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The side-looking geometry of SAR sensors hampers the interpretation of SAR images of urban areas. Simulation tools for illuminating 3D models of man-made objects by means of a virtual sensor support the interpretation of scattering effects by providing artificial images in the azimuth-range plane. In this paper, a simulation approach is presented which extends SAR simulation to three dimensions in...
In this work, we have looked into the problem of urban analysis using airborne LiDAR data based on the strategy of classification by segmentation. Segmentation is a key and hard step in the processing of 3D point clouds, which is not perfectly solved in view of different applications. A new 3d segmentation method incorporating the advantages of nonparametric and spectral graph clustering is presented...
In this paper, we address issues in traffic monitoring of urban areas using airborne LiDAR data. Our aim in this paper is to extract individual vehicles from common LiDAR data of urban areas, based on which the dynamical status of vehicles and other traffic-related parameters can be derived. A context-guiding bottom-up processing strategy is developed to accomplish the task. Ground level separation...
This article introduces a new approach to automatic car detection in monocular high resolution aerial images. The extraction is based on a 3D-model that describes the prominent geometric features of cars by a wireframe representation. Furthermore, vehicle color, windshield color, and intensity of a car's shadow area are included as radiometric features. During extraction, the model automatically adapts...
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