Possibilities of Improvement of Image Classification via GIS Tools

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63468352%3A_____%2F14%3A%230000425" target="_blank" >RIV/63468352:_____/14:#0000425 - isvavai.cz</a>

Result on the web

—

DOI - Digital Object Identifier

—

Result language

angličtina

Original language name

Possibilities of Improvement of Image Classification via GIS Tools

Original language description

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.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

IN - Informatics

OECD FORD branch

—

Project

—

Continuities

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Publication year

2014

Confidentiality

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

Article name in the collection

5th International Conference on Cartography and GIS

ISBN

—

ISSN

1314-0604

e-ISSN

—

Number of pages

7

Pages from-to

96-102

Publisher name

Bulgarian Cartographic Assosiation

Place of publication

Sofia

Event location

Sofia

Event date

—

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

—