Signal and Image Processing Systems Performance Evaluation: 19-20 April 1990, Orlando, FloridaHatem N. Nasr, Firooz A. Sadjadi |
Contents
DATA COLLECTION AND CHARACTERIZATION | 67 |
MODELING AND SIMULATION | 133 |
NOVEL CONCEPTS | 183 |
Copyright | |
1 other sections not shown
Common terms and phrases
accept and reject aero-optic jitter analysis aperture applications approach ATR algorithms ATR performance ATR systems Auto-I automated automatic target recognition AUTOSPEC background binary blob C2NVEO calculated Center classified clutter components computed correlation DATA EASTING detection performance detector discrimination DISPLAY distribution edge environment mapping example false alarm false alarm rate Figure FLIR frame function grey level ground truth histograms Honeywell image measures image metrics image processing imagery Infrared input intensity jitter Kalman filter laser diodes laser rangefinders linear matched filter meters module noise object operators optical optimization output parameters peaks performance evaluation performance measures performance model pixels probability of detection processor radiance radiosity range ray tracing regions reject set sample scenario scene segmentation selected shown simulation spatial statistical synthetic target detection Target Recognizer techniques threshold TR WH TR values variable variance voxels WH AD TR