Detection and clustering of features in aerial images by neuron network-based algorithm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F15%3A33157585" target="_blank" >RIV/61989592:15310/15:33157585 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1117/12.2228918" target="_blank" >http://dx.doi.org/10.1117/12.2228918</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1117/12.2228918" target="_blank" >10.1117/12.2228918</a>
Alternative languages
Result language
angličtina
Original language name
Detection and clustering of features in aerial images by neuron network-based algorithm
Original language description
The paper presents the algorithm for detection and clustering of feature in aerial photographs based on artificial neural networks. The presented approach is not focused on the detection of specific topographic features, but on the combination of generalfeatures analysis and their use for clustering and backward projection of clusters to aerial image. The basis of the algorithm is a calculation of the total error of the network and a change of weights of the network to minimize the error. A classic bipolar sigmoid was used for the activation function of the neurons and the basic method of backpropagation was used for learning. To verify that a set of features is able to represent the image content from the user's perspective, the web application was compiled (ASP.NET on the Microsoft. NET platform). The main achievements include the knowledge that man-made objects in aerial images can be successfully identified by detection of shapes and anomalies. It was also found that the appropria
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
DE - Earth magnetism, geodesy, geography
OECD FORD branch
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Result continuities
Project
<a href="/en/project/EE2.3.20.0170" target="_blank" >EE2.3.20.0170: Building of Research Team in the Field of Environmental Modeling and the Use of Geoinformation Systems with the Consequence in Participation in International Networks and Programs</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of SPIE
ISBN
978-1-5106-0058-4
ISSN
0277-786X
e-ISSN
—
Number of pages
6
Pages from-to
1-6
Publisher name
SPIE
Place of publication
Bellingham (OR)
Event location
Singapour
Event date
Oct 23, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000367310300031