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Wavelet-Radon Transform for Pavement Distress by Ashis Kumar Das is a document available to read on EtoBox.
What is Wavelet-Radon Transform for Pavement Distress about?
This paper presents an automatic system for pavement distress classification using Wavelet–Radon Transform and Dynamic Neural Network, achieving a correct classification rate over 99%. The proposed method improves upon traditional techniques by effectively extracting features and utilizing neural networks for accurate crack detection. The study demonstrates the efficiency of the WR + DNN approach in automating pavement distress detection and classification.
- Author
- Ashis Kumar Das
- Language
- EN