A new small and dim targets detection and recognition algorithm based on infrared dual bands imaging system

Abstract

Abstract：In this paper, infrared radiation characteristics in different bands of flight targets, background and decoys are analyzed. According to the analytical results, a new small and dim targets detection and recognition algorithm based on infrared dual bands is present. Infrared dual bands imaging system includes infrared mid-wavelength imaging system and infrared long-wavelength imaging system. Images from these two imaging system are registered in time and space firstly. After background suppression, then the small and dim targets are detected from MW infrared images and LW infrared images respectively. At last, by using spatial correlation and spectral correlation of targets, interferes and decoys are eliminated from target candidates. The genuine targets are separated and recognized. The algorithm is applied to simulation dual bands images and real infrared dual band images. The experimental results show that the algorithm present in this paper is effective. Keywords: infrared small and dim targets, infrared dual-band image, target separation and recognition 1． IntroductionInfrared Search and Track(IRST) system has advantages of high resolution, invisibility, fine anti-jamming ability, small size, lightweight and high maneuverability. So IRST system is an important part of modern information confrontation system, and obtains more attention in recent years. In order to meet the increasing demand of confrontation system, IRST system is required to detect long distance targets to ensure enough pre-alarm time. But at this moment the targets are small and dim in infrared images. For complex environment, there exist many noises from environment and decoys etc. Hence it is difficult to separate targets from complex background because of its small size, low gray, usually occupying only several pixels, no shape and texture information and so on. Therefore, how small and dim targets can be reliably detected in complex background has become a hot research issue and has important theoretical and practical value. Infrared imaging system of single band is susceptible to be interfered by clutter and decoys which result in performance degradation. However, multi-spectral imaging system can make full use of radiation characteristics of different wavelengths of targets, clutter and decoys to extract genuine targets.According to different radiation characteristics of missile plume and interference, Bretier etc[1] use the ratio of dual color in middle infrared band to identify targets. And Yu etc[2] apply maximum likelihood ratio approach to automatic targets recognition. But the performance highly depends on SNR. Hoff etc[4] use 2D LMS adaptive scheme to distinguish between targets and clutter. According to infrared Downloaded From: http://proceedings.spiedigitallibrary.org/ on 06/27/2016 Terms of Use: http://spiedigitallibrary.org/ss/TermsOfUse.aspx IT{ II\Ii IT{Fl)multi-spectral characteristic information of targets, background and decoys, Wu etc[6] present an automatic target recognition algorithm by fusing target inform...

An Omnidirectional Morphological Method for Aerial Point Target Detection Based on Infrared Dual-Band Model

“…Mehmood et al [27] presented the wavelet and Reed-Xiaoli (RX) algorithm for dual-band forward-looking infrared imagery, but it did not work for very small-sized targets. Wang et al [28] used simple spatial correlation and spectra correlation to perform dual-band dim target detection, but the number of false alarms was also uncontrollable. Zhou et al [29] applied joint sparse representation in dual-band dim target detection, which achieves better detection performance, yet is also time consuming.…”