Title :
Automatic target recognition in laser radar imagery
Author :
Snorrason, Magnus ; Ruda, Harald ; Caglayan, Alper
Author_Institution :
Charles River Anal., Cambridge, MA, USA
Abstract :
This paper presents an automatic target recognition (ATR) system for laser radar (LADAR) imagery, designed to classify objects at multiple levels of discrimination (target detection, classification, and recognition) from single LADAR images. Segmentation is performed in both the range and non-range LADAR channels and results combined to increase object detection rate or decrease false positive detection rate. Through use of the range data, object subimages are projected and rotated to canonical orientations, providing invariance to translation, scale and rotations in 3-D. Global features are extracted for rapid target detection and local receptive field features are computed for target recognition 100% detection and recognition rates are shown for a small set of real LADAR data
Keywords :
feature extraction; image classification; image segmentation; laser ranging; optical radar; radar detection; radar imaging; radar target recognition; LADAR channels; LADAR imagery; automatic target recognition; canonical orientations; false positive detection rate; feature extraction; global features; image segmentation; laser radar imagery; local receptive field features; object detection rate; object subimages; range data; recognition rates; rotation invariance; scale invariance; target classification; target detection; target recognition; translation invariance; Data mining; Feature extraction; Image recognition; Image segmentation; Laser radar; Object detection; Optical design; Radar detection; Radar imaging; Target recognition;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.480049
