Neural Networks As A Tool For Georadar Data Processing
نویسندگان
چکیده
In this article a new neural network based method for automatic classification of ground penetrating radar (GPR) traces is proposed. The presented approach is based on a new representation of GPR signals by polynomials approximation. The coefficients of the polynomial (the feature vector) are neural network inputs for automatic classification of a special kind of geologic structure—a sinkhole. The analysis and results show that the classifier can effectively distinguish sinkholes from other geologic structures.
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ورودعنوان ژورنال:
- Applied Mathematics and Computer Science
دوره 25 شماره
صفحات -
تاریخ انتشار 2015