摘要
红外舰船目标检测是舰船目标识别与跟踪的重要基础。针对典型复杂海天场景下的红外舰船目标检测,本文提出了一种基于多尺度局部边缘梯度统计特性的目标检测算法。算法改进了传统的基于ROI的红外舰船目标检测方法,利用多尺度局部边缘梯度的统计特性,自适应的检测出完整的舰船目标。实验结果表明,该算法能够有效准确地检测出多种复杂海天场景下的红外舰船目标,且算法简单易于实现。
Infrared warship target detection is an important foundation of the warship target recognition and tracking. For infrared ship target in typical complex sea-sky environment, this paper proposes a target detection method based on mtflti-scale edge gradient. Algorithm improved the traditional infrared ship target detection method-which based on ROI（Region of Interest） and using statistical properties of multi-scale edge gradient adaptive detected complete ship targets. Experimental results indicate that the algorithm not only can effectively arid exactly detect the infrared warship targets in different complex sea- sky background, but also shows simple and easy to implement.
出处
《数字技术与应用》
2013年第10期66-68,70,共4页
Digital Technology & Application
关键词
舰船目标检测
红外图像
多尺度特征
边缘梯度
warship target detection
infrared image
multi-scale characteristic
edge gradient
作者简介
邢莎（1984年-）女，汉族，硕士，主要研究方向：目标识别与跟踪
吉林：男，硕士，副研究员，主要研究方向：目标识别与跟踪
雍杨,女，博士后，主要研究方向：目标识别与跟踪。
