1 March 1994 Detecting objects in three-dimensional laser radar range images
Author Affiliations +
Optical Engineering, 33(3), (1994). doi:10.1117/12.160880
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.
Thomas J. Green, Jeffrey H. Shapiro, "Detecting objects in three-dimensional laser radar range images," Optical Engineering 33(3), (1 March 1994). http://dx.doi.org/10.1117/12.160880
JOURNAL ARTICLE
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KEYWORDS
LIDAR

Sensors

Radar

Target detection

Automatic target recognition

Image processing

3D image processing

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