Noise Suppression in ATMS Spatial Resolution Enhancement Using Adaptive Window Method

One of the limitations in using spaceborne, microwave radiometer data for atmospheric remote sensing is the coarse spatial resolution at low frequencies. Backus-Gilbert inversion algorithm is widely used for spatial resolution enhancement. However, the enhancement in resolution is achieved at the ex...

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Bibliographic Details
Published in:IEEE International Geoscience and Remote Sensing Symposium proceedings pp. 7693 - 7695
Main Authors: Zhou, Jun, Yang, Hu
Format: Conference Proceeding
Language:English
Published: IEEE 11.07.2021
Subjects:
Adaptation models
adaptive window
Advanced Technology Microwave Sounder (ATMS)
Backus-Gilbert inversion algorithm
Image reconstruction
Microwave radiometry
Microwave sensors
Noise reduction
noise suppression
Remote sensing
Spatial resolution
spatial resolution enhancement
ISSN:2153-7003
Online Access:Get full text
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Summary:One of the limitations in using spaceborne, microwave radiometer data for atmospheric remote sensing is the coarse spatial resolution at low frequencies. Backus-Gilbert inversion algorithm is widely used for spatial resolution enhancement. However, the enhancement in resolution is achieved at the expense of the increase in noise. To suppress the noise in the reconstructed data, a new adaptive window method is proposed. Compared to the fixed window method adopted in previous studies, the new method is capable of reducing the noise to 1/10 of the noise induced by the fixed window method while keeping the similar degree of spatial resolution enhancement.
ISSN:2153-7003
DOI:10.1109/IGARSS47720.2021.9553997