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
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