【摘要】：在遙感成像系統(tǒng)的研制過程當中,對其性能合理的預估有利于有效地指導系統(tǒng)的設(shè)計工作。調(diào)制傳遞函數(shù)(MTF)、信噪比(SNR)是較為常用的遙感成像系統(tǒng)的性能預估模型,但它們都無法全面反映遙感成像系統(tǒng)的綜合性能。遙感成像系統(tǒng)的信息密度融合了MTF、SNR和邊帶混疊等多種像質(zhì)表征參數(shù),能夠體現(xiàn)遙感成像系統(tǒng)多方面的性能。文章通過研究信息密度與圖像主觀評價的關(guān)系對信息密度用于預估遙感成像系統(tǒng)綜合性能的合理性做了相關(guān)的研究。首先,設(shè)計不同的遙感成像系統(tǒng),使其具有不同的信息密度值,以信息密度來體現(xiàn)不同系統(tǒng)的性能優(yōu)劣;然后,利用不同系統(tǒng)對同一場景進行成像仿真,并對仿真輸出的圖像進行了主觀量化評分;最后,利用相關(guān)性分析的手段研究了不同信息密度及其對應的主觀評分,研究結(jié)果驗證了信息密度作為遙感成像系統(tǒng)的一種綜合性能預估模型的合理性。
[Abstract]:In the process of development of remote sensing imaging system, reasonable prediction of its performance is helpful to guide the design of the system effectively. Modulation transfer function (MTF),) signal-to-noise ratio (SNR) is a commonly used performance prediction model for remote sensing imaging systems, but none of them can fully reflect the comprehensive performance of remote sensing imaging systems. The information density of remote sensing imaging system is a combination of MTF,SNR, sideband aliasing and other image quality characterization parameters, which can reflect the performance of remote sensing imaging system in many aspects. By studying the relationship between information density and image subjective evaluation, the rationality of information density in predicting the comprehensive performance of remote sensing imaging system is studied in this paper. First of all, different remote sensing imaging systems are designed so that they have different information density values to reflect the performance of different systems. Finally, the different information density and its corresponding subjective score are studied by means of correlation analysis. The results verify the rationality of the information density as a comprehensive performance prediction model of remote sensing imaging system.
【作者單位】： 北京空間機電研究所;
【基金】：國家重大科技專項工程
【分類號】：TP751
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本文編號：2292789