DocumentCode
3263656
Title
New detection algorithm of extended targets for radar and electro optical sensors
Author
Gallego, Jaime Calvo ; Martinez, Félix Pérez ; Asensio-López, Alberto
Author_Institution
Dpto. Informatica, Univ. Carlos III Madrid, Spain
fYear
2005
fDate
11-14 Oct. 2005
Firstpage
300
Lastpage
303
Abstract
This paper presents a new technique able to detect extended targets (small ones and big ones) (Ostrovityanov and Basalov, 1985), under very low signal to noise ratios (SNR) and signal to clutter ratios (SCR) with a high probability of detection and a low probability of false alarm. The method is based on the calculation of some modified statistical descriptors (Gonzalez and Woods, 2002), and the peak plots (Rihaczek and Hershkowitz, 2000) from raw sensor image. The peak plots are extracted by means of the shift-and-convolution technique (Perez Martinez et al., 2001). Experimental results are also presented demonstrating the quality of this technique. Experimental results have been obtained with ARIES radar (Perez et al., 2002), a surface marine and coast surveillance LFM-CW high resolution radar (HRR) (Wehner, 1995) developed by INDRA SISTEMAS S.A. in collaboration with the Technical University of Madrid. The Spanish Ministry of Defence has founded this research.
Keywords
electro-optical devices; object detection; optical radar; optical sensors; radar tracking; ARIES radar; coast surveillance LFM-CW high resolution radar; detection algorithm; detection probability; electro optical sensor; modified statistical descriptor; sensor image; shift-and-convolution technique; signal-to-clutter ratio; signal-to-noise ratio; surface marine high resolution radar; Clutter; Detection algorithms; Electrooptic devices; Laser radar; Optical sensors; Probability; Radar detection; Radar imaging; Signal to noise ratio; Thyristors;
fLanguage
English
Publisher
ieee
Conference_Titel
Security Technology, 2005. CCST '05. 39th Annual 2005 International Carnahan Conference on
Print_ISBN
0-7803-9245-0
Type
conf
DOI
10.1109/CCST.2005.1594851
Filename
1594851
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