Object Based Image Analysis for Urbanized Areas

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Object Based Image Analysis for Urbanized Areas

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Object Based Image Analysis for Urbanized Areas

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

DE - Zemský magnetismus, geodesie, geografie

OECD FORD obor

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Projekt

<a href="/cs/project/SP%2F4I5%2F212%2F07" target="_blank" >SP/4I5/212/07: Suburbánní rozvoj, suburbanizace a urban sprawl v České republice: omezení negativních důsledků na životní prostředí</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2010

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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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Počet stran výsledku

10

Strana od-do

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Název nakladatele

IOS Press BV

Místo vydání

Amsterdam, Netherlands

Místo konání akce

Chania, Crete

Datum konání akce

15. 6. 2009

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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