Abstract
Passive multi-frequency microwave sensors are indispensable instruments for worldwide environmental monitoring. However, they often suffer from the issues of poor spatial resolution and the original land–sea transition zone data are contaminated severely. Conventional analytical deconvolution methods enhance the spatial resolution at the expense of noise amplification and Gibbs fluctuations in the land–sea transition zone. In order to enhance the spatial resolution as well as simultaneously enhance the integrity of the Microwave Radiometer data, a method based on Total Variation deconvolution, Bilateral Filter, and data fusion (TVBF+) is proposed. Our method substantially improves data integrity and obtains similar enhanced resolution compared to existing methods. Experiments performed using both simulated and actual microwave radiation Imager (MWRI) data demonstrate the method’s robustness and effectiveness.
Funder
National Natural Science Foundation of China
Subject
General Earth and Planetary Sciences
Cited by
3 articles.
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1. Multi-Stage Spatial Resolution Enhancement Framework of FY-3D MWRI;2023 International Conference on Microwave and Millimeter Wave Technology (ICMMT);2023-05-14
2. High resolution FMCW imaging system;2023 International Conference on Microwave and Millimeter Wave Technology (ICMMT);2023-05-14
3. Spatial Resolution Matching of Microwave Radiometer Measurements Using Iterative Deconvolution With Close Loop Priors (ICLP);IEEE Transactions on Geoscience and Remote Sensing;2023