Object Based Image Analysis for Urbanized Areas
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F10%3A10000876" target="_blank" >RIV/00216208:11310/10:10000876 - 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
Object Based Image Analysis for Urbanized Areas
Original language description
Urbanized areas are characterized by high complexity and diversity caused by repeating of many features ? natural and man made. Object Based Image Analysis enables to reduce image complexity by its distribution into several levels of homogenous segments.It also operates with many tools for effective feature classification based not only on pixel values but also on feature shape, texture and etc. Object based classification of VHR QuickBird satellite imagery enabled to develop an effective classification method based on fuzzy model with membership functions for urbanized areas. Applicability of the model for different areas of the same QuickBird image has been proved. Though, the model is not applicable for suburban areas with high share of commercialsuburbanization land use/cover categories without significant improvements. Further improvements like elevation value classification rule implementation for building features have been recommended.
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/SP%2F4I5%2F212%2F07" target="_blank" >SP/4I5/212/07: Suburban development, suburbanisation and urban sprawl in the Czech Republic: tackling the negative impacts on the environment</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Imagin[e,g] Europe Proceedings of the 29th Symposium of the European Association of Remote Sensing Laboratories, Chania, Greece
ISBN
978-1-60750-493-1
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
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Publisher name
IOS Press BV
Place of publication
Amsterdam, Netherlands
Event location
Chania, Crete
Event date
Jun 15, 2009
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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