@inproceedings{41bdc70e20394990b8920322247fee24,
title = "Satellite target recognition algorithm based on BP neural networks",
abstract = "For high resolution range profile (HRRP) is sensitive to pose and translation, Back-Propogation (BP) algorithm is proposed to be used to process even rank central moments of HRRP in target recognition. Wavelet denoising is used to enhance the signal noise rate (SNR) of HRRP. Then central moments are extracted from the denoised HRRP. Even rank central moments can be used as features for target recognition because they are more stable and the dimension is reduced. BP algorithm is used to process the central moments feature vector. The experimental results based on real satellites data show that the proposed method achieves good recognition performance based on its low storage and computational complexity.",
keywords = "BP neural networks, Central moments, High resolution range profiles",
author = "Xiankang Liu and Meiguo Gao and Xiongjun Fu",
year = "2007",
doi = "10.1109/ICIEA.2007.4318715",
language = "English",
isbn = "1424407370",
series = "ICIEA 2007: 2007 Second IEEE Conference on Industrial Electronics and Applications",
pages = "1775--1778",
booktitle = "ICIEA 2007",
note = "2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007 ; Conference date: 23-05-2007 Through 25-05-2007",
}