Inversion of Suspended Particulate Matter Concentration in Maozhou River Based on Band Selection of Hyperspectral Data

Zhongkai Chen; Xiaorun Li; Liaoying Zhao

doi:10.3788/LOP202158.2001001

Journals >Laser & Optoelectronics Progress >Volume 58 >Issue 20 >Page 2001001 > Article

Laser & Optoelectronics Progress
Vol. 58, Issue 20, 2001001 (2021)

Inversion of Suspended Particulate Matter Concentration in Maozhou River Based on Band Selection of Hyperspectral Data

Zhongkai Chen¹, Xiaorun Li^1、*, and Liaoying Zhao²

Author Affiliations

¹College of Electrical Engineering, Zhejiang University, Hangzhou, Zhejiang 310027, China

²Institute of Computer Application Technology, Hangzhou Dianzi University, Hangzhou, Zhejiang 310018, China

show less

DOI: 10.3788/LOP202158.2001001 Cite this Article Set citation alerts

Zhongkai Chen, Xiaorun Li, Liaoying Zhao. Inversion of Suspended Particulate Matter Concentration in Maozhou River Based on Band Selection of Hyperspectral Data[J]. Laser & Optoelectronics Progress, 2021, 58(20): 2001001 Copy Citation Text

show less

Fig. 1. Structural diagram of multilayer perceptron with 2 hidden layers

Download full size

Fig. 2. Correlation matrices of remote sensing reflectance data. (a) March 11, 2019; (b) August 5, 2019

Download full size

Fig. 3. Neural network structure in PNN algorithm

Download full size

Fig. 4. Sum of entropy of different algorithms when M=12. (a) March 11, 2019; (b) August 5, 2019

Download full size

Date	C_min	C_max	C_mean	C_std
2019-03-11	4.00	18.00	6.89	8.10
2019-08-05	4.00	14.00	8.00	10.32

Table 1. Statistical results of SPM concentration mg·L^-1

Date	Spectral resolution	Minimum wavelength	Maximum wavelength
2019-03-11	1.98	399.87	997.58
2019-08-05	1.00	325.00	1075.00

Table 2. Statistical results of hyperspectral data measured by handheld spectrometersnm

Number of bands	MSE					MAE
Number of bands	DTBS	SVM-RFE	PNN-L1	PNN-L2	PNN-ReLU	DTBS	SVM-RFE	PNN-L1	PNN-L2	PNN-ReLU
6	20.13	11.69	6.75	7.10	5.58	2.78	2.10	1.43	1.04	1.15
9	12.77	11.53	4.77	8.40	5.81	2.03	1.46	1.10	1.27	1.14
12	6.26	12.78	5.58	6.31	5.89	1.24	2.22	1.17	1.23	1.18
15	12.99	6.95	9.04	5.11	6.40	2.03	1.60	1.30	1.23	1.18
18	16.26	16.96	4.35	4.41	7.00	2.42	2.05	0.95	1.02	1.02
21	19.32	8.85	3.32	8.53	5.09	2.88	1.54	0.80	1.38	1.21
24	10.11	5.12	10.88	4.04	5.19	1.81	1.08	1.64	0.85	1.19
27	13.18	20.84	4.65	5.79	7.62	2.04	2.74	1.00	1.03	1.13
30	11.91	13.72	5.81	5.16	7.42	1.90	2.39	1.27	0.93	1.39
33	11.74	17.73	7.11	3.88	4.83	1.93	1.99	1.47	0.79	1.04
36	12.84	17.02	7.33	3.98	5.81	1.89	2.10	1.34	0.91	1.22
39	12.54	18.99	3.40	3.55	6.42	2.08	2.25	1.06	0.81	1.34
42	10.79	10.80	8.16	4.69	5.58	1.87	1.72	1.31	1.15	1.13
45	14.83	15.41	4.80	5.19	7.85	2.04	2.57	1.05	1.06	1.28
48	7.60	15.67	8.92	4.23	4.95	1.44	2.42	1.82	0.92	1.16

Table 3. Experimental result comparison of SPM concentration inversion using neural network (March 11, 2019)

Number of bands	MSE					MAE
Number of bands	DTBS	SVM-RFE	PNN-L1	PNN-L2	PNN-ReLU	DTBS	SVM-RFE	PNN-L1	PNN-L2	PNN-ReLU
6	13.24	30.33	3.92	6.62	5.99	1.91	3.48	1.25	1.40	1.47
9	15.70	29.17	8.28	5.22	5.27	2.17	3.47	1.69	1.38	1.31
12	11.07	11.83	5.71	7.34	9.55	1.61	2.12	1.40	1.38	1.70
15	25.21	14.88	3.18	8.10	7.16	3.02	1.83	1.00	1.58	1.44
18	7.94	20.71	3.26	8.75	7.20	1.78	2.84	1.01	1.40	1.76
21	20.94	17.03	8.85	8.54	7.27	2.70	2.49	1.84	1.88	1.51
24	12.06	7.65	4.08	8.30	6.51	1.79	1.67	1.18	1.64	1.41
27	16.35	14.83	5.72	6.29	4.53	2.29	2.32	1.45	1.42	0.97
30	18.49	15.19	3.08	5.19	13.17	2.46	2.46	1.12	1.22	2.27
33	18.72	17.89	6.15	7.92	8.61	2.55	2.34	1.28	1.53	1.57
36	3.73	17.48	7.45	7.76	3.60	1.06	2.54	1.64	1.66	1.10
39	16.48	12.57	7.23	5.92	6.59	2.39	1.81	1.45	1.41	1.28
42	15.60	40.47	4.83	7.54	4.31	2.15	4.21	1.35	1.68	1.14
45	14.53	20.30	4.02	6.90	5.91	2.36	2.7	1.07	1.50	1.53
48	20.01	15.78	10.00	5.91	6.80	2.56	2.52	1.77	1.43	1.28

Table 4. Experimental result comparison of SPM concentration inversion using neural network model (August 5, 2019)

Number of bands	MSE					MAE
Number of bands	DTBS	SVM-RFE	PNN-L1	PNN-L2	PNN-ReLU	DTBS	SVM-RFE	PNN-L1	PNN-L2	PNN-ReLU
6	11.36	10.89	12.89	12.58	10.61	2.40	2.49	2.30	2.36	2.32
9	11.45	12.05	10.54	12.20	11.50	2.29	2.63	2.27	2.27	2.59
12	10.83	11.36	13.63	12.64	12.36	2.17	2.51	2.34	2.33	2.54
15	12.20	11.21	11.34	11.73	13.78	2.37	2.47	2.74	2.27	2.56
18	12.20	11.92	12.19	12.17	12.51	2.35	2.59	2.38	2.46	2.61
21	11.06	11.38	11.46	11.73	12.90	2.35	2.57	2.43	2.33	2.77
24	10.45	11.55	14.87	10.47	16.36	2.24	2.57	2.28	2.31	3.06
27	11.54	11.56	11.60	11.54	13.77	2.45	2.40	2.49	2.45	2.76
30	11.59	10.49	10.76	16.75	11.41	2.25	2.44	2.39	2.88	2.52
33	11.34	10.85	13.36	12.73	10.47	2.29	2.46	2.40	2.59	2.25
36	12.09	11.78	13.73	11.77	11.99	2.34	2.56	2.48	2.42	2.42
39	10.75	10.76	12.46	12.22	11.18	2.34	2.44	2.62	2.44	2.51
42	11.40	12.73	13.64	13.06	12.79	2.36	2.64	2.41	2.62	2.69
45	10.98	11.22	11.62	11.30	10.92	2.29	2.51	2.93	2.32	2.37
48	12.77	11.33	11.41	11.06	11.71	2.41	2.41	2.36	2.42	2.41

Table 5. Experimental result comparison of SPM concentration inversion using random forest model (March 11, 2019)

Number of bands	MSE					MAE
Number of bands	DTBS	SVM-RFE	PNN-L1	PNN-L2	PNN-ReLU	DTBS	SVM-RFE	PNN-L1	PNN-L2	PNN-ReLU
6	8.91	8.45	9.46	8.42	10.11	2.40	2.21	2.37	2.18	2.45
9	9.05	8.89	10.11	8.15	8.37	2.29	2.32	2.40	2.19	2.29
12	8.46	8.97	8.68	8.69	8.56	2.17	2.30	2.30	2.24	2.25
15	8.20	8.38	8.85	8.69	7.99	2.37	2.29	2.18	2.19	2.30
18	8.08	8.84	9.72	8.09	8.70	2.35	2.28	2.43	2.20	2.45
21	8.63	8.80	8.58	8.42	7.34	2.35	2.36	2.19	2.19	2.19
24	8.11	8.05	7.80	9.69	7.95	2.24	2.27	2.08	2.45	2.23
27	8.03	8.43	9.22	8.33	8.01	2.45	2.20	2.29	2.14	2.23
30	8.46	8.59	8.81	8.23	9.36	2.25	2.28	2.33	2.17	2.59
33	8.54	8.95	10.48	7.64	9.60	2.29	2.30	2.47	2.06	2.54
36	9.36	8.18	8.15	8.78	7.73	2.34	2.24	2.17	2.30	2.14
39	9.01	8.94	12.37	9.03	6.95	2.34	2.26	2.69	2.29	2.04
42	8.42	8.63	8.77	7.01	7.03	2.36	2.28	2.30	2.03	2.18
45	8.15	8.43	11.38	7.98	7.18	2.29	2.22	2.67	2.12	2.14
48	7.80	8.18	8.36	7.48	7.19	2.41	2.20	2.28	2.00	2.09

Table 6. Experimental result comparison of SPM concentration inversion using random forest model (August 5, 2019)

Download Citation

Set citation alerts for the article

Tools

Set citation alerts for the article

Save the article for my favorites

Paper Information