Remote Sensing Image Super-Resolution Reconstruction Based on Multiscale Parameter-Free Attention Mechanism Enhanced Network

Jian Zheng; Zilong Liu; Xiangchun Yu

doi:10.3788/LOP241057

Laser & Optoelectronics Progress, Volume. 61, Issue 24, 2428008(2024)

Remote Sensing Image Super-Resolution Reconstruction Based on Multiscale Parameter-Free Attention Mechanism Enhanced Network

Jian Zheng^1,2, Zilong Liu¹, and Xiangchun Yu^1、*

Author Affiliations

¹School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, Jiangxi , China

²Yichun Lithium New Energy Industry Research Institute, Jiangxi University of Science and Technology, Yichun 336023, Jiangxi , China

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Figures & Tables(6)

Fig. 1. Network framework of MPAEN method

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Fig. 2. Reconstruction results by different methods on PatternNet dataset

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Fig. 3. Reconstruction results by different methods on NWPUR-ESISC45 dataset

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Table 1. Evaluation indexes for reconstruction results by different methods on PatternNet dataset

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Table 1. Evaluation indexes for reconstruction results by different methods on PatternNet dataset

Method	Runtime /ms	PNSR /dB	SSIM	NIQE	VIF
Bicubic	—	24.6517	0.6786	9.5012	0.2491
DBPN	75.32	25.6999	0.7622	9.1287	0.3170
RCAN	118.07	25.8211	0.7366	8.9969	0.3329
RDN	130.29	25.6505	0.7324	9.1222	0.3286
EDSR	211.36	25.9187	0.7408	8.7950	0.3317
SAFMN	72.06	25.8857	0.7399	9.2657	0.2984
MHAN	152.13	25.7419	0.7636	9.1135	0.3002
SAN	126.72	25.4496	0.7241	9.2342	0.2953
SwinIR	60.86	25.9543	0.7423	8.9779	0.3395
Proposed method	20.40	26.1408	0.7697	8.8042	0.3458

Table 2. Evaluation indexes of reconstruction results by different methods on NWPUR-ESISC45 dataset

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Table 2. Evaluation indexes of reconstruction results by different methods on NWPUR-ESISC45 dataset

Method	Runtime /ms	PNSR /dB	SSIM	NIQE	VIF
Bicubic	—	25.7913	0.6979	9.5846	0.2669
DBPN	67.53	27.3589	0.7794	9.3133	0.3312
RCAN	98.15	27.4084	0.7536	8.8737	0.3186
RDN	121.09	27.3292	0.7512	8.7743	0.3255
EDSR	203.74	27.4407	0.7559	8.7514	0.3693
SAFMN	56.68	27.4012	0.7565	9.2152	0.3642
MHAN	158.34	27.4136	0.7809	9.2866	0.3597
SAN	122.89	27.1987	0.7462	9.3533	0.3100
SwinIR	65.37	27.4267	0.7567	8.9800	0.3689
Proposed method	17.86	27.5816	0.7838	8.7612	0.3732

Table 3. Network reconstruction performance with different amounts of MPAEM on NWPUR-ESISC45 dataset

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Table 3. Network reconstruction performance with different amounts of MPAEM on NWPUR-ESISC45 dataset

Number of MPAEM	Runtime /ms	PNSR /dB	SSIM	NIQE	VIF
1	3.78	26.8934	0.7284	9.4852	0.3058
2	7.12	27.1002	0.7504	9.3686	0.3103
3	10.89	27.2825	0.7597	9.2008	0.3287
4	13.41	27.3984	0.7710	8.9894	0.3531
5	15.33	27.5305	0.7802	8.8006	0.3683
6	17.86	27.5816	0.7838	8.7612	0.3732
7	22.97	27.4137	0.7816	8.7991	0.3729
8	27.53	27.3979	0.7819	8.7685	0.3740

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Jian Zheng, Zilong Liu, Xiangchun Yu. Remote Sensing Image Super-Resolution Reconstruction Based on Multiscale Parameter-Free Attention Mechanism Enhanced Network[J]. Laser & Optoelectronics Progress, 2024, 61(24): 2428008

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Paper Information

Category: Remote Sensing and Sensors

Received: Apr. 8, 2024

Accepted: May. 9, 2024

Published Online: Dec. 12, 2024

The Author Email: Xiangchun Yu (yuxc@jxust.edu.cn)

DOI:10.3788/LOP241057

CSTR:32186.14.LOP241057

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology