Accounting for Geometric Anisotropy in Sparse Magnetic Data Using a Modified Interpolation Algorithm

Accounting for Geometric Anisotropy in Sparse Magnetic Data Using a Modified Interpolation Algorithm

The construction of a high-precision geomagnetic map is a prerequisite for geomagnetic navigation and magnetic target-detection technology. The Kriging interpolation algorithm makes use of the variogram to perform linear unbiased and optimal estimation of unknown sample points. It has strong spatial...

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Bibliographic Details
Main Authors: Haibin Li, Qi Zhang, Mengchun Pan, Dixiang Chen, Zhongyan Liu, Liang Yan, Yujing Xu, Zengquan Ding, Ziqiang Yu, Xu Liu, Ke Wan, Weiji Dai
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Remote Sensing
Subjects:
geomagnetic map
Kriging interpolation algorithm
variogram
geometric anisotropy
Online Access:https://www.mdpi.com/2072-4292/16/5/883

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