Nairit Barkataki – Nairit Barkataki

Size estimation of underground targets from GPR frequency spectra: A deep learning approach

Abstract. GPR (Ground Penetrating Radar) is a robust and effective device for identifying underground artefacts. Construction companies and civil engineers should be aware of the sizes of rebars and pipelines before and during construction work for various reasons. Most

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Estimation of soil moisture from GPR data using Artificial Neural Networks

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Soil moisture estimation is essential for understanding the water cycle and its impact on weather and climate. GPR based soil moisture estimation is non-invasive in nature and provides quicker results as compared to standard laboratory approaches. Deep learning algorithms …

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A CNN model for predicting size of buried objects from GPR B-Scans

Classification of Soil Types from GPR B-Scans using Deep Learning Techniques

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Abstract. Traditional methods for classification of soil types are time consuming, invasive and expensive. A non-invasive method like ground penetrating radar (GPR) provides a suitable way to classify soil types based on its electromagnetic properties. Deep learning algorithms have

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