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- W40635253 abstract "Remote Sensing and Computer Vision, Universitaet Karlsruhe, Englerstr. 7, 76131, Karlsruhe, Germany Currently, as modern airborne small-footprint laser scanners (airborne LiDAR) are increasingly employed for various urban applications, e.g. building reconstruction, 3d city modeling and planning. Change detection for urban areas using LiDAR technique, which mainly served for damaged building assessment after unforeseen disasters, city ecology monitoring, etc, has been also entered into the scope of research. In contrast to common change detection tasks where the observed events span a long time range, the short-term dynamic refer to those events which frequently happen within a small temporal scale and are not easy and reliable to be detected by long-period observations. The short-term dynamical events have also become represent one of most important elements of urban changes and plays a key role in many applications. In this paper, we will propose approaches for detecting the short-term dynamic in view of change detection. To test and verify our approaches, multi-aspect airborne LiDAR data within a short revisiting interval and one-path LiDAR data, both of which are acquired over densely built-up areas, are applied respectively. For the multi-aspect data, we mainly deal with the anomaly events happing between every two revisiting flights. Then, it has to be distinguished between view-induced variants and real ones due to the acquisition setting of laser scanning. A spatial-context based height differencing method is introduced to describe and find the changed regions on the co-registered gridded surface. For the one-path data, the moving objects appearing in the urban traffic are our major issue. The scanning mechanism of airborne LiDAR leads to the motion artifacts for instantaneously moving vehicles. Our idea is to make use of this effect to classify the dynamical status of vehicles. The obtained results of experiments using simulated and real data showed us the feasibility and promising of the proposed approaches. Finally, this paper is concluded with present troubles and future works." @default.
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- W40635253 date "2009-01-01" @default.
- W40635253 modified "2023-09-23" @default.
- W40635253 title "Unveiling Short-Term Dynamic of Urban Areas with Airborne LiDAR Data for Change Detection" @default.
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