DocumentCode :
3074615
Title :
High-resolution mapping of river and estuary areas by using unmanned aerial and surface platforms
Author :
Mancini, Adriano ; Frontoni, Emanuele ; Zingaretti, Primo ; Longhi, Sauro
Author_Institution :
Dipt. di Ing. dell´Inf., Univ. Politec. delle Marche, Ancona, Italy
fYear :
2015
fDate :
9-12 June 2015
Firstpage :
534
Lastpage :
542
Abstract :
The accurate and precise mapping of Land Use / Land Cover (LU/LC) plays a key role in the management of a region. In particular the knowledge of areas close to rivers and / or estuaries is fundamental to prevent flooding preserving the integrity of artificial structures and natural flora and fauna. Actually the mapping is performed by processing remote sensed data with a typical GSD of 0.5m. The survey is expensive and the presence of clouds could invalidate an entire survey. This kind of survey is perfect for a monitoring over a long period while is not appropriate for a quasi real time imagery. The adoption of unmanned aerial vehicles (UAVs) is a proper solution owing to the low cost and the reduced time for the setup, but it lacks of a complete view of the area. The reason is the presence of canopy that occludes the view. We integrate the images acquired by an UAV characterized by a GSD of 0.03m with an Unmanned Surface Vehicle (USV) that collects images of the river from different point of view enhanced by an RGB-D sensor. The change detection algorithm applied to the collected data is based on a innovative hybrid classifier that fuses the benefit of pixel and object based approaches mapping the changes over a well defined temporal horizon.
Keywords :
autonomous aerial vehicles; image colour analysis; image resolution; land use; real-time systems; LU/LC; RGB-D sensor; UAV; USV; estuary areas; high-resolution mapping; land use/land cover; real time imagery; river; surface platforms; unmanned aerial platforms; unmanned aerial vehicles; unmanned surface vehicle; Image segmentation; Remote sensing; Rivers; Satellites; Three-dimensional displays; Training; Unmanned aerial vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Unmanned Aircraft Systems (ICUAS), 2015 International Conference on
Conference_Location :
Denver, CO
Print_ISBN :
978-1-4799-6009-5
Type :
conf
DOI :
10.1109/ICUAS.2015.7152333
Filename :
7152333
Link To Document :
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