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遥感图像数据重采样的一种快速算法

A Method for Fast Resampling of Remote Sensing Imagery

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【作者】 楼琇林黄韦艮周长宝杨劲松

【Author】 LOU Xiu-lin, HUANG Wei-gen, ZHOU Chang-bao, YANG Jin-song (Lab. of Ocean Dynamic Processes and Satellite Oceanography, Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China)

【机构】 国家海洋局海洋动力过程与卫星海洋学重点实验室国家海洋局第二海洋研究所

【摘要】 从原始遥感图像几何畸变特征出发 ,建立了SeaStarSeaWiFS和NOAAAVHRR遥感图像数据重采样的一种快速算法 ,并提出了邻点权重重采样方式。该种快速算法能有效地提高遥感图像几何校正的速度 ,并适用于连续对地观测系统遥感数据的重采样过程。邻点权重重采样方式可用以替代通常的最近邻点和双线性插值重采样方式

【Abstract】 A method for fast resampling of remote sensing imagery has been developed based on the nature of the geometric distortion of raw imagery. The method was applied to resample SeaStar SeaWiFS and NOAA AVHRR images. Examples of the resampling of SeaStar SeaWiFS images are presented by using the results have shown that the resampling using the method suggested in this paper is much faster than other resampling methods. A weighted neighbour intensity interpolation has also been proposed. The quality of the resampled images is improved. The weighted neighbour intensity interpolation. Advantages of the weighted neighboun intensity interpolation over the nearest-neighbour and bilinear intensity interpolations have been discussed.

【基金】 国家“十五”科技攻关项目 2 0 0 1BA6 0 3B 0 6;国家“973”计划“我国近海有害赤潮的生态学、海洋学机制及预测防止”项目的资助
  • 【文献出处】 遥感学报 ,Journal of Remote Sensing , 编辑部邮箱 ,2002年02期
  • 【分类号】TP751.1
  • 【被引频次】29
  • 【下载频次】755
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