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A fuzzy shell clustering approach to recognize hyperbolic signatures in subsurface radar images

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3 Author(s)
Delbo, S. ; Dipt. di Elettronica, Pavia Univ., Italy ; Gamba, P. ; Roccato, D.

The authors propose a pattern recognition approach to analyze subsurface radar images and recognize the hyperbolic signatures produced by targets. After enhancing these signatures using a wavelet denoising procedure, pixels are grouped into significant hyperbolic shapes by fuzzy clustering. The approach also provides a validation measure for each recognized shape using so-called “shell thickness”. Excellent experimental results justify the use of this algorithm for automatic interpretation of subsurface radar images

Published in:

Geoscience and Remote Sensing, IEEE Transactions on  (Volume:38 ,  Issue: 3 )

Date of Publication:

May 2000

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