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Automatic Detection of Contours of Circular Geologic Structures on Active Remote Sensing Images Using the Gradient Vector Flow Active Contour

机译:利用梯度矢量流主动轮廓自动检测主动遥感影像上圆形地质构造轮廓

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We try in this work to solve the problem of automatic detection of contours of circular geologic structures of the Adrar Tikertine (feuille de Tin-felki) on radar remote sensing images. The utility of these structures is irrefutable, particularly in mineral prospecting and geological cartography. To reach this goal, we use an active contour model called Gradient Vector Flow (GVF). With the difference to traditional approaches, the Gradient Vector Flow (GVF) concept includes simultaneously two operations: detection and edge link of contour points. The last one was always considered as a very complicated task in traditional approaches and must be done separately from detection of contour points. In fact, the strong point of the GVF active contours is the definition of new external force able to attract the deformable contour to concave regions, generally not attained with traditional active contours called "snakes".
机译:我们尝试通过这项工作来解决在雷达遥感影像上自动检测Adrar Tikertine(feuille de Tin-felki)圆形地质结构轮廓的问题。这些结构的用途是无可辩驳的,尤其是在矿物勘探和地质制图方面。为了达到这个目标,我们使用了一个主动轮廓模型,称为梯度矢量流(GVF)。与传统方法不同的是,“梯度矢量流”(GVF)概念同时包含两个操作:轮廓点的检测和边缘链接。在传统方法中,最后一个始终被认为是一项非常复杂的任务,必须与检测轮廓点分开进行。实际上,GVF有效轮廓的要点是定义了新的外力,该外力能够将可变形轮廓吸引到凹入区域,通常用称为“蛇形”的传统活动轮廓无法实现。

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