Integrating Shipborne Images with Multichannel Deep Learning for Landslide Detection

0 INTRODUCTION Landslide disasters in recession zones along riverbanks impose significant global social, economic, and ecological damage. These areas are particularly susceptible to landslides. They inflict significant harm due to fluctuating water levels (Meng et al., 2023; Dai et al., 2021; Li et al., 2021). This, in turn, endangers the safety and accessibility of roads and waterways adjacent to rivers, and hydropower station and reservoir security (Yan et al., 2022; Guo et al., 2020; Tang et al., 2017).