FIDW algorithm for temperature and salinity image interpolation in sub-surface ocean

Computer Engineering and Applications ›› 2012, Vol. 48 ›› Issue (26): 201-205.

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FIDW algorithm for temperature and salinity image interpolation in sub-surface ocean

ZHANG Shengmao1，2, FAN Wei1

1.Key Lab of Fisheries Resources Remote Sensing and Information Technology, East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China
2.Key Lab of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200062, China

Online:2012-09-11 Published:2012-09-21

海洋次表层FIDW温盐影像插值算法

张胜茂1，2，樊伟1

1.中国水产科学研究院东海水产研究所渔业资源遥感信息技术重点开放实验室，上海 200090
2.华东师范大学地理信息科学教育部重点实验室，上海 200062

Abstract

Abstract: Maximizing the efficiency of image temperature and salinity image interpolation in subsurface ocean is the key to solve the dynamic information services in fishing conditions. IDW can observe the marine section of two-dimensional interpolation points, but the common IDW algorithm is less efficient. FIDW interpolation method is used to improve efficiency. It achieves fast image interpolation in the case of using the same formula. The interpolation image is verified by measured data. The result shows that error range can meet the needs of analysis and applications in fisheries.

Key words: inverse distance weighting, interpolation, subsurface ocean, image, algorithm

摘要： 最大限度地提高海洋次表层温盐影像插值速度，是解决渔况信息动态服务效率的关键。IDW可以实现海洋剖面观测点的二维插值，但通用的IDW算法效率较低，采用FIDW方法提高插值效率，在使用相同计算公式的情况下实现影像快速插值，插值结果经过实测数据验证表明误差的范围可以满足渔业分析应用的需要。

关键词: 反距离权重, 插值, 海洋次表层, 影像, 算法

ZHANG Shengmao1，2, FAN Wei1. FIDW algorithm for temperature and salinity image interpolation in sub-surface ocean[J]. Computer Engineering and Applications, 2012, 48(26): 201-205.

张胜茂1，2，樊伟1. 海洋次表层FIDW温盐影像插值算法[J]. 计算机工程与应用, 2012, 48(26): 201-205.

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FIDW algorithm for temperature and salinity image interpolation in sub-surface ocean

海洋次表层FIDW温盐影像插值算法

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