基于自适应邻域双边滤波的点目标检测预处理算法
doi: 10.3724/SP.J.1146.2007.00136
A Preprocessing Algorithm of Point Target Detection Based on Temporal-Spatial Bilateral Filter Using Adaptive Neighborhoods
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摘要: 该文通过分析点目标的成像原理，提出一种基于自适应邻域时空双边滤波的点目标检测预处理算法。算法针对每个像素建立自适应邻域，对不同类的邻域分别定义其定义域和值域势函数的乘积为滤波模板，并通过限制自适应邻域的大小加快了算法速度。与固定邻域的空域双边滤波算法和时空双边滤波算法相比，该文算法能够快速、有效去除噪声，同时增强点目标和背景的对比度。Abstract: By analyzing imaging theories of point target, a preprocessing algorithm of point target detection based on temporal-spatial bilateral filter using adaptive neighborhoods is presented. The algorithm establishes an adaptive neighborhood for the given pixel, and a size limitation is added to the adaptive neighborhood to accelerate the algorithm. Filter template is obtained by multiplying the potential function in the domain and the potential function in the range of different neighborhoods. Compared with spatial bilateral filtering algorithm and temporal-spatial bilateral filtering algorithm using fixed neighborhoods, this preprocessing algorithm removes noise and enhances the contrast between point target and background efficiently and rapidly.
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