Publication | Closed Access
Detecting objects in three-dimensional laser radar range images
22
Citations
0
References
1994
Year
EngineeringDetection ScenarioImage AnalysisPattern RecognitionRadar Signal ProcessingLaser-based SensorComputational GeometryMachine VisionAutomatic Target RecognitionSynthetic Aperture RadarRadar ApplicationRange ImagingSignal ProcessingStatistical Detection TheoryComputer VisionRadar ImagingRadarQuasioptimal Detection ProcessorsRadar Image Processing
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.