红外与激光工程
紅外與激光工程
홍외여격광공정
Infrared and Laser Engineering
2015年
10期
3124-3129
,共6页
时-空过采样%红外点目标探测%扫描成像
時-空過採樣%紅外點目標探測%掃描成像
시-공과채양%홍외점목표탐측%소묘성상
Temporal-Spatial Oversampling%infrared point target detection%scanning imaging
为了验证时-空过采样系统对点目标探测的优越性, 设计了红外点目标成像仿真及实验系统,研究并验证了时-空过采样获得的点目标图像形状、能量分布特点. 首先,对比分析了时-空过采样系统与常规采样系统对点目标扫描成像原理;然后,对时-空过采样系统成像过程建立模型,通过仿真研究该系统对点目标的成像特点;最后,设计红外点目标成像实验并对实验数据进行分析. 仿真及实验结果证明了时-空过采样克服了单采样对点目标成像能量分散的问题,图像信噪比至少提高2倍以上,且验证了经时-空过采样后,点目标像素之间具有特定的相关规律. 利用时-空过采样的点目标成像特点,可为点目标的快速检出提供有利条件.
為瞭驗證時-空過採樣繫統對點目標探測的優越性, 設計瞭紅外點目標成像倣真及實驗繫統,研究併驗證瞭時-空過採樣穫得的點目標圖像形狀、能量分佈特點. 首先,對比分析瞭時-空過採樣繫統與常規採樣繫統對點目標掃描成像原理;然後,對時-空過採樣繫統成像過程建立模型,通過倣真研究該繫統對點目標的成像特點;最後,設計紅外點目標成像實驗併對實驗數據進行分析. 倣真及實驗結果證明瞭時-空過採樣剋服瞭單採樣對點目標成像能量分散的問題,圖像信譟比至少提高2倍以上,且驗證瞭經時-空過採樣後,點目標像素之間具有特定的相關規律. 利用時-空過採樣的點目標成像特點,可為點目標的快速檢齣提供有利條件.
위료험증시-공과채양계통대점목표탐측적우월성, 설계료홍외점목표성상방진급실험계통,연구병험증료시-공과채양획득적점목표도상형상、능량분포특점. 수선,대비분석료시-공과채양계통여상규채양계통대점목표소묘성상원리;연후,대시-공과채양계통성상과정건립모형,통과방진연구해계통대점목표적성상특점;최후,설계홍외점목표성상실험병대실험수거진행분석. 방진급실험결과증명료시-공과채양극복료단채양대점목표성상능량분산적문제,도상신조비지소제고2배이상,차험증료경시-공과채양후,점목표상소지간구유특정적상관규률. 이용시-공과채양적점목표성상특점,가위점목표적쾌속검출제공유리조건.
Temporal-spatial Oversampling (TSO) system has unique advantage for infrared point target detection. Infrared point target imaging simulations and experiments were designed. The shapes and energy distribution of point target in infrared image which were taken by TSO and ordinary sampling systems were researched. The point target imaging features were verified by the simulations and experiment results. First, principle of TSO system for point target imaging was compared with principle of ordinary sampling system, the main difference of the two sampling system was the arrangement of infrared detector's pixels. The arrangement of pixels in TSO system used half-sensor-alignment to improve the efficiency of point target energy collection. Then, imaging models of TSO and ordinary sampling system were built for simulations of point target imaging by two systems. The two systems characteristics were researched by simulations. And also the statistical characteristics of maximum pixels were analyzed. Simulation results show TSO system can get more stable point target imaging. Finally, infrared point target imaging experiments of two system were designed. The experiment results show that the temporal-spatial oversampling system can overcome the bad influence by phase noise. And the target images also have special characteristics in temporal-spatial oversampling system. These characteristics can make the infrared point target detection more effectively.
