中文摘要：

针对传统建筑物变化检测方法没有考虑高程信息的缺点,提出了一种结合LiDAR点云数据和航空影像的建筑物三维变化检测方法,可同时提取建筑物高程变化信息和面积变化信息。首先将不同时期的LiDAR点云分别生成数字表面模型（DSM）;然后对不同时期的DSM进行差值、滤波和形态学操作,得到DSM变化区,并根据共线方程将其反投影到航空影像中,再使用航空影像的光谱、纹理等信息排除树木等伪变化区的干扰;最后计算高程变化值和面积变化值。试验结果表明,该方法能定量地提取高程和面积变化信息,提供更加全面准确的建筑物变化信息。

英文摘要：

As the elevation information is not considered in the traditional building change detection methods,this paper presents an algorithm of combining LiDAR data and aerial imagery for the 3D building change detection.With the proposed method,we can extract both the elevation change information and the area change information of the buildings at the same time.Firstly,two DSMs are generated using two periods of LiDAR data.Secondly,differencing,filtering and morphological operations are performed to get the changed DSM area,which is then projected onto the aerial images according to the collinearity equations.After that,the interference of the pseudo-changing areas such as trees is removed using spectrum and texture information of aerial image.Finally,the value of elevation changes and area changes are calculated.Experimental results show that the proposed algorithm can extract the change information of the elevation and area quantitatively,which can provide more comprehensive and accurate information for the building change detection.