Object detection in optical remote sensing images, being a fundamental but challenging
problem in the field of aerial and satellite image analysis, plays an important role for a wide …

New digital systems for the processing of photogrammetric and remote sensing images have
led to new approaches to information extraction for mapping and Geographic Information …

In this study, we propose a novel methodology for automated detection of buildings from
single very-high-resolution (VHR) multispectral images. The methodology uses the principal …

Internal self-diagnosis and external evaluation of the obtained results are of major
importance for the relevance of any automatic system for practical applications. Obviously …

We describe a method to detect buildings and construct 3-D shape descriptions of buildings
from a monocular aerial image with a general viewpoint. A grouping process is used to …

The detection of cracks in concrete infrastructure is a problem of great interest. In particular,
the detection of cracks in buried pipes is a crucial step in assessing the degree of pipe …

This paper introduces a new approach for the automated detection of buildings from
monocular very high resolution (VHR) optical satellite images. First, we investigate the …

This paper deals with an approach for extracting the 3D shape of buildings from high-
resolution Digital Elevation Models (DEMs), having a grid resolution between 0.5 and 5 m …

Automatic 3D building reconstruction has becoming increasingly important for a number of
applications. The reconstruction of buildings using only aerial images as data source has …

In this study, a deep learning (DL)-based approach is proposed for the detection and
reconstruction of buildings from a single aerial image. The pre-required knowledge to …