CAJ | 학술논문

提出了一种新的基于特征熵的估算红外成像作用空间分辨率的方法，研究红外目标在各分辨等级(发现、识别、确认)所需的红外成像空间分辨率。首先，通过下采样获取各分辨率等级下的目标图像；其次，提取目标的特征(纹理、形状和全局统计特征)，并对目标的特征空间进行归一化，得到其特征直方图；然后通过计算其特征熵，度量目标的信息量；最后根据设定的阈值，给出红外目标在不同的识别等级下所需的最低成像分辨率结论，并以计算机仿真红外目标为例进行验证。实验结果表明：文中结论与识别结果较好吻合，能够为红外识别系统的优化设计和分析提供参考依据。
제출료일충신적기우특정적적고산홍외성상작용공간분변솔적방법，연구홍외목표재각분변등급(발현、식별、학인)소수적홍외성상공간분변솔。수선，통과하채양획취각분변솔등급하적목표도상；기차，제취목표적특정(문리、형상화전국통계특정)，병대목표적특정공간진행귀일화，득도기특정직방도；연후통과계산기특정적，도량목표적신식량；최후근거설정적역치，급출홍외목표재불동적식별등급하소수적최저성상분변솔결론，병이계산궤방진홍외목표위례진행험증。실험결과표명：문중결론여식별결과교호문합，능구위홍외식별계통적우화설계화분석제공삼고의거。
In order to research the desired imaging spatial resolution of IR targets under different discrimination levels, including detection, recognition, and identification, a new method based on feature entropy, which is used to estimate IR imaging operating spatial resolution, was proposed. Firstly, IR target images under different resolution grades were obtained by down sampling. Secondly, IR target features extracted, including texture, shape and global statistical features, were normalized to the corresponding feature spaces to obtain the feature histograms. Thirdly, feature entropies of IR targets were calculated in order to measure the information of targets. Finally, according to the set thresholds, the desired lowest imaging spatial resolutions of IR targets under different discrimination levels were obtained, and taking the computer simulated IR targets for example, the presented method was demonstrated. The experiment results show that the conclusions are in good agreement with identification results, which can provide reference for optimization design and analysis of the infrared recognition system.