Response Degradation Analysis of Fengyun-3A Medium-Resolution Spectral Imager Based on Intelligent Detection of Invariant Pixels

Junwei Wang; Xiuqing Hu; Yuqing He; Kun Gao

doi:10.3788/AOS201939.0912001

Acta Optica Sinica, Volume. 39, Issue 9, 0912001(2019)

Response Degradation Analysis of Fengyun-3A Medium-Resolution Spectral Imager Based on Intelligent Detection of Invariant Pixels

Junwei Wang¹, Xiuqing Hu^2,3、*, Yuqing He¹, and Kun Gao¹

Author Affiliations

¹ School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China

² National Satellite Meteorological Center, China Meteorological Administration, Beijing 100081, China

³ Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, China Meteorological Administration, Beijing 100081, China

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Figures & Tables(10)

Fig. 1. Flow chart of IR-MAD-based calibration procedure of MERSI

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Fig. 2. Orthogonal regression results of two image pairs with different intervals in different channels. (a)(e) Channel 1; (b)(f) channel 4; (c)(g) channel 8; (d)(h) channel 20

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Fig. 3. Regression slopes and number of NCPs as functions of VZA in different channels. (a) Channel 1; (b) channel 2; (c) channel 3; (d) channel 4

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Fig. 4. Number of NCPs as a function of number of iterations

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Fig. 5. Scatter distributions of comparison results from all image pairs over north Africa dataset. (a) Channel 4; (b) channel 20

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Fig. 6. Degradation curves of each sensor channel with time

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Fig. 7. Scatter distributions of normalized comparison results from all image pairs over north Africa dataset. (a) Channel 4; (b) channel 20

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Fig. 8. Comparison of total degradation rates of reflected solar channels of FY-3A/MERSI derived by five different methods from November 2008 to August 2012

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Table 1. Specifications of each spectral band of FY-3A/MERSI

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Table 1. Specifications of each spectral band of FY-3A/MERSI

Band	${C_{W}}_{}$ /μm	${B_{W}}_{}$ /μm	${R_{es}}_{}$ /m	${r_{sto}}_{}$ /%	${D_{R}}_{}$ /%	Band	${C_{W}}_{}$ /μm	${B_{W}}_{}$ /μm	${R_{es}}_{}$ /m	${r_{sto}}_{}$ /%	${D_{R}}_{}$ /%
1	0.470	0.05	250	0.40	100	11	0.520	0.02	1000	0.05	80
2	0.550	0.05	250	0.40	100	12	0.565	0.02	1000	0.05	80
3	0.650	0.05	250	0.40	100	13	0.650	0.02	1000	0.05	80
4	0.865	0.05	250	0.40	100	14	0.685	0.02	1000	0.05	80
5	11.250	2.50	250	-	-	15	0.765	0.02	1000	0.05	80
6	1.640	0.05	1000	0.08	90	16	0.865	0.02	1000	0.05	80
7	2.130	0.05	1000	0.07	90	17	0.905	0.02	1000	0.10	90
8	0.412	0.02	1000	0.10	80	18	0.940	0.02	1000	0.10	90
9	0.443	0.02	1000	0.10	80	19	0.980	0.02	1000	0.10	90
10	0.490	0.02	1000	0.05	80	20	1.030	0.02	1000	0.10	90
Note: C_W is central wavelength, B_W is band width, R_es is spatial resolution on nadir, r_sto is signal-to-noise ratio, D_R is dynamic range; band 5 is one infrared emissive channel, whose signal-to-noise ratio and dynamic range are different from those of other bands, and its signal-to-noise is 0.4 K and dynamic range is 330 K.

Table 2. Numbers of mi, coefficients of polynomial fitting, and CV values of normalized sample points in each channel

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Table 2. Numbers of mi, coefficients of polynomial fitting, and CV values of normalized sample points in each channel

Band	Number of NCPs	a₁	a₂	${C_{V}}_{}$ /%	Band	Number of NCPs	a₁	a₂	${C_{V}}_{}$ /%
1	4606	-1.53×10^-4	4.84×10^-8	5.53	12	5694	-4.03×10^-5	1.55×10^-8	4.25
2	5350	-8.16×10^-5	2.83×10^-8	4.08	13	5470	1.36×10^-5	1.46×10^-9	3.63
3	5268	1.28×10^-5	3.12×10^-9	2.89	14	5384	9.04×10^-6	3.07×10^-9	3.15
4	5177	7.23×10^-6	-7.95×10^-9	3.07	15	5825	-1.18×10^-5	5.11×10^-9	3.35
8	5058	-3.25×10^-4	7.48×10^-8	7.76	16	5380	7.79×10^-6	-9.84×10^-9	2.73
9	5440	-1.62×10^-4	1.68×10^-8	7.55	17	3263	-6.38×10^-5	1.88×10^-8	6.16
10	5498	-1.12×10^-4	2.60×10^-8	6.14	19	3423	-6.78×10^-5	7.97×10^-9	5.65
11	5392	-8.88×10^-5	2.65×10^-8	4.91	20	5175	-8.57×10^-5	-7.52×10^-9	3.24

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Junwei Wang, Xiuqing Hu, Yuqing He, Kun Gao. Response Degradation Analysis of Fengyun-3A Medium-Resolution Spectral Imager Based on Intelligent Detection of Invariant Pixels[J]. Acta Optica Sinica, 2019, 39(9): 0912001

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Paper Information

Category: Instrumentation, Measurement and Metrology

Received: Feb. 26, 2019

Accepted: May. 9, 2019

Published Online: Sep. 9, 2019

The Author Email: Hu Xiuqing (huxq@cma.cn)

DOI:10.3788/AOS201939.0912001

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