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In contrast to conventional airborne multi-echo laser scanner systems, full-waveform (FW) lidar systems are able to record the entire emitted and backscattered signal of each laser pulse. Instead of clouds of individual 3D points, FW devices provide connected 1D profiles of the 3D scene, which contain more detailed and additional information about the(More)
Modern space borne SAR sensors provide geometric resolution of one meter, airborne systems even higher. In data of this kind many features of urban objects become visible, which were beyond the scope of radar remote sensing only a few years ago. However, layover and occlusion issues inevitably arise in undulated terrain and urban areas because of the(More)
We propose a context-based classification method for point clouds acquired by full waveform airborne laser scanners. As these devices provide a higher point density and additional information like echo width or type of return, an accurate distinction of several object classes is possible. However, especially in dense urban areas correct labelling is a(More)
The spatial resolution of state-of-the-art synthetic aperture radar (SAR) sensors enables the structure analysis of urban areas. The appearance of buildings in magnitude images in settlements is dominated by effects of the inherent oblique scene illumination, such as layover, radar shadow and salient lines of bright scattering caused by direct reflection or(More)
Lidar waveforms are 1-D signals representing a train of echoes caused by reflections at different targets. Modeling these echoes with the appropriate parametric function is useful to retrieve information about the physical characteristics of the targets. This paper presents a new probabilistic model based upon a marked point process which reconstructs the(More)
The GESTALT-System is a stratified architecture for challenging computer vision tasks. This contribution focuses on the 3rd and 4th layer of it – the grouping and decision layers. As example application building recognition from high resolution SAR-Data is presented. The 3rd layer contains an assessment driven perceptual grouping process with any-time(More)
Lidar waveforms are 1D signal consisting of a train of echoes where each of them correspond to a scattering target of the Earth surface. Modeling these echoes with the appropriate parametric function is necessary to retrieve physical information about these objects and characterize their properties. This paper presents a marked point process based model to(More)
Airborne SAR systems allow a flexible ground mapping with high geometric resolution, independent from daytime and weather conditions. This offers the opportunity of using this technology for the analysis of built-up areas. However, the oblique SAR illumination limits the visibility of certain objects in urban areas depending on the viewing direction.(More)
The improved quality of InSAR data suggests to utilise such data for building detection. But, the phase information from which the height data is calculated, is often severely disturbed, depending on the signal to noise ratio. In this paper we refer to investigations to stabilise and improve the InSAR height data. After speckle filtering, a segmentation of(More)