Correlation target recognition for laser radar

JianFeng Sun; Wei Lu; Qi Li; Qian Wang; Qi Wang

doi:10.1117/12.668311

20 January 2006 Correlation target recognition for laser radar

JianFeng Sun, Wei Lu, Qi Li, Qian Wang, Qi Wang

Proceedings Volume 6027, ICO20: Optical Information Processing; 602731 (2006) https://doi.org/10.1117/12.668311
Event: ICO20:Optical Devices and Instruments, 2005, Changchun, China

Abstract

The target recognition of laser radar is a hot research because laser radar can produce the intensity and range imagery. Laser radar has high space resolution, and can obtain rich target information. Correlation recognition has been used to many fields, such as infrared as well as synthetic aperture radar (SAR). In this paper, the two filters are used in experiment of laser radar. MACH filter is used to detect the target, and DCCFs are used to recognize the unknown target. The samples are generated by OpenGL technology, and the filters are designed using the simulated ladar images. The test samples are added noise according to the imaging principle of laser radar. Two sample sets, one adding noise, another filtering the noise, are used in order to contrast the different performance. At last, the experiment results are given.

Citation Download Citation

JianFeng Sun, Wei Lu, Qi Li, Qian Wang, and Qi Wang "Correlation target recognition for laser radar", Proc. SPIE 6027, ICO20: Optical Information Processing, 602731 (20 January 2006); https://doi.org/10.1117/12.668311

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available