Title | ||
---|---|---|
Using Artificial Neural Network Ensembles With Crogging Resampling Technique to Retrieve Sea Surface Temperature From HY-2A Scanning Microwave Radiometer Data. |
Abstract | ||
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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 Zheng | 1 | 109 | 19.51 |
Jingsong Yang | 2 | 0 | 1.35 |
Xiaofeng Li | 3 | 336 | 79.94 |
Lizhang Zhou | 4 | 0 | 0.68 |
Lin Ren | 5 | 0 | 1.69 |
Peng Chen | 6 | 0 | 3.04 |
Huaguo Zhang | 7 | 0 | 1.01 |
Xiulin Lou | 8 | 0 | 1.69 |