Building detection from aerial images has many applications in fields like urban planning,
real-estate management, and disaster relief. In the last two decades, a large variety of …

Automated building extraction from high-resolution satellite imagery is a challenging
research problem, and several issues remain with respect to the variety of variables to be …

Building detection from two-dimensional high-resolution satellite images is a computer
vision, photogrammetry, and remote sensing task that has arisen in the last decades with the …

Segment-based classification is one of the popular approaches for object detection, where
the performance of the classification task is sensitive to the accuracy of the output of the …

Detection of small targets, more specifically cars, in aerial images of urban scenes, has
various applications in several domains, such as surveillance, military, remote sensing, and …

With the advent of high spatial resolution satellite imagery, automatic and semiautomatic
building extractions have turned into one of the outstanding research topics in the field of …

This paper further explores the uses of Bayesian Networks for detecting buildings from
digital orthophotos. This work differs from current research in building detection in so far as it …

Buildings can be introduced as a fundamental element for forming a city. Therefore, up-to-
date building maps have become vital for many applications, including urban mapping and …

Morphological building indexes (MBI) have proven to be effective tools for automated
building spatial-feature-extraction tasks in images from urban areas. However, owing to the …

This paper presents a novel approach to detect the buildings by automization of the training
area collecting stage for supervised classification. The method based on the fact that a 3d …