Target Detection Algorithm Based on Two Layers Human Visual System

Algorithms

Zheng Cui²  Jingli Yang¹  Shouda Jiang²  Changan Wei² 

[1] School of Electrical Engineering and Automation, Harbin Institute of Technology, No.2 Yi-Kuang Street Nan Gang District, Harbin 150001, China;

关键词: small target detection;    human visual system;    phase spectrum Fourier transform;    support vector machine;   

DOI  :  10.3390/a8030541

来源: mdpi

【 摘 要 】

Robust small target detection of low signal-to-noise ratio (SNR) is very important in infrared search and track applications for self-defense or attacks. Due to the complex background, current algorithms have some unsolved issues with false alarm rate. In order to reduce the false alarm rate, an infrared small target detection algorithm based on saliency detection and support vector machine was proposed. Firstly, we detect salient regions that may contain targets with phase spectrum Fourier transform (PFT) approach. Then, target recognition was performed in the salient regions. Experimental results show the proposed algorithm has ideal robustness and efficiency for real infrared small target detection applications.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.