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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| Vydané v: | IEEE International Geoscience and Remote Sensing Symposium proceedings s. 7693 - 7695 |
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11.07.2021
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Zhou, Jun Yang, Hu |
| Author_xml | – sequence: 1 givenname: Jun surname: Zhou fullname: Zhou, Jun organization: University of Maryland,Earth System Science Interdisciplinary Center – sequence: 2 givenname: Hu surname: Yang fullname: Yang, Hu organization: University of Maryland,Earth System Science Interdisciplinary Center |
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| Snippet | One of the limitations in using spaceborne, microwave radiometer data for atmospheric remote sensing is the coarse spatial resolution at low frequencies.... |
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| StartPage | 7693 |
| SubjectTerms | 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 |
| Title | Noise Suppression in ATMS Spatial Resolution Enhancement Using Adaptive Window Method |
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