Title :
Direct three-dimensional image reconstruction
fDate :
3/1/1979 12:00:00 AM
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;
Journal_Title :
Antennas and Propagation, IEEE Transactions on
DOI :
10.1109/TAP.1979.1142051