Target Recognition Method of Laser Line Scanning Imaging Fuze Based on DHGF Algorithm

Fig. 6. Scanning polyline sequences of reference target 1 and recognized target 2 in cross-sectional direction. (a) Status a; (b) status b; (c) status c; (d) status d

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Fig. 7. Scanning polyline sequence of reference target 1 and recognized target 2 in longitudinal section direction. (a) Status a; (b) status b; (c) status c

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Fig. 8. Grey comprehensive relationship degree. (a) Cross-sectional direction; (b) longitudinal section direction

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Table 1. Target recognition evaluation system

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Table 1. Target recognition evaluation system

Target layer	Criterion layer	Index layer	Weight distribution
	Grade a, ρ_ij∈[0.95,1]	Containing q₁ data	W₁=q₁ $\begin{matrix} / \overset{5}{\sum_{i = 1}} q_{i} \end{matrix}$
	Grade b, ρ_ij∈[0.85,0.95]	Containing q₂ data	W₂=q₂ $\begin{matrix} / \overset{5}{\sum_{i = 1}} q_{i} \end{matrix}$
Evaluation method	Grade c, ρ_ij∈[075,0.85]	Containing q₃ data	W₃=q₃ $\begin{matrix} / \overset{5}{\sum_{i = 1}} q_{i} \end{matrix}$
	Grade d, ρ_ij∈[0.65,0.75]	Containing q₄ data	W₄=q₄ $\begin{matrix} / \overset{5}{\sum_{i = 1}} q_{i} \end{matrix}$
	Grade e, ρ_ij∈[0.55,0.65]	Containing q₅ data	W₅=q₅ $\begin{matrix} / \overset{5}{\sum_{i = 1}} q_{i} \end{matrix}$

Table 2. Weight distribution of all levels
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Table 2. Weight distribution of all levels
Criterionlayer Indexlayer First weightdistribution Secondary weightdistribution
Grade a 41 1 0.0244
Grade b 0 0 0
Grade c 0 0 0
Grade d 0 0 0
Grade e 0 0 0

Table 3. Weight distribution of all levels
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Table 3. Weight distribution of all levels
Criterionlayer Indexlayer First weightdistribution Secondaryweight distribution
Grade a 31 0.7561 0.0323
Grade b 10 0.2439 0.1
Grade c 0 0 0
Grade d 0 0 0
Grade e 0 0 0

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Zhen Zheng, Bingting Zha, He Zhang. Target Recognition Method of Laser Line Scanning Imaging Fuze Based on DHGF Algorithm[J]. Chinese Journal of Lasers, 2018, 45(7): 0704004

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