Detection and classification of circular structures on SPOT images

Author

Parrot, Jean-Franqois ; Taud, Hind

Author_Institution

Dept. de Geotechtonque, Paris VI Univ., Bondy, France

Volume

30

Issue

5

fYear

1992

fDate

9/1/1992 12:00:00 AM

Firstpage

996

Lastpage

1005

Abstract

An unsupervised method for detecting structural features on satellite images that consists of three major steps is proposed. The extraction of contours, which depends on the texture encountered is achieved by an iterative filtering followed by several thresholds that generate binary images. The detection of the structures from the contours involves four substeps: individualization of the curves; decomposition of the curves into subcircular elements; application of a version of the Hough transform to each subcircular element; and computation of precise results. The parameters that discriminate the structures are computed. These data allow the selection of different families of structures that are being looked at. The method has been applied to the region of Azru

Keywords

feature extraction; geophysical techniques; geophysics computing; meteorite craters; remote sensing; 350 to 850 nm; Hough transform; SPOT; circular structures; classification; computer pattern recognition; contour extraction; geology; individualization; iterative filtering; land surface imaging; measurement; meteorite crater; remote sensing; satellite images; subcircular; technique; unsupervised method; Computer vision; Digital images; Filtering; Geology; Helium; Image generation; Pixel; Satellites; Shape; Smoothing methods;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/36.175334

Filename

175334