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Article

Comparison of the Remapping Algorithms for the Advanced Technology Microwave Sounder (ATMS)

by and *
Earth System Science Interdisciplinary Center (ESSIC), University of Maryland, College Park, MD 20740, USA
*
Author to whom correspondence should be addressed.
Received: 10 January 2020 / Revised: 13 February 2020 / Accepted: 14 February 2020 / Published: 18 February 2020
(This article belongs to the Special Issue Computer Vision and Machine Learning Application on Earth Observation)
One of the limitations in using spaceborne, microwave radiometer data for atmospheric remote sensing is the nonuniform spatial resolution. Remapping algorithms can be applied to the data to ameliorate this limitation. In this paper, two remapping algorithms, the Backus–Gilbert inversion (BGI) technique and the filter algorithm (AFA), widely used in the operational data preprocessing of the Advanced Technology Microwave Sounder (ATMS), are investigated. The algorithms are compared using simulations and actual ATMS data. Results show that both algorithms can effectively enhance or degrade the resolution of the data. The BGI has a higher remapping accuracy than the AFA. It outperforms the AFA by producing less bias around coastlines and hurricane centers where the signal changes sharply. It shows no obvious bias around the scan ends where the AFA has a noticeable positive bias in the resolution-enhanced image. However, the BGI achieves the resolution enhancement at the expense of increasing the noise by 0.5 K. The use of the antenna pattern instead of the point spread function in the algorithm causes the persistent bias found in the AFA-remapped image, leading not only to an inaccurate antenna temperature expression but also to the neglect of the geometric deformation of the along-scan field-of-views. View Full-Text
Keywords: advanced technology microwave sounder (ATMS); remapping; Backus–Gilbert inversion algorithm; filter algorithm advanced technology microwave sounder (ATMS); remapping; Backus–Gilbert inversion algorithm; filter algorithm
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MDPI and ACS Style

Zhou, J.; Yang, H. Comparison of the Remapping Algorithms for the Advanced Technology Microwave Sounder (ATMS). Remote Sens. 2020, 12, 672. https://0-doi-org.brum.beds.ac.uk/10.3390/rs12040672

AMA Style

Zhou J, Yang H. Comparison of the Remapping Algorithms for the Advanced Technology Microwave Sounder (ATMS). Remote Sensing. 2020; 12(4):672. https://0-doi-org.brum.beds.ac.uk/10.3390/rs12040672

Chicago/Turabian Style

Zhou, Jun, and Hu Yang. 2020. "Comparison of the Remapping Algorithms for the Advanced Technology Microwave Sounder (ATMS)" Remote Sensing 12, no. 4: 672. https://0-doi-org.brum.beds.ac.uk/10.3390/rs12040672

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