一种多尺度分形特征目标检测方法
A Method for Target Detection Using Multiscale Fractal
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摘要: 自然背景干扰下的自动目标检测是目标检测的一个基本问题.根据尺度变化时自然 场景中人造目标的分形特征变化剧烈这一特点,提出了一种分形参数极值特征的自动目标检 测方法.大量的实验结果表明,分形参数极值特征的自动目标检测方法能较好地完成自然背景 干扰中人造小目标的自动检测.Abstract: Automatic object detection from natural scene clutters is fundamental to object detection. When the scale is changed, the fractal features of man-made objects in a natural scene change much more violently. In terms of the characterization, this paper presents a new method for automatic target detection using fractal maximum. Experimental results show that the method based on fractal parameter maximum map (FPMM) performs very well for small man-made object detection from a natural scene clutter.
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Key words:
- Multiscale /
- fractal feature /
- target detection
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