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http://hdl.handle.net/10397/105369
Title: | An atmospheric phase correction method based on normal vector clustering partition in complicated conditions for GB-SAR | Authors: | Ou, P Lai, T Huang, S Chen, W Weng, D |
Issue Date: | Apr-2023 | Source: | Remote sensing, Apr. 2023, v. 15, no. 7, 1744 | Abstract: | Atmospheric phase is the main factor affecting the accuracy of ground-based synthetic aperture radar. The atmospheric phase screen (APS) may be very complicated, due to the drastic changes in atmospheric conditions, and the conventional correction methods based on regression models cannot fit and correct it effectively. Partition correction is a feasible path to improve atmospheric phase correction (APC) accuracy for complicated APS, but the overfitting problem cannot be ignored. In this article, we propose a clustering partition method, based on the normal vector of APS, which can partition the complicated APS more reasonably, and then perform APC based on the partition results. APC, and simulation experiments on measurement data, suggests that the proposed method achieves higher accuracy than the conventional model-based methods for complicated APS and avoids severe overfitting, realizing the balance between accuracy and credibility. This article verifies the feasibility and effectiveness of using APS distribution information to guide the partition and conduct APC. | Keywords: | Atmospheric phase (AP) Clustering partition Complicated atmospheric condition Ground-based synthetic aperture radar (GB-SAR) K-means Permanent scatterer (PS) Regression model |
Publisher: | Molecular Diversity Preservation International (MDPI) | Journal: | Remote sensing | EISSN: | 2072-4292 | DOI: | 10.3390/rs15071744 | Rights: | © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). The following publication Ou P, Lai T, Huang S, Chen W, Weng D. An Atmospheric Phase Correction Method Based on Normal Vector Clustering Partition in Complicated Conditions for GB-SAR. Remote Sensing. 2023; 15(7):1744 is available at https://doi.org/10.3390/rs15071744. |
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