Semantic annotation of high resolution TerraSAR-X images using Information Mining

Author

Popescu, Anca ; Patrascu, Carmen ; Vaduva, Corina ; Gavat, Inge ; Datcu, Mihai

Author_Institution

Appl. Electron. & Inf. Eng., Univ. Politeh. Bucharest, Bucharest, Romania

fYear

2011

fDate

June 30 2011-July 1 2011

Firstpage

1

Lastpage

4

Abstract

This paper addresses the problem of High Resolution Synthetic Aperture Radar (SAR) image semantic annotation using a Knowledge Based Information Mining (KIM) System. The authors propose the assessment of the capabilities of KIM to perform an automatic urban classification on TerraSAR-X data. Four test sites have been used in the experiment to prove that the system is generic and data independent. The performance is evaluated by matching the results with GeoEye optical representations of the selected areas. For the evaluation a number of three classes are presented and discussed (water bodies, green urban areas and tall buildings).

Keywords

data mining; image classification; image resolution; knowledge based systems; performance evaluation; radar computing; radar imaging; radar resolution; synthetic aperture radar; GeoEye optical representations; KIM system; SAR image semantic annotation; TerraSAR-X data; automatic urban classification; green urban areas; high resolution TerraSAR-X images; high resolution synthetic aperture radar image semantic annotation; knowledge based information mining system; performance evaluation; tall buildings; water body; Earth; Image resolution; Optical imaging; Synthetic aperture radar; Tiles; Training; Urban areas;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Circuits and Systems (ISSCS), 2011 10th International Symposium on

Conference_Location

lasi

Print_ISBN

978-1-61284-944-7

Type

conf

DOI

10.1109/ISSCS.2011.5978724

Filename

5978724