The Method of Multi-attribute Target Recognition Based On Laser Detection
Jian-biao Chen, Hua-yan Sun, Yong-hui Zheng
Available Online April 2015.
- https://doi.org/10.2991/amcce-15.2015.300How to use a DOI?
- Laser Detection Target Recognition High Range Resolution Profile Multi-attribute Extraction
- Ideal result of target recognition can’t be obtained just with single attribute. In order to improve the performance of target recognition and reflect the physical attributes of the target, some attributes are extracted from the high range resolution profile of the unknown target to form an multi-attribute vector, such as the frequency amplitude, the length of energy gathering, the centre moments and the bispectrum and so on. Because of the high dimensions of the vector, the PCA (Principal Component Analysis) method is used to decrease the dimension. The processed vector is regarded as the input of the BP (Back Propagation) neural network to obtain the result of target recognition. The simulation result indicates that it is helpful for improving the target recognition rate with the multi-attribute extraction method and PCA method.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Jian-biao Chen AU - Hua-yan Sun AU - Yong-hui Zheng PY - 2015/04 DA - 2015/04 TI - The Method of Multi-attribute Target Recognition Based On Laser Detection BT - 2015 International Conference on Automation, Mechanical Control and Computational Engineering PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/amcce-15.2015.300 DO - https://doi.org/10.2991/amcce-15.2015.300 ID - Chen2015/04 ER -