The present work aims to introduce an efficient set of high spatial resolution (HSR) images in order to more fairly evaluate building detection algorithms. The introduced images are chosen from two recent HSR sensors (QuickBird and GeoEye-1) and based on several challenges of urban areas encountered in building detection such as diversity in building density, building dissociation, building sha...

This paper describes the potential of Radarsat-1 fine beam intensity SAR images in urban mapping and change detection. The main objective was to determine the possibility of building detection e.g. as a function of height, orientation, roof material and roof type in the Helsinki metropolitan region. Altogether 22235 buildings were used to estimate the effect of height, and then 14270 buildings ...

AprilTag detection for building measurement Kepa Iturralde, Jungcheng Shen, Thomas Bock Pages 589-592 (2023 Proceedings of the 40th ISARC, Chennai, India, ISBN 978-0-6458322-0-4, ISSN 2413-5844) Abstract: Building façade renovation with prefabricated panels requires installation supporting connectors. Obtaining exact locations and angles connectors is currently a time-consuming activity. The ne...

Semantic labeling is an active field in remote sensing applications. Although handling high detailed objects in Very High Resolution (VHR) optical image and VHR Digital Surface Model (DSM) is a challenging task, it can improve the accuracy of semantic labeling methods. In this paper, a semantic labeling method is proposed by fusion of optical and normalized DSM data. Spectral and spatial featur...

Automatic detection of buildings and changes in buildings from airborne laser scanner and image data is discussed. A new, improved method for change detection between an existing building map and building detection results has been developed. Corresponding building objects between the two datasets are found by analysing the overlaps of the buildings. Depending on the correspondences, change det...

In this paper we presented a novel approach for building detection from multiple aerial images in dense urban areas. The approach is based on accurate surface reconstruction, followed by extraction of visible building facades, then used as a main cue for building detection. For the facade detection a simple but nevertheless flexible and robust algorithm is proposed. It is based on observation t...