ℓp-ICP Coastline Inflection Method for Geolocation Error Estimation in FY-3 MWRI Data
Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan 430062, China
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
Author to whom correspondence should be addressed.
Received: 14 June 2019 / Revised: 4 August 2019 / Accepted: 7 August 2019 / Published: 12 August 2019
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Known as input in the Numerical Weather Prediction (NWP) models, Microwave Radiation Imager (MWRI) data have been widely distributed to the user community. With the development of remote sensing technology, improving the geolocation accuracy of MWRI data are required and the first step is to estimate the geolocation error accurately. However, the traditional method, such as the coastline inflection method (CIM), usually has the disadvantages of low accuracy and poor anti-noise ability. To overcome these limitations, this paper proposes a novel
iterative closest point coastline inflection method (
-ICP CIM). It assumes that the field of views (FOVs) across the coastline can degenerate into a step function and employs an
sparse regularization optimization model to solve the coastline point. After estimating the coastline points, the ICP algorithm is employed to estimate the corresponding relationship between the estimated coastline points and the real coastline. Finally, the geolocation error can be defined as the distance between the estimated coastline point and the corresponding point on the true coastline. Experimental results on simulated and real data sets show the effectiveness of our method over CIM. The accuracy of the geolocation error estimated by
-ICP CIM is up to
pixel, in more than
of cases. We also show that the distribution of brightness temperature near the coastline is more consistent with the real coastline and the average geolocation error is reduced by
after geolocation error correction.
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MDPI and ACS Style
Zhao, X.; Chen, N.; Li, W.; Peng, J.; Shen, L. ℓp-ICP Coastline Inflection Method for Geolocation Error Estimation in FY-3 MWRI Data. Remote Sens. 2019, 11, 1886.
Zhao X, Chen N, Li W, Peng J, Shen L. ℓp-ICP Coastline Inflection Method for Geolocation Error Estimation in FY-3 MWRI Data. Remote Sensing. 2019; 11(16):1886.
Zhao, Xinghui; Chen, Na; Li, Weifu; Peng, Jiangtao; Shen, Lijun. 2019. "ℓp-ICP Coastline Inflection Method for Geolocation Error Estimation in FY-3 MWRI Data." Remote Sens. 11, no. 16: 1886.
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