Title :
Application of super-resolution methods to synthetic aperture radar data
Author :
Guglielmi, V. ; Castanié, F. ; Piau, P.
Author_Institution :
ENSEEIHT, Toulouse, France
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;
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
DOI :
10.1109/IGARSS.1995.524173
