NDLI: Calculating the orientation of a rectangular target in SAR imagery

Content Provider	IEEE Xplore Digital Library
Author	Halversen, S.D.
Copyright Year	1992
Description	Author affiliation: Lincoln Lab., MIT, Cambridge, MA, USA (Halversen, S.D.)
Abstract	Four algorithms that estimate the orientation of a target before classification are presented. Two of the algorithms are based on a widely used box-spinning method, and the other two are based on linear regression techniques. The algorithms are evaluated using synthetic aperture radar (SAR) imagery of a large civilian vehicle. These data consist of two sets: one in which the vehicle is deployed in an open field, the other in which the vehicle is deployed along a treeline. The data were collected using the MIT Lincoln Laboratory millimeter-wave SAR, a high-resolution (0.3 m*0.3 m), fully polarimetric SAR with a center frequency of 33.56 GHz. For the vehicle deployed in an open field, three of the four algorithms estimate the orientation with a similar degree of accuracy. The linear regression algorithm that is based on a reweighted least squares (RLS) technique is shown to provide the best performance when the vehicle is deployed along the treeline.<>
Starting Page	260
Ending Page	264
File Size	462411
Page Count	5
File Format	PDF
ISBN	078030652X
DOI	10.1109/NAECON.1992.220611
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1992-05-18
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pattern matching Vehicles Robustness Laboratories Synthetic aperture radar Millimeter wave technology Millimeter wave radar Frequency Least squares methods Resonance light scattering
Content Type	Text
Resource Type	Article

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