Title :
A neural network approach to the interpretation of ground penetrating radar data
Author :
Costamagna, E. ; Gamba, Paolo ; Lossani, S.
Author_Institution :
Dipt. di Elettronica, Pavia Univ., Italy
Abstract :
A neural procedure for the analysis of ground penetrating radar images is presented. The method works by adapting the input image to the search of some objects´ signatures, that are successively identified by means of a recognition step using a back-propagation neural network. The results on actual data showing buried pipe signatures present the same degree of accuracy than the analyses performed by a human operator
Keywords :
adaptive signal processing; backpropagation; geophysical signal processing; geophysical techniques; geophysics computing; neural nets; object detection; radar imaging; remote sensing by radar; terrestrial electricity; backpropagation; buried object detection; buried pipe; geoelectric method; geophysical measurement technique; ground penetrating radar; land surface; neural net; neural network; radar imaging; radar remote sensing; recognition step; terrain mapping; terrestrial electricity; Data analysis; Data mining; Ground penetrating radar; Image analysis; Neural networks; Noise reduction; Noise robustness; Performance analysis; Wavelet analysis; Wavelet domain;
Conference_Titel :
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4403-0
DOI :
10.1109/IGARSS.1998.702923
