Scatterometer Backscatter Imaging Using Backus-Gilbert Inversion

Wind scatterometer measurements are collected over an irregular grid, and processing is required to generate backscatter images on an Earth-centered grid. The most common algorithms used for this are "drop in the bucket" (DIB) and variations of the scatterometer image reconstruction (SIR)...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:IEEE transactions on geoscience and remote sensing Ročník 57; číslo 6; s. 3179 - 3190
Hlavní autor: Long, David G.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.06.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Antenna measurements
Backscatter
Backscattering
Backus–Gilbert (BG)
Brightness temperature
Earth
Image processing
Image reconstruction
Imaging
Imaging techniques
Microwave measurement
Microwave radiometry
Noise levels
Radar measurements
Radiometers
reconstruction
sampling
scatterometer
scatterometer image reconstruction (SIR)
Scatterometers
Spaceborne radar
Surface radiation temperature
variable aperture
Wind measurement
ISSN:0196-2892, 1558-0644
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:Wind scatterometer measurements are collected over an irregular grid, and processing is required to generate backscatter images on an Earth-centered grid. The most common algorithms used for this are "drop in the bucket" (DIB) and variations of the scatterometer image reconstruction (SIR) algorithm. These algorithms are also used for radiometer brightness temperature imaging. The Backus-Gilbert (BG) algorithm has been used for radiometer imaging but has not been applied to scatterometer backscatter imaging. In this paper, the application of BG to scatterometer backscatter imaging is explored and its performance is compared to DIB and SIR. Like SIR, optimally tuned BG is capable of producing higher resolution images than DIB, though its noise performance is slightly inferior to SIR's. While BG and SIR produce similar results for radiometer data, the higher relative noise level of scatterometer data increases the differences between the SIR and BG algorithm performance, and limits the performance of BG relative to SIR in scatterometer imaging. Comparison of the SIR and BG algorithms in scatterometer imaging offers important insights into the inversion/reconstruction problem.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0196-2892
1558-0644
DOI:10.1109/TGRS.2018.2882136