Shengming Guo

Deep Learning in Lunar Regolith Image Processing: A Review

Recent lunar missions have generated a growing demand for automated and reliable processing of lunar regolith images. However, imaging degradations, limited annotations, and the lack of paired clean–degraded reference data still hinder the robustness and transferability of existi...