Detection of circular structures on satellite images

An unsupervised method is proposed for detecting circular structures on satellite images partly based on a version of the Hough Transform. This method consists of two major steps: the extraction of significant contours from the image, using mathematical morphology operators, and the detection of cir...

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Veröffentlicht in:International journal of remote sensing 1992, Vol.13 (2), p.319-335
Hauptverfasser: TAUD, H., PARROT, J.-F.
Format: Artikel
Sprache:eng
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Zusammenfassung:An unsupervised method is proposed for detecting circular structures on satellite images partly based on a version of the Hough Transform. This method consists of two major steps: the extraction of significant contours from the image, using mathematical morphology operators, and the detection of circular structures from the contours previously denned. The latter includes four substeps: individualization of the curves, decomposition of the curves into near-circular elements, application of the 'adaptive HT' version to each near-circular element, and computation of more precise results. As an example, the method is applied to a SPOT scene in Southern Peru to detect geological structures.
ISSN:0143-1161
1366-5901
DOI:10.1080/01431169208904041