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摘要： 选用WorldView-2、高分二号、高分一号遥感数据，以厦门软件园为研究区，运用面向对象方法及形态学的思想，并结合光谱、阴影和形状约束，构建了适用于不同影像的建筑物及阴影提取流程；运用阴影长度估算法，估算了0.5、1、2 m这3种不同空间分辨率建筑物高度；并定量评估影像空间分辨率对建筑物提取精度、建筑物高度估算精度的影响。结果表明：①改进的建筑物及阴影提取流程对不同分辨率影像均取得了较高的提取精度，但建筑物提取精度随着遥感影像空间分辨率的降低而略有降低；②随着遥感影像空间分辨率的降低，建筑物高度估算精度逐渐降低，但不呈现出线性关系，分辨率从1 m上升至0.5 m阶段建筑物高度估算精度提高的速度要高于分辨率从2 m上升至1 m阶段；③GF-1比较适用于高层建筑物的高度估算，GF-2适用于中高层到高层建筑物的高度估算，而WorldView-2对不同高度范围内建筑物的高度均有较高的估算精度。〖FL(2K2〗〖HT4F〗 关键词： 建筑物提取;  建筑物高度;  空间分辨率;  形态学建筑物指数;  阴影;  估算精度     Abstract: In this study，the remote sensing images of WorldView-2，GF-2，and GF-1，which cover Xiamen Software Park，were selected for study.A building and shadow extraction process suitable for different images was constructed，which applied object\|oriented approach and morphology ideas combined with spectral，shadow and shape constraints.Subsequently，the building heights of three different spatial resolutions of 0.5 m，1 m and 2 m were estimated by using the shadow length estimation method.Finally，the influence of image spatial resolution on building extraction accuracy and building height estimation accuracy was evaluated quantitatively.The main conclusions are as follows：(1) The improved building and shadow extraction process achieves higher extraction accuracy，but accuracy decreases slightly with the decrease of spatial resolution of images；(2) With the decrease of spatial resolution，the accuracy of building height estimation decreases gradually，but it does not show linear relationship.At the resolution increases from 1m to 0.5 m，the accuracy of building height estimation increases faster than the resolution increases from 2 m to 1 m；(3) GF-1 is more suitable for height estimation of high\|rise buildings and GF-2 is suitable for middle and high rise buildings，while WorldView\|2 has higher estimation accuracy for building height in different height ranges.

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