This study presents a novel approach for building change detection from digital surface models (DSMs), which are generated from the images acquired by a multi-line digital airborne sensor ADS40. Our approach is based on building extraction, which is one of the most challenging research fields. A scheme is proposed that allows efficient integration of a local surface normal angle transform (LSNA...

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 utilizes the ability of Bayesian Networks to provide probabilistic methods for evidence combination and, via training, to determine how such evidence should be weighted to maximize classification. In this vein, ...

The goal of our study was to develop an automatic change detection method based on laser scanner, aerial image and map data to be used in updating of building maps. The method was tested in a study area of 2.2 km near Helsinki. Buildings were first detected by segmenting a digital surface model (DSM) derived from laser scanner data and classifying the segments as buildings, trees and ground sur...

Several recent studies have shown that airborne laser scanning (ALS) of urban areas delivers valuable information for 3D city modelling and map updating. Building footprint detection from multi-temporal ALS lacks in comparability because of changing ALS flight parameters, flying season, interpolation settings if digital elevation models are used, and the ability of the used building detection m...

Automatic scene interpretation of aerial images is a major purpose of photogrammetry. Therefore, we want to improve building detection by exploring the "life-time" of stable and relevant image features in scale space. We use watersheds for feature extraction to gain a topologically consistent map. We will show that characteristic features for building detection can be found in all considered sc...

A novel building change index for automatic building change detection from high-resolution remote sensing imagery Xin Huang, Tingting Zhu, Liangpei Zhang & Yuqi Tang To cite this article: Xin Huang, Tingting Zhu, Liangpei Zhang & Yuqi Tang (2014) A novel building change index for automatic building change detection from high-resolution remote sensing imagery, Remote Sensing Letters, 5:8, 713-72...

Using airborne laser scanner data, buildings can be detected automatically, and their roof shapes can be reconstructed. The success rate of building detection and the level of detail of the resulting building models depend on the resolution of the laser scanner data, which is still lower than the resolution of aerial imagery. Building extraction from aerial images alone is difficult because of ...