Study on roadbed disease recognition algorithm based on support vector machine

Author

Huasheng, Zou

Author_Institution

Coll. of Comput. Sci. & Technol., Wenzhou Univ., Wenzhou

fYear

2009

fDate

11-12 April 2009

Firstpage

362

Lastpage

365

Abstract

Based on the principle of support vector machines as well as the analysis to the characteristics of roadbed diseases, a new GPR echo signal recognition algorithm is brought up. By using the proposed method to identify the ground-penetrating radar measured data, the test results show that this algorithm is better than the neural network recognition algorithm and overcomes the shortcomings of the local minimum value and over-learning. The algorithm is suitable for ground-penetrating radar signal recognition and is an efficient algorithm.

Keywords

electrical engineering computing; ground penetrating radar; radar signal processing; support vector machines; GPR echo signal recognition; ground-penetrating radar measured data; neural network recognition algorithm; roadbed disease recognition algorithm; support vector machine; Character recognition; Diseases; Ground penetrating radar; Neural networks; Power harmonic filters; Radar detection; Signal processing; Signal synthesis; Support vector machine classification; Support vector machines; Algorithm; Ground Penetrating Radar; Roadbed Disease; Signal Recognition; Support Vector Machine;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis and Signal Processing, 2009. IASP 2009. International Conference on

Conference_Location

Taizhou

Print_ISBN

978-1-4244-3987-4

Type

conf

DOI

10.1109/IASP.2009.5054599

Filename

5054599