Possibilities of Improvement of Image Classification via GIS Tools

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Possibilities of Improvement of Image Classification via GIS Tools

Popis výsledku v původním jazyce

The article deals with the possibilities of the enhancement of results of image classification using tools of geographic information systems (GIS). Theoretical solutions are based on the theory of rough sets. Spatial analyses in GIS are the implementation tools of the theoretical model. Improved results of image classification are achieved by filtration of added layer with clearly defined classes and also by manually editing in the necessary extent in GIS. The authors of this paper show that the filtration using more than one layer leads to an enormous increase of the complexity of the whole process with inadequate contribution of the quality of classification results. The proposed method was tested in the project of data analysis of storage of gas facilities under certain types of terrain surface in the Czech Republic (CR). This analysis was done in order to determine reproductive values of gas facilities (pipelines) and the valuation of costs which would be necessary to spend for building new networks. The authors solved this project for the GasNet, Ltd. Company which is a part of a RWE group in the Czech Republic. Input data were orthophoto with the resolution of 25 cm/pixel and selected layers of communications of Fundamental Base of Geographic Data of the CR (ZABAGED). Due to the territorial coverage with the area of 64,350 km2, these were massive tasks with data volume of 500 GB. Processing was carried out in ArcGIS 10.0 environment via special created application in Python language with support of the ESRI libraries. The results demonstrated the efficacy (effectiveness) of this process and the reducing of the error rate to 2% - 3 % was achieved over the modeled area for given purpose.

Název v anglickém jazyce

Possibilities of Improvement of Image Classification via GIS Tools

Popis výsledku anglicky

The article deals with the possibilities of the enhancement of results of image classification using tools of geographic information systems (GIS). Theoretical solutions are based on the theory of rough sets. Spatial analyses in GIS are the implementation tools of the theoretical model. Improved results of image classification are achieved by filtration of added layer with clearly defined classes and also by manually editing in the necessary extent in GIS. The authors of this paper show that the filtration using more than one layer leads to an enormous increase of the complexity of the whole process with inadequate contribution of the quality of classification results. The proposed method was tested in the project of data analysis of storage of gas facilities under certain types of terrain surface in the Czech Republic (CR). This analysis was done in order to determine reproductive values of gas facilities (pipelines) and the valuation of costs which would be necessary to spend for building new networks. The authors solved this project for the GasNet, Ltd. Company which is a part of a RWE group in the Czech Republic. Input data were orthophoto with the resolution of 25 cm/pixel and selected layers of communications of Fundamental Base of Geographic Data of the CR (ZABAGED). Due to the territorial coverage with the area of 64,350 km2, these were massive tasks with data volume of 500 GB. Processing was carried out in ArcGIS 10.0 environment via special created application in Python language with support of the ESRI libraries. The results demonstrated the efficacy (effectiveness) of this process and the reducing of the error rate to 2% - 3 % was achieved over the modeled area for given purpose.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

5th International Conference on Cartography and GIS

ISBN

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ISSN

1314-0604

e-ISSN

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Počet stran výsledku

7

Strana od-do

96-102

Název nakladatele

Bulgarian Cartographic Assosiation

Místo vydání

Sofia

Místo konání akce

Sofia

Datum konání akce

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Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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