Acta Optica Sinica, Volume. 41, Issue 16, 1611004(2021)
Polarimetric Imaging Target Classification Method Based on Attention Mechanism
Fig. 1. Characteristics of polarimetric imaging targets. (a1)(a2) S0, S1 and S2 samples of different iron flakes; (b1)(b2) S0, S1 and S2 samples of different bullets
Fig. 2. Flow charts of data processing. (a) Flow chart of data processing in CBAM; (b) flow chart of data processing in channel attention module; (c) flow chart of data processing in spatial attention module
Fig. 3. Flow charts of data processing in different modules. (a) Flow chart of data processing in convolution module; (b) flow chart of data processing in residual module
Fig. 4. Structural diagram of polarimetric imaging target classification network based on attention mechanism
Fig. 5. Experimental equipment and experimental environment. (a) SALSA polarization camera system; (b) outdoor shooting; (c) targets placed in grassland; (d) cropped target sample
Fig. 6. Experimental results for target classification in sandy area. (a) Classification accuracies of proposed method and traditional methods; (b) training losses of proposed method and traditional methods
Fig. 7. Experimental results for target classification in bare soil area. (a) Classification accuracies of proposed method and traditional methods; (b) training losses of proposed method and traditional methods
Fig. 8. Experimental results for target classification in grassland area. (a) Classification accuracie of proposed method and traditional methods; (b) training losses of proposed method and traditional methods
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Rui Sun, Xiaobing Sun, Xiao Liu, Qiang Song. Polarimetric Imaging Target Classification Method Based on Attention Mechanism[J]. Acta Optica Sinica, 2021, 41(16): 1611004
Category: Imaging Systems
Received: Jan. 19, 2021
Accepted: Mar. 18, 2021
Published Online: Aug. 12, 2021
The Author Email: Sun Xiaobing (xbsun@aiofm.ac.cn)