【摘要】：針對中高軌目標(biāo)暗弱為目標(biāo)識別和識別效率增加的難度,研究了基于被動光學(xué)系統(tǒng)的地基光電光測系統(tǒng);同時提出了一種通過對原始圖像進行最優(yōu)化處理,從而有效提高目標(biāo)信噪比,增加目標(biāo)識別效率的方法。首先分析了在軌目標(biāo)的光學(xué)反射特性,比較了不同模式下目標(biāo)的信噪比,給出光電監(jiān)視系統(tǒng)的最優(yōu)設(shè)計方案。然后,結(jié)合目標(biāo)運動特性和觀測條件等因素,設(shè)計了適合中高軌道目標(biāo)的地基地球同步軌道(GEO)目標(biāo)的觀測模式。最后,針對暗弱目標(biāo)圖像識別難題,提出了基于最優(yōu)化原理的低信噪比目標(biāo)識別圖像處理的新方法。根據(jù)實測數(shù)據(jù)對本文方法進行了實驗驗證,并與傳統(tǒng)差幀法進行了比較。結(jié)果顯示,本文方法可在目標(biāo)信噪比大于3.09點條件下識別出目標(biāo)。該項研究對中高軌道目標(biāo)光電監(jiān)視用設(shè)備的設(shè)計和使用很有參考價值。
[Abstract]:Aiming at the difficulty of target recognition and recognition efficiency of medium and high orbit target, a ground-based optoelectronic optical measurement system based on passive optical system is studied, and a method to effectively improve the signal-to-noise ratio (SNR) and increase the target recognition efficiency by optimizing the original image is proposed. Firstly, the optical reflection characteristics of the in-orbit target are analyzed, the signal-to-noise ratio (SNR) of the target in different modes is compared, and the optimal design scheme of the photoelectric monitoring system is given. Then, combined with the motion characteristics and observation conditions of the target, the observation model of the ground-based geosynchronous orbit (GEO) target suitable for the medium and high orbit target is designed. Finally, a new method of low signal-to-noise ratio (SNR) target recognition image processing based on optimization principle is proposed to solve the problem of dim target image recognition. According to the measured data, the experimental verification of this method is carried out and compared with the traditional difference frame method. The results show that the proposed method can identify the target when the signal-to-noise ratio (SNR) of the target is greater than 3.09 points. This study is of great reference value for the design and use of optoelectronic monitoring equipment for medium and high track targets.
【作者單位】： 中國科學(xué)院長春光學(xué)精密機械與物理研究所;中國科學(xué)院大學(xué);
【基金】：國家863高技術(shù)研究發(fā)展計劃資助項目(No.2011AAXX2035)
【分類號】：TP391.41;V556

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