 |
In reviewing related work, we see that most existing methods rely on physical attributes derived from Digital Elevation Models or texture analysis using algorithms like Local Binary Patterns, which often lack robustness. While recent studies have begun employing machine learning, such as the JAGAN framework for hyperspectral imagery or GPR-GAN for ground-penetrating radar, there remains a need for a specialized model that can effectively handle intermediate-frequency echo signals under data-constrained conditions.
|
IEEE/ICACT20260373 Slide.04
[Big Slide]
[YouTube]