摘要
复杂背景下红外小目标识别一直是红外图像处理的关键技术之一,针对复杂云背景下红外弱小目标的时域和空域特征,考虑到易于硬件实现和实时性要求,提出基于快速统计排序滤波和Robinson Guard滤波并行快速处理算法,对复杂背景进行高信噪比抑制。实验证明,该方法能够有效地提高红外弱小目标图像信噪比和复杂背景下的小目标的检测概率。
The recognition of infrared small targets in complex backgrounds is one of the key technologies for infrared image processing. In this paper, a rapid order-statistics filters and Robinson Guard filters based parallel and rapid processing algorithm is proposed according to the temporal and spatial fields of infrared small and weak targets under complicated cloud backgrounds and the requirements of hardware realization and real-time performance. It is a high SNR background suppression method. The experiment reveals that the algorithm can improve the SNR of infrared small and weak targets and enhance the probability in small target detection under complicated backgrounds.
出处
《中国测试》
CAS
北大核心
2016年第4期115-119,共5页
China Measurement & Test
