为了识别采集图像中的平面场景以及建筑物，利用摄像机参数，对平面场景及建筑物成像过程进行了几何分析。首先，根据相机参数以及相机飞行状态分析平面场景成像畸变；然后，对平面场景上的建筑物形状的成像进行几何分析；最后，将相机上采集到的平面场景及建筑物的图像像素数与真实平面场景及建筑物的尺寸建立联系。实验结果表明：已知相机参数及飞行状态的情况下，可以对平面场景及建筑物形状信息进行推导，从而完成目标识别与跟踪。本方法适合在典型建筑物、孤立建筑物、建筑群中具有明显形状特征等情况下对立体目标进行自动捕获与跟踪。

In order to recognize plane surface scenes and buildings in a collection image, the relationship of the building shape in a real world and the pixel numbers of building imaging in the collection image is analyzed by a geometry way. Firstly, the distortion of the plane surface imaging is computed, then the building shape imaging is analyzed. Finally, the relationship of the real world scene and the imaging scene is obtained. Experimental results indicate that the plane surface scene and building imaging information can be deduced by camera states and parameters, and the information can do great help for the recognition and tracking of targets. This method is suitable for three-dimensional automatic target acquisition and tracking, like typical buildings, isolated buildings, and buildings with obvious shape features in building groups.