Publication detail

Method of error assessment in image classification

BARTONĚK, D. BUREŠ, J. OPATŘILOVÁ, I. VITULA, A.

Original Title

Method of error assessment in image classification

Type

conference paper

Language

English

Original Abstract

The article describes a method for the determination of error rate in automated image classification and the improvement of accuracy of results by the filtering using the selected vector datasets of ZABAGED (Fundamental Base of Geographic Data in the Czech Republic) in geographic information system (GIS). The principle of method is based on metric spaces and uses the interpretation of three types of metrics: euclidian, time and thematic. In our case, the evaluation of error rate of the classification results is based on the thematic distance. Special method of assessment was proposed for this type of distance and its essence is a classification tree encoded into chain codes. The distance between values of thematic data is determined by comparing their chain codes. The method is semi-automatic with controlled degree of objectivity of achieved 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 CR. Input data were raster datasets of orthophoto with the resolution of 25 cm/1 pixel and vector layers of the route of communications of the ZABAGED CR. Due to the territorial coverage of the CR with the area of 64,350 km2, these were massive tasks with data volume of 500 GB. The whole data analysis was carried out in ArcGIS 10.0 environment with using purpose-built applications in Python language with support for ESRI libraries. The used technology of data analysis demonstrated the low error rate in the range of 2% - 3% on the whole modeled area.

Keywords

Error assessment, image classification, GIS

Authors

BARTONĚK, D.; BUREŠ, J.; OPATŘILOVÁ, I.; VITULA, A.

RIV year

2014

Released

17. 6. 2014

Publisher

SGEM2014

Location

Bulgaria

ISBN

978-619-7105-12-4

Book

14th GeoConference on Informatics, Geoinformatics and Remote Sensing

Edition

1

Edition number

1

ISBN

1314-2704

Periodical

International multidisciplinary geoconference SGEM

Year of study

2014

Number

III

State

Republic of Bulgaria

Pages from

745

Pages to

752

Pages count

8

BibTex

@inproceedings{BUT108187,
  author="Dalibor {Bartoněk} and Jiří {Bureš} and Irena {Opatřilová} and Alexej {Vitula}",
  title="Method of error assessment in image classification",
  booktitle="14th GeoConference on Informatics, Geoinformatics and Remote Sensing",
  year="2014",
  series="1",
  journal="International multidisciplinary geoconference SGEM",
  volume="2014",
  number="III",
  pages="745--752",
  publisher="SGEM2014",
  address="Bulgaria",
  doi="10.5593/SGEM2014/B23/S11.095",
  isbn="978-619-7105-12-4",
  issn="1314-2704"
}