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Proceedings Paper

Spatial resolution enhancement and interpolation using Backus-Gilbert inversion: demonstration with TMI brightness temperature data
Author(s): Prantik Chakraborty; Arundhati Misra
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Paper Abstract

The Backus-Gilbert Inversion technique is a proven method of temperature inversion in microwave radiometry with a scope of trade-off between desired resolution and tolerable noise. In this study it is used to super-resolve brightness temperature data independent of the inversion process. The BGI-method is applied on scan-mode TMI (TRMM Microwave Imager) data. The 19.35GHz TMI channel provides brightness temperature data oversampled by a factor of two and geo-collocated with the 37GHz channel data. Consequently, the enhancement of features in the 19.35GHz image after BG-resolving is validated by the identification of such features in the 37GHz image. The potential of the BGImethod as a non-degrading interpolation technique is also tested.

Paper Details

Date Published: 8 December 2006
PDF: 11 pages
Proc. SPIE 6410, Microwave Remote Sensing of the Atmosphere and Environment V, 64100P (8 December 2006); doi: 10.1117/12.692882
Show Author Affiliations
Prantik Chakraborty, ISRO Space Applications Ctr. (India)
Arundhati Misra, ISRO Space Applications Ctr. (India)


Published in SPIE Proceedings Vol. 6410:
Microwave Remote Sensing of the Atmosphere and Environment V
Azita Valinia; Seiho Uratsuka; Tapan Misra, Editor(s)

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