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GEOLOGICAL LINEAR BODY EXTRACTION METHOD BASED ON TENSOR VOTING COUPLED WITH HOUGH TRANSFORMATION

机译:基于张力投票的地质线性体萃取方法与霍夫变换相结合

摘要

The present disclosure provides geological linear body extraction method based on tensor voting coupled with Hough transformation, including pre-processing a remote sensing image to obtain a pre-processed remote sensing image; selecting three optimal wavebands from N multi-spectral wavebands of the pre-processed remote sensing image, so as to obtain a remote sensing image combined by the optimal wavebands, N being a natural number greater than or equal to 3; using Gaussian high-pass filtering to perform sharpening processing on the remote sensing image combined by the optimal wavebands, so as to enhance linearized edge information; performing edge detection on the remote sensing image having enhanced linearized edge information, so as to obtain all edge points in the remote sensing image; and converting all the edge points in the remote sensing image from an image coordinate system to a parameter coordinate system, and extracting a geological linear body from the parameter coordinate system.
机译:本公开提供了基于与霍夫变换耦合的张量投票的地质线性体提取方法,包括预处理遥感图像,以获得预处理的遥感图像;从预处理的遥感图像的N个多光谱波带中选择三个最佳波带,以便获得由最佳波带组合的遥感图像,n为大于或等于3的自然数;使用高斯高通滤波,对最佳波带组合的遥感图像进行锐化处理,以增强线性化边缘信息;在具有增强的线性化边缘信息的遥感图像上执行边缘检测,以便在遥感图像中获得所有边缘点;并将遥感图像中的所有边缘点从图像坐标系转换为参数坐标系,并从参数坐标系中提取地质线性主体。

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