NDLI: Deconvolution algorithms in image reconstruction for aperture synthesis radiometers

Content Provider	IEEE Xplore Digital Library
Author	Piles, M. Camps, A. Vall-llossera, M. Monerris, A. Talone, M. Perez, J.L.A.
Copyright Year	2007
Description	Author affiliation: Univ. Polytech. de Catalunya, Barcelona (Piles, M.; Camps, A.; Vall-llossera, M.; Monerris, A.; Talone, M.)
Abstract	In remote-sensing applications the inclusion of subgrid-scale variability in coarse resolution data still remains an elusive challenge. This paper is devoted to the development of an appropriate downscaling technique for future Aperture Synthesis Radiometer's images. A comparative study of different deconvolution algorithms has been performed and particular emphasis is made on the use of least-squares Lagrangian methods and Fourier Wiener filtering. Results show that with this technique it is feasible to improve the spatial resolution of brightness temperature images from the Spatial Sensor Microwave Imager (SSM/I) radiometer and from an upgraded version of the Soil Moisture and Ocean Salinity (SMOS) End-to-end Performance Simulator (SEPS).
Starting Page	1460
Ending Page	1463
File Size	520728
Page Count	4
File Format	PDF
ISBN	9781424412112
DOI	10.1109/IGARSS.2007.4423083
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-07-23
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Deconvolution Image reconstruction Apertures Radiometers Remote sensing Microwave radiometry Filtering algorithms Lagrangian functions Wiener filter Spatial resolution Spatial Sensor Microwave Imager (SSMII) Aperture synthesis deconvolution least squares Soil Moisture and Ocean Salinity (SMOS) mission
Content Type	Text
Resource Type	Article

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