Segmentation of remote sensing imagery based on quadtree structures

Author

Arellano, Olimpia ; Moctezuma, Miguel ; Parmiggiani, Flavio

Author_Institution

Fac. of Eng., Univ. Nacional Autonoma de Mexico, Mexico City, Mexico

Volume

2

fYear

1998

fDate

6-10 Jul 1998

Firstpage

1058

Abstract

A scheme for image segmentation is presented in order to combine spatial information, hierarchical representations and statistical methods. This approach utilizes a double criterion when a classification of the boundary is made in each level of the quadtree structure. Experimental results demonstrate the power of the authors´ method for remote sensing data such as SAR and airborne camera images

Keywords

geophysical signal processing; geophysical techniques; image segmentation; quadtrees; remote sensing; boundary classification; double criterion; geophysical measurement technique; hierarchical representation; image processing; image segmentation; land surface; quadtree structure; remote sensing; remote sensing imagery; spatial information combination; statistical method; terrain mapping; Clustering algorithms; Histograms; Image segmentation; Iterative algorithms; Pixel; Remote sensing; Smoothing methods; Spatial resolution; Statistical analysis; Synthetic aperture radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International

Conference_Location

Seattle, WA

Print_ISBN

0-7803-4403-0

Type

conf

DOI

10.1109/IGARSS.1998.699672

Filename

699672