Pattern recognition algorithm for laser radar

Christian Werner; Juergen Streicher; Ines Leike; Norbert Stockhausen

doi:10.1117/12.453996

23 January 2002 Pattern recognition algorithm for laser radar

Christian Werner, Juergen Streicher, Ines Leike, Norbert Stockhausen

Proceedings Volume 4546, Laser Radar: Ranging and Atmospheric Lidar Techniques III; (2002) https://doi.org/10.1117/12.453996
Event: International Symposium on Remote Sensing, 2001, Toulouse, France

Abstract

Using the inverse filtering of the outgoing laser pulse and of the return signal, one can increase the range accuracy of a laser radar for a single pulse. The method was tested experimentally and in the virtual world. A virtual lidar instrument was developed for further studies. The pulse length can vary from 10 ns up to 500 ns for hard targets ranges to remain within 50-cm accuracy. For a gain switched pulse like from a CO2 Doppler lidar with 3 ms pulse duration, the hard target return can be determined with 1-m resolution. For a hard target with an aspect angle to the laser radar, one can determine this angle with sufficient accuracy. The method will be described in detail.

Citation Download Citation

Christian Werner, Juergen Streicher, Ines Leike, and Norbert Stockhausen "Pattern recognition algorithm for laser radar", Proc. SPIE 4546, Laser Radar: Ranging and Atmospheric Lidar Techniques III, (23 January 2002); https://doi.org/10.1117/12.453996

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