Hierarchical Bayesian Model Based on Robust Fixed Rank Filter for Fusing MODIS SST and AMSR-E SST-Reference-Cited by-同舟云学术

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Hierarchical Bayesian Model Based on Robust Fixed Rank Filter for Fusing MODIS SST and AMSR-E SST

Published:2019-02-01 Issue:2 Volume:85 Page:119-131
ISSN:0099-1112
Container-title:Photogrammetric Engineering & Remote Sensing
language:en
Short-container-title:photogramm eng remote sensing

Author:

Zhu Yuxin,Kang Emily Lei,Bo Yanchen,Zhang Jinzong,Wang Yuexiang,Tang Qingxin

Publisher

American Society for Photogrammetry and Remote Sensing

Subject

Computers in Earth Sciences

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning framework for the real-time reconstruction of regional 4D ocean temperature fields from historical reanalysis data and real-time satellite and buoy surface measurements;Physica D: Nonlinear Phenomena;2024-03

2. SOSSF: Landsat-8 Image Synthesis on the Blending of Sentinel-1 and MODIS Data;IEEE Transactions on Geoscience and Remote Sensing;2024

3. A review of remote sensing image spatiotemporal fusion: Challenges, applications and recent trends;Remote Sensing Applications: Society and Environment;2023-11

4. An Innovative Method for the Spatial Sampling Analysis of Sea Surface Temperature in the Pacific-Indian Oceans;Journal of Coastal Research;2021-04-29

5. A Multifidelity Framework and Uncertainty Quantification for Sea Surface Temperature in the Massachusetts and Cape Cod Bays;Earth and Space Science;2020-02

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