A minimum curvature algorithm for tomographic reconstruction of atmospheric chemicals based on optical remote sensing
Abstract % the computation time. It is also simpler to implement than the GT-MG algorithm because it directly uses high-resolution grids during the reconstruction process. Compared with the traditional NNLS algorithm, it shows better performance in the following three aspects: (1) the nearness of reconstructed maps is improved by more than 50 %, (2) the peak location accuracy is improved by 1–2 m, and (3) the exposure error is improved by 2 to 5 times. Testing results indicated the effectiveness of the new algorithm according to the variational approach. More specific algorithms could be similarly further formulated and evaluated. This study promotes the practical application of ORS-CT mapping of atmospheric chemicals.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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A minimum curvature algorithm for tomographic reconstruction of atmospheric chemicals based on optical remote sensing ; volume:14 ; number:11 ; year:2021 ; pages:7355-7368 ; extent:14
Atmospheric measurement techniques ; 14, Heft 11 (2021), 7355-7368 (gesamt 14)
- Creator
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Li, Sheng
Du, Ke
- DOI
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10.5194/amt-14-7355-2021
- URN
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urn:nbn:de:101:1-2021120204540717062855
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:26 AM CEST
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Associated
- Li, Sheng
- Du, Ke
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