Ying Zhang, Heshen Li, Hao Wang, Junhua Sun, Xi Zhang, Huilan Liu, Yanhong Lv. Polarized multispectral image classification of typical ground objects based on neural network (Invited)[J]. Infrared and Laser Engineering, 2022, 51(6): 20220249
- Infrared and Laser Engineering
- Vol. 51, Issue 6, 20220249 (2022)
Fig. 1. (a) Structure diagram of polarized multispectral imaging system; (b) Physical system image
Fig. 2. Algorithm flow chart for registration
Fig. 3. Network structure diagram
Fig. 4. (a) Samples selected from a set of images; (b) I , Q , U components of a sample; (c) Degree of linear polarization of a sample; (d) Polarization angle of a sample
Fig. 5. (a) Training accuracy iterative image of network; (b) Training loss iterative image of network
Fig. 6. (a) Experimental scene; (b) One original image; (c) Classification results of this set of images by neural network
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Table 1. Main device parameters of polarized multispectral imaging system
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Table 2. Comparison of different classification methods
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