光学遥感卫星在轨参数与图像质量参数关系研究

发布时间：2018-08-16 12:53

【摘要】：遥感图像质量的好坏是评价一个遥感系统的设计是否合理或者在轨运行正常与否的最主要的标准。高分辨率光学遥感器不仅在研制时需要根据任务目标通过对成像质量的预估评价,从而对遥感器的设计参数进行优化设计；而且遥感器在轨运行期间,还需要通过不同技术手段连续不断地监测在轨运行状态并调整相关参数,以达到成像质量最佳的目的。近年来,随着图像客观质量评价方法应用的日益广泛,通过对遥感器在轨成像质量的分析,从而调整在轨参数也成为一种可行的在轨检测的技术手段。本文主要研究工作和成果包括以下几个方面： (1)探讨了遥感卫星工程常用的仿真手段,并且详细分析了两个针对光学遥感卫星的计算机仿真模型。并根据上述数学模型开发了相应的仿真系统,模拟仿真了对于光学遥感卫星的成像质量影响较为显著的五个在轨参数：焦距、积分级数、俯仰角速度、偏航角速度和滚转角速度。 (2)探讨了对遥感图像质量进行定量评价的11个评价参数,并对各个参数的物理意义进行了说明。开发了相应的图像质量的批处理评价软件,对仿真图像质量进行了评价,构建了实验数据库。 (3)根据数学建模的理论方法,对于实验数据进行了正态分布检验以及数据对的相关性进行了定量分析,筛选出与每一个遥感器在轨参数相关性较强的图像质量评价参数。 (4)通过对筛选出的数据进行的回归分析建立了单一图像质量评价参数与遥感器在轨参数之间的关系模型,并对每一个关系模型进行了定量检验分析。然后使用主成分分析的方法提取了筛选出的图像质量评价参数的主成分,构成了相应的综合质量评价指标,并且建立了遥感图像综合质量评价指标与遥感器在轨参数之间的关系模型,并对模型的结果进行了分析检验。结果表明,论文建立的模型很好的反映了实验数据的变化规律,可以用于反演光学遥感器的在轨成像参数,从而为遥感器的在轨参数优化和在轨监测提供另一种方法途径。
[Abstract]:The quality of remote sensing image is the most important criterion to evaluate whether the design of a remote sensing system is reasonable or not. When developing high-resolution optical remote sensor, it is necessary not only to estimate and evaluate the imaging quality according to the mission objectives, but also to optimize the design parameters of the remote sensor during its orbit operation. In order to achieve the best imaging quality, it is necessary to continuously monitor the on-orbit operation state and adjust the relevant parameters through different technical means. In recent years, with the increasing application of objective image quality evaluation method, through the analysis of the imaging quality of remote sensor in orbit, adjusting the on-orbit parameters has become a feasible technical means of in-orbit detection. The main research work and achievements are as follows: (1) the common simulation methods of remote sensing satellite engineering are discussed, and two computer simulation models for optical remote sensing satellite are analyzed in detail. According to the above mathematical model, a corresponding simulation system is developed. Five parameters in orbit which have a significant effect on the imaging quality of optical remote sensing satellite are simulated, such as focal length, integral series, pitch angle velocity, etc. Yaw angular velocity and roll angular velocity. (2) 11 evaluation parameters for quantitative evaluation of remote sensing image quality are discussed, and the physical significance of each parameter is explained. The batch evaluation software of image quality is developed, the simulation image quality is evaluated, and the experimental database is constructed. (3) according to the theory and method of mathematical modeling, The normal distribution test of experimental data and the correlation of data pair are analyzed quantitatively. The image quality evaluation parameters with strong correlation with the on-orbit parameters of each remote sensor are selected. (4) the single image quality evaluation parameters and the in-orbit parameters of the remote sensor are established by regression analysis of the selected data. The relationship between numbers, The quantitative analysis of each relational model is carried out. Then the principal components of the selected image quality evaluation parameters are extracted by principal component analysis (PCA), which constitute the corresponding comprehensive quality evaluation index. The relationship model between the comprehensive quality evaluation index of remote sensing image and the on-orbit parameters of remote sensor is established, and the results of the model are analyzed and verified. The results show that the model can well reflect the variation of the experimental data and can be used to retrieve the imaging parameters of the optical remote sensor in orbit, thus providing another way for the optimization of the on-orbit parameters and the in-orbit monitoring of the remote sensor.
【学位授予单位】：南京理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP751

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