Real-time object detection based on UAV remote sensing is widely required in different
scenarios. In the past 20 years, with the development of unmanned aerial vehicles (UAV) …

The recent and growing development and availability of unmanned aerial vehicles/systems
(UAV, UAS, or “drones”) in volcanology has promoted a significant advance in volcanic …

Natural hazards such as landslides impose very high risks to the community and
infrastructures. To mitigate such risk, proper long-term engineering solutions are must …

Landslides are one of the major factors threatening human life and social development.
Monitoring and early warning of landslides are important parts of disaster prevention and …

Compressive spectral image reconstruction is a critical method for acquiring images with
high spatial and spectral resolution. Current advanced methods which involve designing …

This article offers a comprehensive AI-centric review of deep learning in exploring landslides
with remote-sensing techniques, breaking new ground beyond traditional methodologies …

Spectral image reconstruction is an important task in snapshot compressed imaging. This
paper aims to propose a new end-to-end framework with iterative capabilities similar to a …

Rapid slope instabilities (ie, rockfalls) involving highway networks in mountainous areas
pose a threat to facilities, settlements and life, thus representing a challenge for asset …

The task of reconstructing a 3D cube from a 2D measurement is not well-defined in spectral
imaging. Unfortunately, existing Deep Unfolding Network (DU) and End-to-End (E2E) …

Traditional structural and engineering geological survey data can only be acquired at the
bottom of slopes or by climbing high rock walls in most quarries; these data frequently …