Infrared and Laser Engineering, Volume. 49, Issue S2, 20200187(2020)
Scene identifiability analysis based on conditional evidential networks
[2] [2] Zhang J W, Niu Z D, Liu S L, et al. Building recognition based on big template in FLIR images[C]//SPIE, 2014, 9: 22-25.
[3] [3] Shafer G. A Mathematical Theory of Evidence[M]. Princeton, America: Princeton University Press, 1976.
[6] [6] Smets P. Belief fucntions: the disjunctive rule of combination and the generalized Bayesian theorem[J]. International Journal of Approximate Reasoning, 1993, 9: 1-35.
[7] [7] Xu H, Smets P. Reasoning in evidential networks with conditional belief functions[J]. International Journal of Approximate Reasoning, 1996, 14, 155-185.
[8] [8] Boutheina B Y, Khaled M. Inference in directed evidential networks based on the transferable belief model[J]. International Journal of Approximate Reasoning, 2008, 48, 399-418.
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Liu Songlin, Hu Jun, Zhang Li, Gong Danchao. Scene identifiability analysis based on conditional evidential networks[J]. Infrared and Laser Engineering, 2020, 49(S2): 20200187
Category: 图像处理
Received: May. 12, 2020
Accepted: Jun. 20, 2020
Published Online: Feb. 5, 2021
The Author Email: Jun Hu (hujun25@mail.sysu.edu.cn)