The monitoring of building activity (erection of new buildings, demolishing buildings and especially the change of building heights) by manual inspection of space and aerial images is time consuming and a source of errors. A detection of building changes based on the comparison of digital surface models (DSMs) is more reliable. For this study DSMs have been generated based on aerial images, an IKONOS and a GeoEye-1 stereo pair taken from 2007 up to 2009. By pixel based matching with dynamic programming, semiglobal matching and least squares matching the visible surface has been determined. Semiglobal matching leads to sharp building shapes, while the area based least squares matching smoothes the height model and has more problems in areas ...
.This study employed an airborne laser scanner to detect changes of buildings by acquiring a digital...
Building change detection is important for urban area monitoring, disaster assessment and updating g...
Recent sensors give valuable data for remote sensing applications. Among these, building and change...
The monitoring of building activity (erection of new buildings, demolishing buildings and especially...
The monitoring of building activity (erection of new buildings, demolishing buildings and especially...
In this paper, a workflow is proposed to detect 3D building changes in urban and sub-urban areas usi...
Monitoring of urban areas using remote sensing data requires reliable change detection techniques. W...
Building change detection is a major issue for urban area monitoring. Due to different imaging condi...
In this paper, a workflow is proposed to detect 3D building changes in urban and sub-urban areas usi...
A new method for building change detection from Digital Surface Models (DSM) and multi-spectral imag...
The geometric resolution of very high resolution optical space sensors like IKONOS, QuickBird and Or...
There is a great demand for studying the changes of buildings over time. The current trend for build...
Up-to-date geodata is important for a lot of applications like disaster management, or urban plannin...
Digital Surface Models (DSMs) generated from satellite stereo imagery provide valuable but not compr...
Building change detection is important for urban area monitoring, disaster assessment and updating g...
.This study employed an airborne laser scanner to detect changes of buildings by acquiring a digital...
Building change detection is important for urban area monitoring, disaster assessment and updating g...
Recent sensors give valuable data for remote sensing applications. Among these, building and change...
The monitoring of building activity (erection of new buildings, demolishing buildings and especially...
The monitoring of building activity (erection of new buildings, demolishing buildings and especially...
In this paper, a workflow is proposed to detect 3D building changes in urban and sub-urban areas usi...
Monitoring of urban areas using remote sensing data requires reliable change detection techniques. W...
Building change detection is a major issue for urban area monitoring. Due to different imaging condi...
In this paper, a workflow is proposed to detect 3D building changes in urban and sub-urban areas usi...
A new method for building change detection from Digital Surface Models (DSM) and multi-spectral imag...
The geometric resolution of very high resolution optical space sensors like IKONOS, QuickBird and Or...
There is a great demand for studying the changes of buildings over time. The current trend for build...
Up-to-date geodata is important for a lot of applications like disaster management, or urban plannin...
Digital Surface Models (DSMs) generated from satellite stereo imagery provide valuable but not compr...
Building change detection is important for urban area monitoring, disaster assessment and updating g...
.This study employed an airborne laser scanner to detect changes of buildings by acquiring a digital...
Building change detection is important for urban area monitoring, disaster assessment and updating g...
Recent sensors give valuable data for remote sensing applications. Among these, building and change...