摘要
建立了红外小目标图像的场景模型,分析了小目标情况下图像预处理的特点,根据这些特点对预处理技术进行了分类描述。为了评价预处理结果,定义了两个评价参数———信噪比和背景抑制因子。实验结果表明,不同的预处理方法具有不同的应用范围,只有根据图像特点选择合适的预处理方法,才能取得理想的预处理效果。
The scene model of infrared small target image was established, and the characteristics of image pretreatment were analyzed under this condition. Based on the characteristics, the pretreatment technologies were classified. In order to evaluate results of pretreatment, two definitions of signal-to-noise ratio and background suppression factor were given. The experimental results indicate that different pretreatment methods can be applied to different images. In order to get good pretreatment effects, the appropriate pretreatment method should be selected according to the image characteristics.
出处
《红外与激光工程》
EI
CSCD
北大核心
2004年第2期154-158,共5页
Infrared and Laser Engineering
关键词
小目标
场景模型
信噪比
背景抑制因子
预处理
Small target
Scene model
Signal-to-noise ratio
Background suppression factor
Pretreatment
