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Optical Engineering

Detecting objects in three-dimensional laser radar range images
Author(s): Thomas J. Green; Jeffrey H. Shapiro
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Paper Abstract

Statistical detection theory is used to develop the structure and performance of quasioptimal detection processors for 3-D coherent laser radar range imagery. Generalized likelihood-ratio tests (GLRTs) and receiver operating characteristics (ROCs) are presented for a detection scenario involving a variety of unknown object and background parameters. A computationally efficient, hard-limiter matched-filter processor is shown to yield performance closely approximating that of the GLRT.

Paper Details

Date Published: 1 March 1994
PDF: 10 pages
Opt. Eng. 33(3) doi: 10.1117/12.160880
Published in: Optical Engineering Volume 33, Issue 3
Show Author Affiliations
Thomas J. Green, Massachusetts Institute of Technology (United States)
Jeffrey H. Shapiro, Massachusetts Institute of Technology (United States)

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