A Regression and Neural Network-Based Methodology to Improve Vertical Resolution of Matched Indian Ground Radar Reflectivity Observations

In this work, a direct comparison between Indian ground radar (GR) and precipitation radar (PR) onboard the Tropical Rainfall Measuring Mission (TRMM) is first performed. Further, the matched GR observations are converted to a resolution (5 km X 0.25 km) same as that of space radar (SR) observations...

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Bibliographic Details
Published inIGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium pp. 7245 - 7248
Main Authors Sharma, Alok, Kannan, S. R.
Format Conference Proceeding
LanguageEnglish
Published IEEE 17.07.2022
Subjects
alignment methodology
Artificial neural networks
Correlation coefficient
ground radar
Image resolution
Microwave theory and techniques
radar
Radar measurements
Reflectivity
space radar
Spaceborne radar
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Summary:In this work, a direct comparison between Indian ground radar (GR) and precipitation radar (PR) onboard the Tropical Rainfall Measuring Mission (TRMM) is first performed. Further, the matched GR observations are converted to a resolution (5 km X 0.25 km) same as that of space radar (SR) observations using regression methodology. Furthermore, GR observations are corrected against SR observations using an artificial neural network (ANN).
ISSN:2153-7003
DOI:10.1109/IGARSS46834.2022.9883312