A neural network approach to the interpretation of Ground Penetrating Radar data

被引：7

作者：

Costamagna, E ^{[1
]}

Gamba, P ^{[1
]}

Lossani, S ^{[1
]}

机构：

[1] Univ Pavia, Dipartimento Elettr, I-27100 Pavia, Italy

来源：

IGARSS '98 - 1998 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, PROCEEDINGS VOLS 1-5: SENSING AND MANAGING THE ENVIRONMENT | 1998年

关键词：

D O I：

10.1109/IGARSS.1998.702923

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

In this paper 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.

引用

页码：412 / 414

页数：3