Stereoscopic Height Estimation from Multiple Aspect Synthetic Aperture Radar Images
Author(s) -
J.M. DeLaurentis,
Armin Doerry
Publication year - 2001
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Reports
DOI - 10.2172/786639
Subject(s) - stereoscopy , synthetic aperture radar , computer vision , artificial intelligence , computer science , inverse synthetic aperture radar , dimension (graph theory) , position (finance) , radar , remote sensing , radar imaging , side looking airborne radar , projection (relational algebra) , geology , bistatic radar , mathematics , algorithm , telecommunications , finance , pure mathematics , economics
A Synthetic Aperture Radar (SAR) image is a two-dimensional projection of the radar reflectivity from a 3-dimensional object or scene. Stereoscopic SAR employs two SAR images from distinct flight paths that can be processed together to extract information of the third collapsed dimension (typically height) with some degree of accuracy. However, more than two SAR images of the same scene can similarly be processed to further improve height accuracy, and hence 3-dimensional position accuracy. This report shows how
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