自动化多传感器配准:要求和技术

E. Rignot, R. Kwok, J. Curlander, S. Pang
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引用次数: 84

摘要

融合多个不同遥感器数据的第一步是对每个遥感器的系统几何畸变特征进行校正,然后进行精确配准以去除任何残留的随机偏移。本文描述了我们的多传感器自动配准方法。综述了影响图像动力学的空间、时间和光谱变化因素的影响。使用这些因素制定了运算算法的需求规范。此外,还定义了一个高效、自动化系统的结构。使用由Landsat TM、SEASAT和SPOT传感器组装的多传感器测试数据集,在该结构中评估了许多候选图像处理技术。给出了实验结果并进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automated Multisensor Registration: Requirements And Techniques
A necessary first step in the fusion of data from a number of different remote sensors is the correction of the systematic geometric distortion characteristic of each sensor followed by a precision registration to remove any residual random offsets. This paper describes our approach to automated multisensor registration. The effects of spatially, temporally and spectrally varying factors which influence image dynamics are reviewed. A specification of the requirements for an operational algorithm is formulated using these factors. Additionally, the structure of an efficient, automated system is defined. A number of candidate image processing techniques are evaluated within this structure using a multisensor test data set assembled from the Landsat TM, SEASAT and SPOT sensors. The results are presented and discussed.
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