Super-resolution image reconstruction methods applied to GFE-referenced navigation system

Lei Yan; Yi Lin; Qingxi Tong

doi:10.1117/12.750940

14 November 2007 Super-resolution image reconstruction methods applied to GFE-referenced navigation system

Lei Yan, Yi Lin, Qingxi Tong

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67902N (2007) https://doi.org/10.1117/12.750940
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

The problem about reference grid data's overlarge spacing, which makes deviated estimation of un-surveyed points and poor accuracy of correlation positioning, has been embarrassing Geophysical Fields of the Earth (GFE) referenced navigation research. The super-resolution images reconstruction methods in remote sensing field give some inspiration, and its brief method, Maximum A-Posterior (MAP) based on Bayesian theory, is transplanted on grid data. The proposed algorithm named MAP-G can implement interpolation of reference data field by reflecting whole distribution trend. Comparison with traditional interpolation algorithms and simulation experiments on underwater terrain/gravity-aided navigation platform, indicate that MAP-G algorithm can effectively improve navigation's performance.

Citation Download Citation

Lei Yan, Yi Lin, and Qingxi Tong "Super-resolution image reconstruction methods applied to GFE-referenced navigation system", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67902N (14 November 2007); https://doi.org/10.1117/12.750940

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