中文摘要：

高分辨率遥感影像具有场景复杂、目标种类多样、同一目标呈现多种形态等特点，给建筑物检测带来困难。近年来，可变形部件模型（deformable part model，DPM）被广泛应用到模式识别领域，并且在自然场景的目标识别方面取得很好的效果。结合可变形部件模型，提出一种针对高分辨率遥感影像中建筑物的检测方法，将建筑物看作可变形部件的组合，通过训练得到其对应的参数模板，并采用滑动窗口的方式遍历待检测的影像，判断其中是否存在建筑物目标。通过对分辨率为0．5m的高分辨率遥感影像的实验证明了方法的有效性。

英文摘要：

The characteristics of high resolution remote sensing imagery--complex scenes, diversity, various forms of one target, and so on--make automatic building detection difficult.. In recent years, the deformable part model （DPM） has become widely used in the field of pattern recognition, and ef- fective for target recognition in natural scenes. In this paper, we propose a new method of building de- tection using high resolution remote sensing imagery, based on DPM. This method considers a build- ing as a combination of deformable parts, obtains its template parameters by training, and traverses images with a sliding window to detect buildings. Experiments show the validity of the method.