线性体核密度分析与岩浆岩体分解

Linear Kernel Density Analysis and Magmatic Rock Decomposition

针对目前缺少将线性体提取技术与核密度分析二者通过计算机自动识别结合在一起的方法,提出了一种基于线性构造的核密度分析的划分岩浆岩体的方法。方法采用了形态学重构的思想对遥感影像进行了预处理,运用Canny算子对影像进行边缘提取,运用Hough变换提取二值图像中线性体信息,同时对提取的线性体进行走向-长度分析和核密度分析,最终得到岩浆岩体分解图。该方法在新疆维吾尔自治区岩浆岩体分解上取得较好的成果,实现了在岩浆岩体分解上的计算机自动识别提取。

For lacking a method which is a combination of linear extraction technique and kernel density analysis together by computer automatic identification method currently, this paper proposes a method of decomposition on the magmatic rock based on kernel density analysis for the linear structure. It adopts the idea of the morphological reconstruction on the remote sensing image preprocessing, uses Canny operator to exact image edges, applies Hough transform to extract the linear information from a binary image, and performs strike-length analysis and kernel density analysis for the extracted lineament and gets the map of magmatic rock decomposition. This method shows better results in the Xinjiang Uygur autonomous region on magmatic rock decomposition, and realizes the computer automatic identification extraction on magmatic rock decomposition.