TY - JOUR
T1 - Detection of circular structures on satellite images
AU - Taud, H.
AU - Parrot, J. F.
PY - 1992/1
Y1 - 1992/1
N2 - 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 coniours from the image, using mathematical morphology operators, and the detection of circular structures from the contours previously defined. 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.
AB - 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 coniours from the image, using mathematical morphology operators, and the detection of circular structures from the contours previously defined. 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.
UR - http://www.scopus.com/inward/record.url?scp=0026614565&partnerID=8YFLogxK
U2 - 10.1080/01431169208904041
DO - 10.1080/01431169208904041
M3 - Artículo
AN - SCOPUS:0026614565
SN - 0143-1161
VL - 13
SP - 319
EP - 335
JO - International Journal of Remote Sensing
JF - International Journal of Remote Sensing
IS - 2
ER -