Data-Driven Mapping With Prediction Neural Network for the Future Wide-Swath Satellite Altimetry
Two-dimensional mapping of sea surface height (SSH) for future wide-swath satellite altimetry (WSA) is a challenge at present. So far, considering the utilization of data-driven methods is a new researching direction for SSH mapping. In general, the data-driven mapping methods rely on the spatial-te...
Main Authors: | Jiankai Di, Chunyong Ma, Ge Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2021-09-01
|
Series: | Frontiers in Marine Science |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fmars.2021.670683/full |
Similar Items
-
Overlapping-calibration of wide-swath altimeter baseline errors using two satellites formation flying design
by: Chunyong Ma, et al.
Published: (2022-11-01) -
Sparse Approximation of the Precision Matrices for the Wide-Swath Altimeters
by: Max Yaremchuk
Published: (2022-06-01) -
Wide Swath Stereo Mapping from Gaofen-1 Wide-Field-View (WFV) Images Using Calibration
by: Shoubin Chen, et al.
Published: (2018-03-01) -
Facilitating Inversion of the Error Covariance Models for the Wide-Swath Altimeters
by: Max Yaremchuk, et al.
Published: (2020-06-01) -
The Effect of Spatially Correlated Errors on Sea Surface Height Retrieval from SWOT Altimetry
by: Max Yaremchuk, et al.
Published: (2023-08-01)