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摘要： 准确获取建筑的三维分布信息对于城市规划与管理、灾害风险评估与防范以及灾后救助等都具有非常重要的意义。针对目前建筑物信息提取研究集中于二维平面信息提取,三维信息提取研究较少,且方法自动化程度较低,实用性和和推广性不足,提出了综合立体像对和高空间分辨率两种遥感数据进行建筑物三维信息提取的方法。首先,基于小波变换融合方法对GeoEye\|1高空间分辨率全色和多光谱影像进行融合,然后运用面向对象方法对融合后的高空间分辨率遥感影像进行建筑物基底轮廓提取,再利用IRS\|P5立体像对反演地物高度,最后通过数据整合获得研究区建筑物的三维空间分布。研究结果表明:该方法可以充分利用不同遥感数据的优势,获得较高的提取精度;研究所需数据容易获取,方法具有较好的可操作性和推广性。 关键词： 高空间分辨率;  立体像对;  建筑物;  三维信息提取;  面向对象     Abstract: Acquisition of accurate 3-Dimension buildings information in urban environment is of great importance to urban planning and management,disaster risk assessment and prevention.This paper presents a 3D building reconstruction method based on IRS-P5 stereo images and GeoEye-1 high resolution images.Firstly,we performed image fusion to the GeoEye-1 multi-spectral bands and panoramic band to get a high spatial resolution multi-spectral image.Then the image was classified using the object-based classification method.Outlines of buildings were extracted from the classification and modified result.The IRS-P5 stereo images were used to extract Digital Surface Model (DSM).Elevations of above-surface features were calculated by subtracting the registered Digital Elevation Model (DEM) from the DSM.Finally,the 3D buildings were reconstructed by combining buildings’ outlines their elevations.Results of our case study in the Tairi community,Fengxian District,Shanghai prove that our method can produce accurate 3D building information.The method also has great potential of application,furthermore IRS-P5 and GeoEye-1 images are easily available. 

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