This paper surveys the state-of-the-art automatic object extraction techniques from aerial
imagery. It focuses on building extraction approaches, which present the majority of the work …

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 …

The identification and annotation of buildings has long been a tedious and expensive part of
high-precision vector map production. The deep learning techniques such as fully …

Building density information is fundamentally important for urban design, planning and
management and for urban environmental studies. This paper demonstrates that Building …

This dissertation addresses the topic of automatic Digital Surface Model (DSM) generation
from linear array images. Research on this issue is mainly motivated by the following facts …

Automatic detection and description of cultural features, such as buildings, from aerial
images is becoming increasingly important for a number of applications. This task also offers …

In this paper, two main approaches for automatic building detection and localization using
high spatial resolution imagery and LiDAR data are compared and evaluated: thresholding …

Building activities are inadequately monitored during construction projects when attempting
to satisfy the need for information, especially in those cases of unforeseen events and …

Available and accessible three-dimensional (3D) urban morphology data have become
essential for extensive academic research on built-up environments and urban climates. A …

Major waste streams in urban areas result from the demolition of buildings. In the case of
lack of data on demolition waste generation at the municipal level, the quantity and …