DocumentCode
2977742
Title
Automatic target recognition in laser radar imagery
Author
Snorrason, Magnus ; Ruda, Harald ; Caglayan, Alper
Author_Institution
Charles River Anal., Cambridge, MA, USA
Volume
4
fYear
1995
fDate
9-12 May 1995
Firstpage
2471
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location
Detroit, MI
ISSN
1520-6149
Print_ISBN
0-7803-2431-5
Type
conf
DOI
10.1109/ICASSP.1995.480049
Filename
480049
Link To Document