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008170824s2015    onca    ob   f000 0 eng d
040 |aCaOODSP|beng
043 |an-cn---
0861 |aD69-49/2015E-PDF
1001 |aSabry, Ramin,|d1962-
24510|aTopography estimation using SAR image polarimetry |h[electronic resource] / |cRamin Sabry and Karim Mattar.
260 |a[Ottawa |bDefence R&D Canada, |c2015]
300 |a[5] p. (un-numbered pages) : |bill. (some col.)
500 |aCaption title.
500 |a"Space and ISR Applications, DRDC, Ottawa, Ontario, Canada."
504 |aIncludes bibliographical references.
520 |a“Terrain slope variations affect polarimetric synthetic aperture radar (SAR) exploitation by changing the perceived target scattering polarization state. Polarization orientation angle (POA) correction to compensate for terrain effects has been investigated. POA rotation can be derived from digital elevation model (DEM) and/or from polarimetric SAR (PolSAR) data through covariance/coherency analysis. A robust analytic model connecting PolSAR data and products (e.g., POA) to terrain characteristics canserve two major objectives. First is to correct/calibrate PolSAR data acquired from different SARs when DEM is available. Second is to model terrain through inverse solution of POAs derived from PolSAR data analysis. The latter can be further used to calibrate other PolSAR imagery. The above mentioned model or formalism has been developed and is presented here. Effectiveness of the technique in providing both forward (POAs from DEM) and inverse (DEM from POAs) solutions is explored by using imagery example and simulation"--Introd., p. [1].
69207|2gccst|aTopography
69207|2gccst|aMeasurement
69207|2gccst|aSatellite imagery
7001 |aMattar, Karim E.
7101 |aCanada. |bDefence R&D Canada. |bOttawa Research Centre.
85640|qPDF|s533 KB|uhttps://publications.gc.ca/collections/collection_2017/rddc-drdc/D69-49-2015-eng.pdf