Three-dimensional (3-D) urban models are an integral part of numerous applications, such
as urban planning and performance simulation, map** and visualization, emergency …

Automatic and accurate semantic segmentation from high-resolution remote-sensing images
plays an important role in the field of aerial images analysis. The task of dense semantic …

Sky/cloud images captured by ground-based cameras (aka whole sky imagers) are
increasingly used nowadays because of their applications in a number of fields, including …

Creating photorealistic building models from large-scale airborne point clouds is an
important aspect of urban modeling. Given the complexity of airborne points (ie, noise …

This paper presents a novel topologically aware 2.5-D building modeling methodology from
airborne laser scanning point clouds. The building reconstruction process consists of three …

The reconstruction of urban buildings from large-scale airborne laser scanning point clouds
is an important research topic in the geoscience field. Large-scale urban scenes usually …

This paper presents a new framework for automatically creating compact building models
from aerial LiDAR point clouds, where each point is known to belong to the class building …

In this paper, we report the outcomes of the 2015 data fusion contest organized by the Image
Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and …

With the development of cyber technology, the intelligence of power systems has increased,
and cyber-physics is highly integrated and mutually constrained. In this paper, a globalized …

Information extraction and three-dimensional (3D) reconstruction of buildings using the
vehicle-borne laser scanning (VLS) system is significant for many applications. Extracting …