An Improved Moment Matching Algorithm for Non-Uniform Correction of Hyperspectral Images

Zanwei Yang; Liangliang Zheng; Yong Wu; Hongsong Qu

doi:10.3788/LOP57.082801

Laser & Optoelectronics Progress, Volume. 57, Issue 8, 082801(2020)

An Improved Moment Matching Algorithm for Non-Uniform Correction of Hyperspectral Images

Zanwei Yang^1,2, Liangliang Zheng^1、*, Yong Wu¹, and Hongsong Qu¹

¹Department of Advanced Space Technology, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin 130033, China

²University of Chinese Academy of Sciences, Beijing 100049, China

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Figures & Tables(13)

Fig. 1. Flow chart of improved moment matching non-uniformity correction algorithm

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Fig. 2. Simulated images. (a) Original image; (b) image with stripe noise

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Fig. 3. Destriped results of simulated image in Fig. 2(b) by different methods. (a) BW; (b) WMM; (c) DSLFRI; (d) HM; (e) proposed method

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Fig. 4. Gray mean values of simulated image in column.(a)Original image;(b) image with stripe noise

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Fig. 5. Gray mean values of destriped results in column by different methods. (a) BW; (b) WMM; (c) DSLFRI; (d) HM; (e) proposed method

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Fig. 6. Destriped results of hyperspectral image of band 25 by different methods. (a) Original image; (b)BW; (c) WMM; (d) DSLFRI; (e) HM; (f) proposed method

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Fig. 7. Destriped results of hyperspectral image of band 27 by different methods. (a) Original image; (b) BW; (c) WMM; (d) DSLFRI; (e) HM; (f) proposed method

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Fig. 8. Gray mean scale of destriped results of hyperspectral image of band 25 by different methods. (a) Original image; (b) BW; (c) WMM; (d) DSLFRI; (e) HM; (f) proposed method

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Fig. 9. Gray mean values of destriped results of hyperspectral image of band 27 by different methods. (a) Original image; (b) BW; (c) WMM; (d) DSLFRI; (e) HM; (f) proposed method

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Table 1. Comparison of assessment criteria for simulated image in Fig. 2(b)
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Table 1. Comparison of assessment criteria for simulated image in Fig. 2(b)
Method BW WMM DSLFRI HM Proposed method
M_SE 21.0550 7.8356 8.0533 17.7713 1.8726
P_SNR /dB 34.8972 39.1901 39.0711 35.6336 45.4064
S_SIM 0.5744 0.9631 0.9649 0.7336 0.9903

Table 2. Comparison of objective indexes for simulated images with different noises

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Table 2. Comparison of objective indexes for simulated images with different noises

Destripe noise	Index	BW	WMM	DSLFRI	HM	Proposed method
Random noise in [10,40]	M_SE	20.1356	6.1987	7.0727	35.2071	1.9322
	P_SNR	35.0912	40.2078	39.6349	32.6645	45.2703
	S_SIM	0.5827	0.9672	0.9658	0.7369	0.9873
Random noise in [20,40]	M_SE	21.0550	7.8356	8.0533	17.7713	1.8726
	P_SNR	34.8972	39.1901	39.0711	35.6336	45.4064
	S_SIM	0.5744	0.9631	0.9649	0.7336	0.9903
Random noise in [30,40]	M_SE	22.7440	10.9156	11.0126	29.5307	1.7772
	P_SNR	34.5621	37.7503	37.7119	33.4281	45.6335
	S_SIM	0.5589	0.9612	0.9636	0.6554	0.9890
Periodic noise in [10,40]	M_SE	19.7578	4.6047	6.0389	13.6609	1.7803
	P_SNR	35.1734	41.4963	40.3212	36.7760	45.6259
	S_SIM	0.5786	0.9700	0.9653	0.7994	0.9918
Periodic noise in [20,40]	M_SE	20.1146	5.1281	6.4104	14.7842	1.7127
	P_SNR	35.0957	41.0313	40.0619	36.4328	45.7941
	S_SIM	0.5667	0.9681	0.9654	0.7667	0.9921
Periodic noise in [30,40]	M_SE	20.2325	5.3042	6.5791	15.3984	1.6796
	P_SNR	35.0703	40.8846	39.9491	36.2561	45.8788
	S_SIM	0.5605	0.9679	0.9650	0.7492	0.9924

Table 3. Comparison of objective indexes for hyperspectral image of band 25
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Table 3. Comparison of objective indexes for hyperspectral image of band 25
Method Original image BW WMM DSLFRI HM Proposed method
I_CV 6.9814 6.8634 7.0689 7.1678 7.3671 7.6435
D_EC 160.0580 163.9211 156.0881 151.8557 141.0393 136.6519
R_M 2.7792 0.8047 2.6096 2.6059 2.6577 2.4399

Table 4. Comparison of objective indexes for hyperspectral image of band 27
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Table 4. Comparison of objective indexes for hyperspectral image of band 27
Method Original image BW WMM DSLFRI HM Proposed method
I_CV 8.7764 8.4786 8.9338 8.5883 8.6529 9.7724
D_EC 116.2303 123.5045 112.1258 97.3851 100.0544 94.8759
R_M 2.9238 0.9346 2.7818 2.7676 3.2459 2.5334

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Zanwei Yang, Liangliang Zheng, Yong Wu, Hongsong Qu. An Improved Moment Matching Algorithm for Non-Uniform Correction of Hyperspectral Images[J]. Laser & Optoelectronics Progress, 2020, 57(8): 082801

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