Using pattern recognition with HOG to automatically detect reflection hyperbolas in ground penetrating radar data-Reference-Cited by-同舟云学术

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Using pattern recognition with HOG to automatically detect reflection hyperbolas in ground penetrating radar data

Published:2017-11 Issue: Volume: Page:
ISSN:
Container-title:2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA)
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Author:

Noreen T.,Khan Umar S.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8234831/8251917/08252064.pdf?arnumber=8252064

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Data-driven evaluation of building materials using Ground Penetrating Radar;Journal of Building Engineering;2024-10

2. GPR-Former: Detection and Parametric Reconstruction of Hyperbolas in GPR B-Scan Images With Transformers;IEEE Transactions on Geoscience and Remote Sensing;2024

3. From Data to D3 Model: Adaptive Subsurface Anomaly Detection in GPR Data;IEEE Transactions on Geoscience and Remote Sensing;2024

4. Investigation on road underground defect classification and localization based on ground penetrating radar and Swin transformer;International Journal for Simulation and Multidisciplinary Design Optimization;2024

5. Research on intelligent detection of urban road subgrade disease based on deep learning algorithm;Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023);2023-10-17

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