Improving ATMS Remapping Accuracy Using Adaptive Window and Noise-Tuning Method in Backus-Gilbert Inversion

One of the data fusion issues for observations from multiple spaceborne microwave sensors is the nonuniform spatial resolution. Although the Backus-Gilbert inversion (BGI) algorithm has long been used for the Advanced Technology Microwave Sounder (ATMS) antenna pattern matching, previous studies sho...

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Vydáno v:	IEEE transactions on geoscience and remote sensing Ročník 60; s. 1 - 12
Hlavní autoři:	Zhou, Jun, Yang, Hu, Iacovazzi, Robbie
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Acceptable noise levels Advanced Technology Microwave Sounder (ATMS) Algorithms Antenna measurements Antennas Backus–Gilbert inversion data fusion Data integration Frequency dependence Methods Microwave antennas Microwave filters Microwave radiometry Microwave sensors Multisensor fusion Noise Noise levels Pattern matching Reconstruction remapping Resolution Spatial data Spatial discrimination Spatial resolution spatial resolution enhancement Temperature measurement Tuning
ISSN:	0196-2892, 1558-0644
On-line přístup:	Získat plný text
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