首页> 外文会议>第21届国际摄影测量与遥感大会(ISPRS 2008)论文集 >THE CONSTRUCTION OF ANTI-SYMMETRICAL WAVELET AND BUILDING EXTRACTION FROM REMOTE SENSING IMAGERY
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THE CONSTRUCTION OF ANTI-SYMMETRICAL WAVELET AND BUILDING EXTRACTION FROM REMOTE SENSING IMAGERY

机译:反对称小波的构建与遥感影像的建筑物提取

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The principal technical problem of 3D building semi-automatic acquisition from remote-sensing images was discussed by using wavelet analysis, combining digital photogrammetry and computer vision. A set of anti-symmetrical wavelet (ASWlet) functions and corresponding filters were deduced, e.g., multi-scales, symmetry, approximation compact support, good local regularity and smoothness. And it is a powerful tool to realize optimal edge detection. On the basis of the edge detection result, the improved chain code expression of image edge was used to describe the line feature. By using the linear template based on edge feature extraction and the binary image morphology we recognize the corners automatically. And then the anti-symmetric lifting wavelet algorithm to proceed the feature matching for getting the corresponding image points was proposed. Finally, via stereo intersection, we got the outline of 3D building from the stereo images.
机译:通过小波分析,结合数字摄影测量技术和计算机视觉技术,讨论了遥感影像中3D建筑物半自动采集的主要技术问题。推导了一组反对称小波(ASWlet)函数和相应的滤波器,例如多尺度,对称,近似紧凑支持,良好的局部规则性和平滑度。它是实现最佳边缘检测的有力工具。在边缘检测结果的基础上,使用改进的图像边缘链码表达式来描述线条特征。通过使用基于边缘特征提取和二进制图像形态的线性模板,我们可以自动识别拐角。然后提出了反对称提升小波算法,进行特征匹配,得到对应的图像点。最后,通过立体交叉点,我们从立体图像中获得了3D建筑的轮廓。

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