Paper Info
Title
Deconvolution Algorithms In Image Reconstruction For Aperture Synthesis Radiometers
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).
Year
DOI
Venue
2007
10.1109/IGARSS.2007.4423083
IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET
Keywords
Field
DocType
Aperture synthesis, deconvolution, least squares, Soil Moisture and Ocean Salinity (SMOS) mission, Spatial Sensor Microwave Imager (SSM/I)
Computer science,Synthetic aperture radar,Remote sensing,Deconvolution,Artificial intelligence,Radiometer,Wiener filter,Iterative reconstruction,Aperture synthesis,Aperture,Computer vision,Algorithm,Image resolution
Conference
ISSN
Citations 
PageRank 
2153-6996
1
0.36
References 
Authors
1
6
Name
Order
Citations
PageRank
Maria Piles120028.38
Adriano Camps21050218.43
Mercè Vall-Llossera340963.35
Alessandra Monerris412217.62
Marco Talone511015.99
Jose Luis Alvarez-Perez622.07