Object Detection by Deep Sparse Feature Learning of Salient Polarization Parameters

Meirong Wang; Guoming Xu; Hongwu Yuan

doi:10.3788/LOP56.191101

Laser & Optoelectronics Progress, Volume. 56, Issue 19, 191101(2019)

Object Detection by Deep Sparse Feature Learning of Salient Polarization Parameters

Meirong Wang¹, Guoming Xu^1,2、*, and Hongwu Yuan^1,2

Author Affiliations

¹Institute of Information Engineering, Anhui Xinhua University, Hefei, Anhui 230088, China

²Anhui Province Key Laboratory of Polarized Imaging Detecting Technology, Army Artillery and Air Defense Forces Academy, Chinese People's Liberation Army, Hefei, Anhui 230031, China

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Abstract Get PDF(in Chinese)

Figures & Tables(8)

Fig. 1. Object detection framework

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Fig. 2. Object detection algorithm for salient polarization parameter image

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Fig. 3. Test data (0° polarization direction). (a) Airplane; (b) tank; (c) truck

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Fig. 4. Results of salient parameter image selection. (a1)-(c1) Images of airplane 1, airplane 2, and truck; (a2)-(c2) salient selected results

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Fig. 5. Results of object detection. (a1)-(c1) Images of airplane 1, airplane 2, and truck; (a2)-(c2) salient image detection results

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Table 1. Results before and after polarization analysis and salient parameter image selection
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Table 1. Results before and after polarization analysis and salient parameter image selection
Criteria Airplane 1 Airplane 2 Truck
0° Salient 0° Salient 0° Salient
E_n 3.75 6.84 5.29 6.54 6.22 6.77
$\begin{matrix} \bar{g} \end{matrix}$ 0.31 0.29 0.36 0.39 0.87 0.61
σ 5.55 29.94 30.22 25.65 75.69 44.19

Table 2. Comparison of detection results of different image objects

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Table 2. Comparison of detection results of different image objects

Object	mAP	AP
Object	mAP	Airplane 1	Airplane 2	Tank 1	Truck	Tank 2
Polarization angle of 0°	63.88	69.3	61.2	71.4	66.4	51.1
Polarization angle of 60°	63.08	68.5	59.8	70.6	65.9	50.6
Polarization angle of 120°	63.42	69.0	60.3	70.8	66.3	50.7
I	63.72	70.2	60.1	72.3	65.8	50.2
Q	60.64	64.4	57.4	68.8	61.3	51.3
U	53.7	64.9	37.6	62.9	54.4	48.7
P	60.46	70.3	45.3	70.1	67.1	49.5
A	52.24	59.4	37.7	58.8	60.7	44.6
E_x	61.18	70.0	57.6	67.0	63.5	47.8
E_y	59.56	64.7	56.8	56.2	67.9	52.2
ΔE	57.74	64.6	53.6	55.3	65.4	49.8
β	31.85	N	N	N	23.4	40.3

Table 3. Comparison of detection results of different models
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Table 3. Comparison of detection results of different models
Model Time /s mAP/average Airplane 1 Airplane 2 Tank
AP/score AP/score AP/score
Faster R-CNN 0.7 66.1/0.741 68.1/0.842 59.5/0.619 70.6/0.762
Proposed 24 67.9/0.819 70.3/0.897 61.2/0.680 72.3/0.881

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Meirong Wang, Guoming Xu, Hongwu Yuan. Object Detection by Deep Sparse Feature Learning of Salient Polarization Parameters[J]. Laser & Optoelectronics Progress, 2019, 56(19): 191101

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