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 |
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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. |
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ISSN: | 0143-1161 1366-5901 |
DOI: | 10.1080/01431169208904041 |