A sequential ECHO algorithm based on the integration of clustering and region growing techniques

Author

Garcia-Consuegra, J. ; Cisneros, G. ; Navarro, E.

Author_Institution

Dept. Inf., Castilla-La Mancha Univ., Spain

Volume

2

fYear

2000

fDate

2000

Firstpage

648

Abstract

This paper deals with the seed-pixel determination process in the object extraction step when a per-object based classifier is used. A sequential algorithm (EHO-IRGI, Extraction of Homogeneous Objects through the ISOTADA and Region Growing Integration), which integrates the clustering and region growing techniques in order to compensate the biased segmentation process in a sequential region growing, is proposed

Keywords

feature extraction; geophysical signal processing; geophysical techniques; image classification; image processing; terrain mapping; EHO-IRGI; Extraction of Homogeneous Objects; ISOTADA and Region Growing Integration; clustering; feature extraction; geophysical measurement technique; image classification; image processing; land surface; per-object based classifier; region growing; remote sensing; seed-pixel determination process; segmentation; sequential ECHO algorithm; sequential algorithm; sequential region growing; terrain mapping; the object extraction; Clustering algorithms; Couplings; Data mining; Electronic mail; Image generation; Image segmentation; Labeling; Remote sensing; Satellites; Telecommunications;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International

Conference_Location

Honolulu, HI

Print_ISBN

0-7803-6359-0

Type

conf

DOI

10.1109/IGARSS.2000.861659

Filename

861659