Charting topographic maps based on UAV data using the image classification method
 
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Uniwersytet Rolniczy w Krakowie Katedra Geodezji, Poland
 
2
Uniwersytet Rolniczy w Krakowie Katedra Geodezji Rolnej, Katastru i Fotogrametrii, Poland
 
 
Publication date: 2019-06-30
 
 
Geomatics, Landmanagement and Landscape 2019;(2)
 
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ABSTRACT
A topographic map is a representation of the terrain, its landform and spatial elements present therein. Land surveying and photogrammetric measurements must be conducted in order to produce such cartographic document. The following must be done while obtaining informa- tion on topographic objects: determine the character and type of an object or phenomenon; determine the range of its occurrence; indicate a precise location. The next stage involves clas- sification of objects into relevant classes and categories, i.e. arable land, pastures, forests, water basins, technical infrastructure, buildings, and other. Then, the determined classes undergo the process of cartographic generalization by combining smaller elements into a single complex, determination of a common border of their occurrence, and application of relevant graphic symbols and colours. The measuring technique which provides quick and accurate topographic information about the surrounding area is the one that uses Unmanned Aerial Vehicles (UAV). Digital photographs taken during the flight are the basis for generating a high-quality orthophotomap. Accurate de- termination of the location of individual spatial elements allows large-scale cartographic docu- ments to be developed. This paper will present the method of charting topographic maps of rural areas based on orthophotomaps made from the photographs taken during the UAV flight. Supervised and unsupervised methods of object classification will be tested in order to increase the effectiveness of determination of types and occurrence range of individual topographic ob- jects, and the obtained results will be used to chart a topographic map of the studied area
ISSN:2300-1496
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