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kalman滤波器法
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     The former two are statistical algorithms that adaptively perform NUC using the scene data, and the last one is a method to extract information of the true scene by utilizing motion between frames in a sequence.
     恒定范围统计法和 Kalman滤波器法是利用场景数据自适应的进行非均匀性校正的统计算法 ; 轨迹跟踪法是一种利用图像序列的帧间运动提取真实场景的信息的方法。
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  相似匹配句对
     Optimal Distributed Kalman Filter Using Successive Orthogonalization Procedure
     采用逐次正交化的最优分布式Kalman滤波器
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     The anti-jamming algorithm of Kalman filter
     Kalman滤波器的抗干扰算
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     Kalman Filter based on Matrix Accumulative Algorithm and its Application to Dynamic GPS Positioning
     矩阵外积Kalman滤波器在动态GPS定位中的应用
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     Fade APPROACH METHOD OF FILTER DESIGN
     滤波器设计的Pade逼近
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     Running Status Recognize Of Kalman Filter In Real Time
     Kalman滤波器工作状态的实时辨识
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The non uniformity in the infrared focal plane array has limited the quality of infrared imaging system. Scene based non uniformity correction (NUC) techniques correct the non uniformity by using an image sequence and relying on motion between frames. In this paper, we introduce the approach of constant range correction, Kalman filtering correction and trace along trajectory correction. The former two are statistical algorithms that adaptively perform NUC using the scene data, and the last one is a method...

The non uniformity in the infrared focal plane array has limited the quality of infrared imaging system. Scene based non uniformity correction (NUC) techniques correct the non uniformity by using an image sequence and relying on motion between frames. In this paper, we introduce the approach of constant range correction, Kalman filtering correction and trace along trajectory correction. The former two are statistical algorithms that adaptively perform NUC using the scene data, and the last one is a method to extract information of the true scene by utilizing motion between frames in a sequence. Finally we compare these algorithms with two temperature calibration.

红外焦平面阵列的非均匀性噪声是制约红外成像质量的主要因素。基于场景的非均匀校正算法通常利用图像序列并依赖帧间运动对焦平面阵列的非均匀性进行校正。本文介绍了恒定范围统计法、Kalman滤波器法和轨迹跟踪法。恒定范围统计法和 Kalman滤波器法是利用场景数据自适应的进行非均匀性校正的统计算法 ;轨迹跟踪法是一种利用图像序列的帧间运动提取真实场景的信息的方法。最后把这三种方法和两点法做了比较

 
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