Title :
Microwave radiometer spatial resolution enhancement
Author :
Migliaccio, M. ; Gambardella, A.
Author_Institution :
Eng. Sch. "G. Latmiral," Univ. degli Studi di Napoli "Parthenope," Napoli, Italy
fDate :
5/1/2005 12:00:00 AM
Abstract :
Scanning radiometer data processing can allow enhancing the limited intrinsic spatial resolution. This is important for data fusion. Mathematically, the problem to be solved is an inverse ill-posed problem. In this paper we compare the classical Backus-Gilbert inversion method with the truncated singular value decomposition (TSVD) one. A one-dimensional intercomparison is accomplished using an hypothetical sensor configuration. Results show the superiority of TSVD inversion method.
Keywords :
inverse problems; microwave imaging; radiometry; remote sensing; singular value decomposition; Backus-Gilbert inversion method; Fredholm integral equation; data fusion; data processing; inverse problems; microwave radiometer; microwave radiometry; remote sensing; sensor configuration; spatial resolution enhancement; truncated singular value decomposition; Antenna measurements; Atmospheric measurements; Brightness temperature; Geophysical measurements; Integral equations; Inverse problems; Microwave radiometry; Singular value decomposition; Spatial resolution; Temperature measurement; Fredholm integral equation; inverse problems; microwave radiometry; remote sensing; singular value decomposition (SVD);
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2005.844099
