Among the different types of natural disasters, floods are the most devastating, widespread,
and frequent. Floods account for approximately 30% of the total loss caused by natural …

This paper presents a hybrid ensemble classifier combined synthetic minority oversampling
technique (SMOTE), random search (RS) hyper-parameters optimization algorithm and …

Inspection and documentation of masonry structures is a time-consuming and expensive
process that heavily relies on an engineer's expertise. This paper introduces a computer …

Digital Elevation Models (DEMs) are 3D representations of the Earth's surface and have
numerous applications in geomorphology, hydrology and ecology. Structure-from-Motion …

Vineyard classification is an important process within viticulture-related decision-support
systems. Indeed, it improves grapevine vegetation detection, enabling both the assessment …

3D scene classification has become an important research field in photogrammetry, remote
sensing, computer vision and robotics with the widespread usage of 3D point clouds. Point …

Point clouds are one of the most widely used data sources for spatial modeling. Artificial
intelligence approaches have become an important tool for understanding and extracting …

The analysis of three-dimensional point cloud data is becoming one of the most used
approaches to assess instabilities processes affecting rock slopes. With the increased …

Geospatial products, such as digital elevation models (DEMs), are important topographic
tools for tackling local flood studies. This study investigates the contribution of LiDAR …

ABSTRACT Three-dimensional (3D) reconstruction of a building can be facilitated by
correctly segmenting different feature points (eg in the form of boundary, fold edge, and …