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Spatial Resolution and Data Integrity Enhancement of Microwave Radiometer Measurements Using Total Variation Deconvolution and Bilateral Fusion Technique
| Content Provider | MDPI |
|---|---|
| Author | Hu, Weidong Yao, Zhiyu Chen, Shi Xu, Zhihao Liu, Yang Feng, Zhiyan Ligthart, Leo |
| Copyright Year | 2022 |
| Description | 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. |
| Starting Page | 3502 |
| e-ISSN | 20724292 |
| DOI | 10.3390/rs14143502 |
| Journal | Remote Sensing |
| Issue Number | 14 |
| Volume Number | 14 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-07-21 |
| Access Restriction | Open |
| Subject Keyword | Remote Sensing Fengyun-3d (fy-3d) Microwave Radiation Imager Spatial Resolution Enhancement Data Integrity Enhancement Data Fusion |
| Content Type | Text |
| Resource Type | Article |
