TVPCF: A Spatial and Temporal Filter for Small Target Detection in IR Images

被引：0
|
作者：
Gao, Jinyan [1 ]
Lin, Zaiping [1 ]
Guo, Yulan [1 ,2 ]
An, Wei [1 ]
机构：
[1] Natl Univ Def Technol, Coll Elect Sci & Engn, Changsha, Hunan, Peoples R China
[2] Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
来源：
2017 INTERNATIONAL CONFERENCE ON DIGITAL IMAGE COMPUTING - TECHNIQUES AND APPLICATIONS (DICTA) | 2017年
基金：
中国国家自然科学基金;
关键词：
infrared image; moving target detection; cloud edge removal; clutter removal; POINT TARGET; DETECTION ALGORITHM; SEQUENCES;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Small infrared target detection in complex backgrounds is a challenging task. Due to dynamic background clutter and low signal-to-clutter ratio, most conventional methods fail to produce satisfactory results. In this paper, an effective spatial and temporal filter is proposed. The spatial filter is used to remove cloud edge, and the temporal filter is used to remove point-like background clutter. Experimental results demonstrate that the proposed method can effectively detect dim small targets with a very low false alarm rate and an acceptable detection rate.
引用
收藏
页码：361 / 367
页数：7
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