Spatial interpolation approach based on IDW with anisotropic spatial structures

Jia Li; Ping Duan; Yehua Sheng; Haiyang Lv

doi:10.1117/12.2209321

9 December 2015 Spatial interpolation approach based on IDW with anisotropic spatial structures

Jia Li, Ping Duan, Yehua Sheng, Haiyang Lv

Proceedings Volume 9808, International Conference on Intelligent Earth Observing and Applications 2015; 98081O (2015) https://doi.org/10.1117/12.2209321
Event: International Conference on Intelligent Earth Observing and Applications, 2015, Guilin, China

Abstract

In many interpolation methods, with its simple interpolation principle, Inverse distance weighted (IDW) interpolation is one of the most common interpolation method. There are anisotropic spatial structures with actual geographical spatial phenomenon. When the IDW interpolation is used, anisotropic spatial structures should be considered. Geostatistical theory has a characteristics of exploring anisotropic spatial structures. In this paper, spatial interpolation approach based on IDW with anisotropic spatial structures is proposed. The DEM data is tested in this paper to prove reliability of the IDW interpolation considering anisotropic spatial structures. Experimental results show that IDW interpolation considering anisotropic spatial structures can improve interpolation precision when sampling data has anisotropic spatial structures feature.

Citation Download Citation

Jia Li, Ping Duan, Yehua Sheng, and Haiyang Lv "Spatial interpolation approach based on IDW with anisotropic spatial structures", Proc. SPIE 9808, International Conference on Intelligent Earth Observing and Applications 2015, 98081O (9 December 2015); https://doi.org/10.1117/12.2209321

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