This paper reviews the state-of-the-art representation-based classification and detection
approaches for hyperspectral remote sensing imagery, including sparse representation …

Ground-penetrating radar (GPR) is a nondestructive testing technology that is widely applied
in infrastructure maintenance, archaeological research, military operations, and other …

In this study, the residual Convolutional Neural Network (CNN) with the Bidirectional Long
Short Time Memory (Bi-LSTM) model has proposed for the analysis of Ground Penetrating …

Ground penetrating radar (GPR), as a non-destructive and rapid detection instrument, has
been widely used for underground pipeline detection. However, as the interpretation of 3 …

Ground-penetrating radar (GPR) target detection and classification is a challenging task.
Here, we consider online dictionary learning (DL) methods to obtain sparse representations …

The ground penetrating radar (GPR) data in the complex detection environment is non-
stationary, non-Gaussian, and non-uniform, so the traditional noise attenuation methods are …

A recognition method is proposed to solve the problems in subgrade detection with ground
penetrating radar, such as massive data, time–frequency and difference in experience …

In order to improve asset knowledge and avoid third part damages during road works, the
localization of gas pipes in a non-destructive way has become a wide domain of research …

Abstract Synthetic Ground Penetrating Radar (GPR) target responses may be successfully
used for buried landmine classification purposes. This paper demonstrates that accurately …

Railroad ballast inspection is critical for the safety of both passenger and freight rail. Ground-
penetrating radar (GPR) has been utilized as a highly efficient nondestructive evaluation …