Title :
Application of possibilistic shell-clustering to the detection of craters in real-world imagery
Author :
Barni, Mauro ; Mecocci, Alessandro ; Perugini, Gianluca
Author_Institution :
Dept. of Inf. Eng., Siena Univ., Italy
Abstract :
Automatic craters detection in remote sensing images is addressed by means of clustering-based circle detection. With respect to classical algorithms based on fuzzy shell-clustering, solutions are proposed to make circle extraction robust against noise and non-circular structures. The proposed algorithm operates by grouping edge pixels into connected subgroups, and by fitting a circle to each group through possibilistic clustering. Circles are refined through PCS clustering, and validated by means of geometrical considerations. The effectiveness of the proposed approach for craters detection is confirmed by experimental results
Keywords :
feature extraction; geophysical signal processing; geophysical techniques; meteorite craters; remote sensing; terrain mapping; circle; circle detection; circular feature; classical algorithm; clustering-based; crater; detection; edge pixel grouping; feature extraction; fuzzy shell-clustering; geophysical measurement technique; image processing; land surface; possibilistic shell-clustering; remote sensing; terrain mapping; Clustering algorithms; Data analysis; Data mining; Detection algorithms; Image analysis; Image edge detection; Noise robustness; Personal communication networks; Prototypes; Remote sensing;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-6359-0
DOI :
10.1109/IGARSS.2000.860457
