Title
Using Artificial Neural Network Ensembles With Crogging Resampling Technique to Retrieve Sea Surface Temperature From HY-2A Scanning Microwave Radiometer Data.
Abstract
The brightness temperature data acquired during 2012-2015 from the scanning microwave radiometer (SMR), onboard the first Chinese ocean dynamic environment satellite- Haiyang-2A, were matched up with the WindSat Polarimetric Radiometer (WindSat) 0.25° × 0.25° gridded daily sea surface temperature (SST) data. Then, the artificial neural network (ANN) ensemble (ANNE) method implementing the Crogging...
Year
DOI
Venue
2019
10.1109/TGRS.2018.2863948
IEEE Transactions on Geoscience and Remote Sensing
Keywords
Field
DocType
Microwave radiometry,Microwave measurement,Microwave imaging,Sea measurements,Data models,Ocean temperature,Training
Brightness temperature,WINDSAT,Sea surface temperature,Remote sensing,Root mean square,Microwave imaging,Artificial neural network,Mathematics,Microwave radiometer,Radiometer
Journal
Volume
Issue
ISSN
57
2
0196-2892
Citations 
PageRank 
References 
0
0.34
0
Authors
8
Name
Order
Citations
PageRank
Gang Zheng110919.51
Jingsong Yang201.35
Xiaofeng Li333679.94
Lizhang Zhou400.68
Lin Ren501.69
Peng Chen603.04
Huaguo Zhang701.01
Xiulin Lou801.69