| 结合气象模型的遥感影像大气模糊去除 |
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| 引用本文： | 姜超,耿则勋,陈庆.结合气象模型的遥感影像大气模糊去除[J].测绘与空间地理信息,2015(9). |
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| 作者姓名： | 姜超 耿则勋 陈庆 |
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| 作者单位： | 1. 信息工程大学,河南郑州,450001;2. 61206部队,辽宁大连,116000 |
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| 基金项目： | 国家自然科学基金支持项目(11373043) |
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| 摘 要： | 利用传感器成像时刻对应的观测区域气象参数,结合大气光学湍流参数化模型和气溶胶MTF估计模型,分别计算湍流MTF和气溶胶MTF,再由二者的乘积得到大气MTF,进而采用一种改进的维纳滤波算法实现遥感影像的大气模糊去除。实验结果证明,恢复后影像的客观评价指标以及主观视觉效果均有明显改善,验证了本文算法的有效性和可行性。
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| 关 键 词： | 大气湍流 气溶胶 调制传递函数 大气模糊 维纳滤波 |
Removed Atmospheric Degradation of Remote-Sensing Images Combined with Me teorologic Model |
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| Abstract: | This paper use the meteorological parameters of observing area at imaging time, combined with atmospheric turbulence model and aerosol MTF model to calculate turbulence MTF and aerosol MTF respectively, after that, the product of these two MTFs is used as the total atmospheric MTF which is incorporated with a reformative Wiener filter to remove atmospheric degradation of remote-sensing image.Experimental results show that, the objective evaluation index and subjective visual effects of restored image are ob-viously improved, verify the effectiveness and the feasibility of the proposed algorithm. |
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| Keywords: | atmospheric turbulence aerosol MTF atmospheric degradation Wiener Filter |
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