Orthophoto map feature extraction based on neural networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F11%3A86089247" target="_blank" >RIV/61989100:27240/11:86089247 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Orthophoto map feature extraction based on neural networks
Original language description
In our paper we use neural networks for tuning of image feature extraction algorithms and for the analysis of orthophoto maps. In our approach we split an aerial photo into a regular grid of segments and for each segment we detect a set of features. These features describe the segment from the viewpoint of general image analysis (color, tint, etc.) as well as from the viewpoint of the shapes in the segment. We also present our computer system that support the process of the validation of extracted features using a neural network. Despite the fact that in our approach we use only general properties of an images, the results of our experiments demonstrate the usefulness of our approach.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
DATESO 2011 : databases, texts, specifications, and objects : proceedings of the Dateso 2011 Workshop
ISBN
978-80-248-2391-1
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
216-225
Publisher name
Vysoká škola báňská - Technická univerzita, Fakulta elektrotechniky a informatiky, Katedra informatiky
Place of publication
Ostrava
Event location
Písek
Event date
Apr 20, 2011
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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