Smart Detection of Underground Anomalies Using Convolutional Neural Network with Sliding Time Window
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1257-1_144
Reference8 articles.
1. Ali A, Ullah M, Barkat A, Raza WA, Qadir A, Qamar ZU (2021) Multi-channel analysis of surface waves (MASW) using dispersion and iterative inversion techniques: Implica- tions for cavity detection and geotechnical site investigation. Bull Eng Geol Environ 80:9217–9235
2. Inazaki T, Kawamura S, Tazawa O, Yamanaka Y, Kano N (2005) Near-surface cavity de- tection by high-resolution seismic reflection methods using short-spacing type land streamer. In: 18th EEGS Symposium on the Application of Geophysics to Engineering and Environmental Problems. European Association of Geoscientists and Engineers
3. Cardarelli E, Cercato M, Cerreto A, Di Filippo G (2010) Electrical resistivity and seismic refraction tomography to detect buried cavities. Geophys Prospect 58(4):685–695
4. Veeken PCH, Da Silva AM (2004) Seismic inversion methods and some of their con- straints. First break 22(6)
5. Aki K, Richards PG (1980) Quantitative seismology: Theory and methods. W.H. Freeman, New York
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