Currently, as modern airborne small-footprint laser scanners (airborneLiDAR) are increasingly employed for various urban applications, e.g. building reconstruction, 3d city modelingand planning. Change detection for urban areas using LiDAR technique, which mainly served for damaged building assessmentafter 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-termdynamic refer to those events which frequently happen within a small temporal scale and are not easy andreliable to be detected by long-period observations. The short-term dynamical events have also become representone 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-termdynamic in view of change detection. To test and verify our approaches, multi-aspect airborne LiDAR data withina short revisiting interval and one-path LiDAR data, both of which are acquired over densely built-up areas, areapplied respectively. For the multi-aspect data, we mainly deal with the anomaly events happing between every two revisitingflights. Then, it has to be distinguished between view-induced variants and real ones due to the acquisitionsetting of laser scanning. A spatial-context based height differencing method is introduced to describe and find thechanged regions on the co-registered gridded surface. For the one-path data, the moving objects appearing in theurban traffic are our major issue. The scanning mechanism of airborne LiDAR leads to the motion artifacts for instantaneouslymoving 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 ofthe proposed approaches. Finally, this paper is concluded with present troubles and future works.     «

Currently, as modern airborne small-footprint laser scanners (airborneLiDAR) are increasingly employed for various urban applications, e.g. building reconstruction, 3d city modelingand planning. Change detection for urban areas using LiDAR technique, which mainly served for damaged building assessmentafter 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 ran...     »