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

Author

Delbò, S. ; Gamba, P. ; Roccato, D.

Author_Institution

Dipt. di Elettronica, Pavia Univ., Italy

Volume

38

Issue

3

fYear

2000

fDate

5/1/2000 12:00:00 AM

Firstpage

1447

Lastpage

1451

Abstract

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

Keywords

buried object detection; geophysical signal processing; geophysical techniques; pattern recognition; radar imaging; remote sensing by radar; terrain mapping; algorithm; automatic interpretation; buried object detection; fuzzy clustering; fuzzy shell clustering; geophysical measurement technique; ground penetrating radar; hyperbolic shape; hyperbolic signature; land surface; pattern recognition; radar remote sensing; shape; shell thickness; subsurface radar image; terrain mapping; wavelet denoising; Clustering algorithms; Ground penetrating radar; Image analysis; Image recognition; Noise reduction; Pattern analysis; Pattern recognition; Shape measurement; Target recognition; Thickness measurement;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/36.843039

Filename

843039