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Coherent LADAR range image for target recognition using back-propagation neural network

  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Range, intensity and Doppler images can be obtained by using coherent LADAR (laser radar). Range image is closely relative to physical structure property of target surface, and it can reflect essential characteristics of targets. At present the research on automatic target recognition technology for LADAR is attention-getting. The Back-propagation neural network (BPNN) has been used in multi-layered feed-forward adaptive neural networks, deserving special attention. In this paper, BPNN is introduced to recognize Vehicles on the ground with different carrier to noise ratio (CNR) of clutters, different orientations of target, and different distances between the object and sensor. The results of simulation show that the BPNN is feasible and effective for the target recognition.

Original languageEnglish
Title of host publication2010 Academic Symposium on Optoelectronics and Microelectronics Technology and 10th Chinese-Russian Symposium on Laser Physics and Laser Technology, RCSLPLT/ASOT 2010
Pages224-227
Number of pages4
DOIs
StatePublished - 2010
Event2010 Academic Symposium on Optoelectronics and Microelectronics Technology and 10th Chinese-Russian Symposium on Laser Physics and Laser Technology, RCSLPLT/ASOT 2010 - Harbin, China
Duration: 28 Jul 20101 Aug 2010

Publication series

Name2010 Academic Symposium on Optoelectronics and Microelectronics Technology and 10th Chinese-Russian Symposium on Laser Physics and Laser Technology, RCSLPLT/ASOT 2010

Conference

Conference2010 Academic Symposium on Optoelectronics and Microelectronics Technology and 10th Chinese-Russian Symposium on Laser Physics and Laser Technology, RCSLPLT/ASOT 2010
Country/TerritoryChina
CityHarbin
Period28/07/101/08/10

Keywords

  • Automatic target recognition
  • BPNN
  • Cohernet LADAR

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