基于粗糙集理论的红外小目标检测  

Small Infrared Target Detection Based On Rough Set

作　　者：焦海涛[1] 王艳[1] 

机构地区：[1]西安电子科技大学,西安710071

出　　处：《红外》2003年第8期17-19,共3页Infrared

摘　　要：红外图像处理中的点目标检测技术是近年来信息处理研究的热点和难点之一,而粗集是一种用于处理含糊和不确定性问题的新的数学工具。本文提出了基于粗集理论的红外小目标检测算法,该检测算法可按红外图像模型的频域属性、灰度值属性和相关性属性,把目标从背景中分离出来。实践结果表明,该算法能够对小目标进行可靠的检测。Detection of point targets in infrared image sequences is a difficult subject of information processing in recent years, and the Rough Set theory is a new mathematical tool to deal with vagueness and uncertainty. This paper presents a point target detection algorithm, which can combine the properties of target by Rough Set. The experimental results show that it can achieve high availability and reliability in point target detection.

关 键 词：粗糙集理论 红外图像处理 红外小目标 点目标检测 红外图像模型 

分 类 号：TN219[电子电信—物理电子学]