Application of super-resolution methods to synthetic aperture radar data

Author

Guglielmi, V. ; Castanié, F. ; Piau, P.

Author_Institution

ENSEEIHT, Toulouse, France

Volume

3

fYear

34881

fDate

10-14 Jul1995

Firstpage

2289

Abstract

To increase the spatial resolution of synthetic aperture radar (SAR) images, the authors process the received data through super-resolution methods instead of conventional pulse compression. Since the problem of SAR processing is “ill-posed”, “regularization” techniques must be applied by incorporating prior knowledge about the imaged scene

Keywords

geophysical signal processing; geophysical techniques; image enhancement; radar imaging; remote sensing by radar; synthetic aperture radar; SAR image; geophysical measurement technique; ill-posed problem; image processing; image resolution enhancement; land surface; prior knowledge incorporation; rada imaging; radar remote sensing; regularization; spatial resolution increase; super-resolution method; synthetic aperture radar; terrain mapping; Additive noise; Image restoration; Iterative algorithms; Layout; Matched filters; Pulse compression methods; Reflectivity; Singular value decomposition; Spatial resolution; Synthetic aperture radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International

Conference_Location

Firenze

Print_ISBN

0-7803-2567-2

Type

conf

DOI

10.1109/IGARSS.1995.524173

Filename

524173