A noise-robust method for infrared small target detection

被引：9

作者：

Shahraki, Hadi ^{[1
]}

Moradi, Saed ^{[2
]}

Aalaei, Shokoufeh ^{[3
]}

机构：

[1] Univ Sistan & Baluchestan, Fac Ind & Min, Dept Comp Engn, Khash, Iran

[2] Univ Isfahan, Fac Engn, Dept Elect Engn, Esfahan, Iran

[3] Mashhad Univ Med Sci, Sch Med, Dept Med Informat, Mashhad, Iran

来源：

SIGNAL IMAGE AND VIDEO PROCESSING | 2023年 / 17卷 / 05期

关键词：

Artificial intelligence; Infrared search and tracking; Infrared image; Noise robustness; Small target detection; LOCAL CONTRAST METHOD; MODEL;

D O I：

10.1007/s11760-022-02466-y

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：

In this paper, a noise-robust method is proposed for infrared small target detection. In the proposed method, according to the differences between the real targets and the noise, a suitable filter is provided to enhance the target. The proposed method is named Branch Local Contrast Measure (BLCM). This small target detection method is designed to ignore noisy pixels in IR images. In the experiment, 431 IR images with small dim targets containing various sources of false response have been used to evaluate the effectiveness of the proposed method. The results demonstrate that the BLCM method outperforms the other state of the arts for small target detection in the noisy image.

引用

页码：2489 / 2497

页数：9

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