DocumentCode :
814256
Title :
The generation of SAR layover and shadow maps from digital elevation models
Author :
Kropatsch, Walter G. ; Strobl, Dieter
Author_Institution :
Inst. for Image Process. & Comput. Graphics, Forschungsgesellschaft Joanneum, Graz, Austria
Volume :
28
Issue :
1
fYear :
1990
fDate :
1/1/1990 12:00:00 AM
Firstpage :
98
Lastpage :
107
Abstract :
As almost fully automated techniques as well as expert systems obtain more and more importance in the geocoding of synthetic aperture radar (SAR) images, the solution to the problem of the identification of homologue points between the SAR image and reference system moves into the fields of pattern recognition and feature matching. Shadow regions, which appear as dark regions in the SAR image, are independent from the backscattering of the imaged terrain. Due to the multiplicity of signals, layover regions appear brighter than the surrounding regions. Hence, the phenomena of layover and shadow are stressed in the present paper. The reasons for their occurrence are studied through the digital elevation model representing the Earth´s surface. An algorithm to define layover and shadow regions directly in the geometry of the digital elevation model is presented. The results are given in a so-called layover and shadow map
Keywords :
cartography; computerised pattern recognition; computerised picture processing; geophysical techniques; geophysics computing; radar applications; radar measurement; remote sensing; topography (Earth); algorithm; almost fully automated techniques; cartography; digital elevation models; expert systems; feature matching; geocoding; geophysical techniques; homologue points; identification; layover regions; pattern recognition; reference system; remote sensing; shadow maps; synthetic aperture radar; topography; Backscatter; Digital elevation models; Expert systems; Geometrical optics; Optical sensors; Pattern matching; Pattern recognition; Radar polarimetry; Solid modeling; Synthetic aperture radar;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.45752
Filename :
45752
Link To Document :
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