Title :
Efficient calculation in the map domain of SAR layover and shadow masks
Author :
Pairman, David ; McNeill, Stephen
Author_Institution :
Landcare Res.-Manaaki Whenua, Lincoln, New Zealand
Abstract :
Layover and shadow are two phenomena common in synthetic aperture radar imagery of steep terrain areas. While little can be done to mitigate backscatter estimates in layover or shadow areas, a mask is often required to exclude them from any backscatter based analysis. This paper presents an algorithm for detecting both shadow and layover areas directly in the map domain rather than converting to the slant range image domain (and back) to effect the calculation. Furthermore the algorithm presented uses a straightforward search through the map image and thus avoids the complex and inherently inefficient buffering required to search along lines of constant azimuth. As the method can be considerably simplified by assuming a constant bearing to the satellite and constant local incident angle to the local geoid, an analysis of the errors produced by making these assumptions is given. Results show that the differences are insignificant for many applications of satellite data. For aircraft SAR imagery, it is not practical to assume a constant incidence angle. However, interpolation of incidence angle has been found to give adequate results for aircraft SAR
Keywords :
airborne radar; geophysical signal processing; geophysical techniques; radar imaging; remote sensing by radar; spaceborne radar; synthetic aperture radar; SAR imagery; SAR layover; airborne radar; algorithm; efficient calculation; geophysical measurement technique; interpolation; land surface; map domain; radar imaging; radar remote sensing; shadow mask; spaceborne radar; steep terrain; synthetic aperture radar; terrain mapping; Aircraft; Azimuth; Backscatter; Geometry; Image converters; Instruments; Optical scattering; Radar imaging; Satellites; Synthetic aperture radar;
Conference_Titel :
Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
Print_ISBN :
0-7803-3836-7
DOI :
10.1109/IGARSS.1997.609220