Feature Clustering for Orthophotomap Analysis

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F11%3A86080824" target="_blank" >RIV/61989100:27240/11:86080824 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICSMC.2011.6083683" target="_blank" >http://dx.doi.org/10.1109/ICSMC.2011.6083683</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICSMC.2011.6083683" target="_blank" >10.1109/ICSMC.2011.6083683</a>

Result language
angličtina
Original language name
Feature Clustering for Orthophotomap Analysis
Original language description
In our paper we use neural networks for the tuning of image feature extraction algorithms and for the analysis of orthophotomaps. 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, texture, etc.) as well as from the viewpoint of the shapes in the segment. We also present our approach to the validation of extracted features using a neural network. In the paper we present an experiment based on orthophotomap segment clustering using the formal concept analysis with a selected group of features.
Czech name
—
Czech description
—

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2011 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC)
ISBN
978-1-4577-0653-0
ISSN
1062-922X
e-ISSN
—
Number of pages
6
Pages from-to
307-312
Publisher name
IEEE
Place of publication
NEW YORK
Event location
Anchorage
Event date
Oct 9, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000298615100052

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