Building detection in very high resolution (VHR) remote sensing images is crucial for many urban planning and management applications. Since buildings are elevated objects, the incorporation of elevation data provides a mean to reliable detection. However, almost all existing methods of elevation-based building detection must first generate a normalized Digital Surface Model (nDSM). This model ...

This paper deals with building change detection by supervised classification of image regions into 'built up' and 'non built up' areas. Regions are the connected components of low gradient values in a multi-spectral aerial image. Classes are learnt from spectral (colour, vegetation index) and elevation cues relatively to building polygons and non building areas in the existing database. Possibl...

The feasibility to develop a rapid urban seismic damage detection procedure utilizing satellite radar imagery is investigated. In direct observation of city-wide building loss, remote sensing damage detection techniques have shown merits in rapid damage detection in urban areas. Remote sensing technology has the capability of extracting buildings in urban scenes. Comparing “before” and “after” ...

In the building energy efficiency field, developing automatic and accurate fault detection and diagnosis methods is necessary in order to ensure optimal operations of systems and to save energy. In this paper first, fault detection analysis based on statistical methods where anomalies are detected through a comparison with neighborhood and averaged fault-free values and through a clustering tec...

Rapid urbanization and urban growth is continuing to be one of the crucial issues of global change affecting physical dimensions of cities. In this study, building growth change detection is investigated as buildings are one of the most dynamic structures in urban areas. The modified MBI is applied to extract building features to know how much area has changed. To accurate the position of build...

The availability of metric or sub-metric satellite images like Ikonos or Quickbird has enabled the fast and automatic detection of man-made structures for applications such as risk or damage assessment and change detection. In particular, the use of stereo pairs reveals the third dimension so distinctive for buildings and responsible for artefacts like shadow and occlusions complicating traditi...

We describe a new method for the detection and reconstruction of building in dense urban areas using high resolution aerial images. Our approach begins with the generation of a dense digital elevation model (DEM). A sparse disparity map is densiied using a region-based segmentation of the left aerial image: each detected region is tested to be planar in the disparity map. A strategy is proposed...

The robust detection of buildings in aerial images is an important part of the automated interpretation of these data. Applications are e.g. quality control and automatic updating of GIS data, automatic land use analysis, measurement of sealed areas for public authority uses, etc. As additional data like laser scan data is expensive and often simply not available, the presented approach is base...

Building Information Modeling (BIM) is recently becoming popular and a extremely economical resolution for information management in Architecture, Engineering Construction (AEC) industry. In Indian construction state of affairs most the projects are still using 2D CAD drawing his or her execution purpose. These drawings have lot issues during like miscommunication, misunderstanding time consumi...