dr. Sanja Samanovic
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2017
Pages
303-308
SWS Citekey
Gajski,201710303308
ISSN
1314-2704
ISBN
978-619-7408-03-4
Language
en
Publication type
Conference Paper
Keywords
photogrammetryDTMmorphometrySfM-algorithm
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