The knowledge of impervious surfaces, especially the magnitude, location, geometry, spatial
pattern of impervious surfaces and the perviousness–imperviousness ratio, is significant to a …

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 …

This work investigates the estimation of dense three-dimensional motion fields, commonly
referred to as scene flow. While great progress has been made in recent years, large …

The automatic extraction of objects from laser scans and images has been a topic of
research for decades. Nowadays, with new services expected, especially in the area of …

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 …

Advancements in digital sensor technology, digital image analysis techniques, as well as
computer software and hardware have brought together the fields of computer vision and …

We propose a model-based approach to automated 3D extraction of buildings from aerial
images. We focus on a reconstruction strategy that is not restricted to a small class of …

Algebraic projective geometry, with its multilinear relations and its embedding into
Grassmann-Cayley algebra, has become the basic representation of multiple view …

Now to ensure the quality of automatic extraction of buildings from aerial and space imagery
is not comprehensively understood. Dedicated efforts are needed in examining both the …

In this paper we present a novel approach for building detection from multiple aerial images
in dense urban areas. The approach is based on accurate surface reconstruction, followed …