In this paper, we propose a Convolutional Support Vector Machine (CSVM) network for the
analysis of Ground Penetrating Radar B Scan (GPR B Scan) images. Similar to a …

Currently, numerous deep learning (DL) methods have been proposed for the recognition of
ground penetrating radar (GPR) B-scan images. Due to the sensitivity of GPR imaging to …

Abstract Manual processing of Ground Penetrating Radar (GPR) images is a very time-
intensive task. The authors proposed a novel computer vision-based method for automatic …

The performance of ground-penetrating radar (GPR) is greatly influenced by the cross
coupling between the transmitter and the receiver, and the response from the background …

Ground-penetrating radar (GPR) is a well-known geophysical electromagnetic method used
to detect the underground facilities such as landmines, pipelines, and cavities. In general …

For hyperspectral image classification, this paper proposes a novel adaptive kernel sparse
representation method based on multiple feature learning (AKSR-MFL). Firstly, multiple …

This paper addresses the problem of wall clutter mitigation and image reconstruction for
through-wall radar imaging (TWRI) of stationary targets by seeking a model that incorporates …

Ground-penetrating radar (GPR) is an important nondestructive testing (NDT) tool for the
underground exploration of urban roads. However, due to the large amount of GPR data …

Due to the dynamic and uncertain nature of the autonomous driving environment, traditional
detection methods are ineffective in detecting complex and diverse anomalies. Additionally …

Through-the-wall radar imaging is a sensing technology that can be used by first responders
to see through obscure barriers during search-and-rescue missions or deployed by law …