NDLI: Target recognition from limited-angle backscatter data

Content Provider	IEEE Xplore Digital Library
Author	Marr, R.A. Pommet, D.A. Lammers, U.H.W. McGahan, R.V. Fiddy, M.A.
Copyright Year	1990
Abstract	The problem of determining the nature of a target from limited backscatter data has two difficult features. The first is the problem of inverting scattered-field data when multiple scattering arises. There are few procedures to do this, and even fewer computationally feasible algorithms. The second problem lies in the fact that these methods expect to have scattering data taken all around a target, for all possible illumination directions. We have developed a spectral-estimation technique that can make use of prior knowledge about the target, to improve resolution when only limited data are available. It transpires that this approach is particularly effective at identifying support bounds on an actual target. These support bounds provide a better indicator of what the target is than the image derived from the same scattering data, especially when the data are too few to generate a meaningful image. From this we conclude that with a certain number of data points, and a certain degree of detail in one's prior knowledge of a target set, one can determine whether the best course of action is to "shape" the target using a dynamic prior function, or to form an image, in order to make the identification. These latter observations were carried out using real data acquired from a model of a cruise missile. Being a metallic target, there was little multiple scattering, and the inverse-scattering aspect of the identification step was not demanding.
Starting Page	36
Ending Page	40
Page Count	5
File Size	594074
File Format	PDF
ISSN	10459243
Volume Number	41
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-02-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Target recognition Backscatter Radar scattering Electromagnetic scattering Image reconstruction Lighting Phase estimation Image resolution Wavelength measurement Polarization
Content Type	Text
Resource Type	Article
Subject	Condensed Matter Physics Electrical and Electronic Engineering

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