DocumentCode
1016799
Title
Direct three-dimensional image reconstruction
Author
Friedlander, B.
Volume
27
Issue
2
fYear
1979
fDate
3/1/1979 12:00:00 AM
Firstpage
239
Lastpage
241
Abstract
The problem of radar target-shape estimation for perfectly conducting complex objects is formulated as an image-reconstruction problem. A convolve-and-backproject algorithm is derived when the measurements are taken by radars located in three-dimensional space around the object region. The algorithm can be used directly in that there are no restrictions on the sensor placement; the sensors are not required to lie in a plane, for example, as is often assumed in many applications. Two possible convolving functions with desirable implementation characteristics are described. The algorithm is applicable to the general problem of reconstructing the density function of three-dimensional objects and applies to the radar shape-estimation problem as a special case.
Keywords
Image reconstruction; Radar imaging/mapping; Radar target recognition; Density functional theory; Fourier transforms; Geometry; Image reconstruction; Polarization; Q measurement; Radar imaging; Radar theory; Sensor phenomena and characterization; Shape;
fLanguage
English
Journal_Title
Antennas and Propagation, IEEE Transactions on
Publisher
ieee
ISSN
0018-926X
Type
jour
DOI
10.1109/TAP.1979.1142051
Filename
1142051
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