Volume 45 Issue 9
Oct.  2016
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Xia Wenze, Han Shaokun, Cao Jingya, Wang Liang, Zhai Qian. Ladar range estimation technology[J]. Infrared and Laser Engineering, 2016, 45(9): 906005-0906005(6). doi: 10.3788/IRLA201645.0906005
Citation: Xia Wenze, Han Shaokun, Cao Jingya, Wang Liang, Zhai Qian. Ladar range estimation technology[J]. Infrared and Laser Engineering, 2016, 45(9): 906005-0906005(6). doi: 10.3788/IRLA201645.0906005

Ladar range estimation technology

doi: 10.3788/IRLA201645.0906005
  • Received Date: 2016-01-18
  • Rev Recd Date: 2016-02-15
  • Publish Date: 2016-09-25
  • Range estimation technology, which plays a decisive role on the properties of the laser radar system, is always the core technology of laser radar technology. A range estimation technology based on Artificial Neural Network which contains two layers of network was proposed. The contrast experiment with the Cross-correlation range estimation technology demonstrates this technology can provide more accurate range estimation result. A simulation experiment on intensity image was conducted, and experiment result show this technology can provide more accurate intensity data than the peak judgment technology. The correlation between the neuron amount of hidden layer and range estimation accuracy was also analyzed, and the result shows too many or too few neurons will decrease the range estimation accuracy.
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Ladar range estimation technology

doi: 10.3788/IRLA201645.0906005
  • 1. School of Optoelectronics,Beijing Institute of Technology,Beijing 100081,China

Abstract: Range estimation technology, which plays a decisive role on the properties of the laser radar system, is always the core technology of laser radar technology. A range estimation technology based on Artificial Neural Network which contains two layers of network was proposed. The contrast experiment with the Cross-correlation range estimation technology demonstrates this technology can provide more accurate range estimation result. A simulation experiment on intensity image was conducted, and experiment result show this technology can provide more accurate intensity data than the peak judgment technology. The correlation between the neuron amount of hidden layer and range estimation accuracy was also analyzed, and the result shows too many or too few neurons will decrease the range estimation accuracy.

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