Infrared technology is widely used in buried object detection since it can capture the heat radiated outward from target objects. Compared to visible images, infrared images present poor resolution, low contrast, and fuzzy visual effect, making challenging detect objects, specifically complex backgrounds. In recent years, deep learning-based methods have made significant improvements tasks. How...

To accommodate rapid changes in the real world, cognition system of humans is capable continually learning concepts. On contrary, conventional deep models lack this capability preserving previously learned knowledge. When a neural network fine-tuned to learn new tasks, its performance on trained tasks will significantly deteriorate. Many recent works incremental object detection tackle problem ...

A linear inversion scheme for microwave imaging of buried objects is presented in which arbitrary antennas are accounted for through their plane-wave transmitting and receiving spectra. INTRODUCTION Ground penetrating radar (GPR) is an efficient tool for microwave imaging of buried objects. Within the concept of diffraction tomography, as proposed by Devaney [1], several linear inversion scheme...