SAR图像非线性分布目标检测方法研究
Non-Linear Distribution Target Detection Method for SAR Images
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摘要: 在一定条件下,遥感图像上可以观测到舰船的尾迹或自然界的内波现象。目前对舰船尾迹的检测多集中在线性尾迹的检测上,该文提出一种基于生理视觉的静态边界轮廓系统和移动窗口形态滤波非线性分布目标检测方法,并且转换成二值图像后,运用二值形态滤波对线状要素进行分类,将非线性特征进行区分,以便进一步的处理。文中仿真和实际SAR图像试验的结果表明该算法是有效的。Abstract: In some condition the present most of the methods are wake of ship or the natural interwave can be observed in remote sensing imagery. In used to detect linear features. This paper puts forward a method, which uses static boundary contour system based on biological vision and image morphological filter based on mathematical morphology to process images. And after conversion into binary image, the non-linear features are classified using binary morphological filter. The effectiveness of this algorithm is demonstrated by the test results of simulating wake images and actual SAR images of ship wakes
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