Laser & Optoelectronics Progress, Volume. 61, Issue 8, 0828002(2024)

Remote Sensing Image Fusion Based on Particle Swarm Optimization and Adaptive Injection Model

Shize Li and Yan Dong*
Author Affiliations
  • Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, Yunnan, China
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    References(33)

    [1] Dong L M, Yang Q X, Wu H Y et al. High quality multi-spectral and panchromatic image fusion technologies based on Curvelet transform[J]. Neurocomputing, 159, 268-274(2015).

    [2] Chen M M, Guo Q, Liu M L et al. Pan-sharpening by residual network with dense convolution for remote sensing images[J]. National Remote Sensing Bulletin, 25, 1270-1283(2021).

    [3] Wu Y Q, Wang Z L. Multispectral and panchromatic image fusion using chaotic Bee Colony optimization in NSST domain[J]. Journal of Remote Sensing, 21, 549-557(2017).

    [4] Yang Y, Wu L, Huang S Y et al. Compensation details-based injection model for remote sensing image fusion[J]. IEEE Geoscience and Remote Sensing Letters, 15, 734-738(2018).

    [5] Khan M M, Chanussot J, Condat L et al. Indusion: fusion of multispectral and panchromatic images using the induction scaling technique[J]. IEEE Geoscience and Remote Sensing Letters, 5, 98-102(2008).

    [6] Yang Y, Wu L, Huang S Y et al. Pan-sharpening for multiband images with adaptive spectral-intensity modulation[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11, 3196-3208(2018).

    [7] Liu P F, Xiao L, Li T. A variational pan-sharpening method based on spatial fractional-order geometry and spectral-spatial low-rank priors[J]. IEEE Transactions on Geoscience and Remote Sensing, 56, 1788-1802(2018).

    [8] Kang X D, Li S T, Benediktsson J A. Pan-sharpening with matting model[J]. IEEE Transactions on Geoscience and Remote Sensing, 52, 5088-5099(2014).

    [9] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition[C], 770-778(2016).

    [10] Joshi M V, Bruzzone L, Chaudhuri S. A model-based approach to multiresolution fusion in remotely sensed images[J]. IEEE Transactions on Geoscience and Remote Sensing, 44, 2549-2562(2006).

    [11] Xing Y H, Wang M, Yang S Y et al. Pan-sharpening with multiscale geometric support tensor machine[J]. IEEE Transactions on Geoscience and Remote Sensing, 56, 2503-2517(2018).

    [12] He L, Rao Y Z, Li J et al. Pan-sharpening via detail injection based convolutional neural networks[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12, 1188-1204(2019).

    [13] Liu X Y, Liu Q J, Wang Y H. Remote sensing image fusion based on two-stream fusion network[J]. Information Fusion, 55, 1-15(2020).

    [14] Fan W S, Liu F, Li M. Remote sensing image fusion based on two-branch U-shaped transformer[J]. Acta Photonica Sinica, 52, 0428002(2023).

    [15] Zhang H, Wang H, Tian X et al. P2Sharpen: a progressive pan-sharpening network with deep spectral transformation[J]. Information Fusion, 91, 103-122(2023).

    [16] Tu T M, Su S C, Shyu H C et al. A new look at IHS-like image fusion methods[J]. Information Fusion, 2, 177-186(2001).

    [17] Wang H R, Guo Q, Li A. Spatial-spectral fusion based on band-adaptive detail injection for GF-5 and sentinel-2 remote sensing images[J]. Journal of Image and Graphics, 26, 1896-1909(2021).

    [18] Leung Y, Liu J M, Zhang J S. An improved adaptive intensity-hue-saturation method for the fusion of remote sensing images[J]. IEEE Geoscience and Remote Sensing Letters, 11, 985-989(2014).

    [19] Eberhart R, Kennedy J. A new optimizer using particle swarm theory[C], 39-43(2002).

    [20] Yang Y, Wu L, Huang S Y et al. Remote sensing image fusion based on adaptively weighted joint detail injection[J]. IEEE Access, 6, 6849-6864(2018).

    [21] Yin H T, Li S T. Pan-sharpening with multiscale normalized nonlocal means filter: a two-step approach[J]. IEEE Transactions on Geoscience and Remote Sensing, 53, 5734-5745(2015).

    [22] Saeedi J, Faez K. A new pan-sharpening method using multiobjective particle swarm optimization and the shiftable contourlet transform[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 66, 365-381(2011).

    [23] Chen Y X, Chen Y, Liu C. Joint AIHS and particle swarm optimization for Pan-sharpening[J]. Acta Geodaetica et Cartographica Sinica, 48, 1296-1304(2019).

    [24] Clerc M, Kennedy J. The particle swarm-explosion, stability, and convergence in a multidimensional complex space[J]. IEEE Transactions on Evolutionary Computation, 6, 58-73(2002).

    [25] Yang Y, Wan W G, Huang S Y et al. A novel pan-sharpening framework based on matting model and multiscale transform[J]. Remote Sensing, 9, 391(2017).

    [26] Pushparaj J, Hegde A V. Evaluation of pan-sharpening methods for spatial and spectral quality[J]. Applied Geomatics, 9, 1-12(2017).

    [27] Jian L H, Yang X M, Wu W et al. Pan-sharpening using a guided image filter based on dual-scale detail extraction[J]. Journal of Ambient Intelligence and Humanized Computing, 1-15(2018).

    [28] Yin H T, Zhou W. Multi-scale dilated convolutional neural network based multi-focus image fusion algorithm[J]. Laser & Optoelectronics Progress, 60, 0210003(2023).

    [29] Cheng F F, Fu Z T, Huang L et al. Non-subsampled shearlet transform remote sensing image fusion combined with parameter-adaptive PCNN[J]. Acta Geodaetica et Cartographica Sinica, 50, 1380-1389(2021).

    [30] Chen G Y, Wu X J, Xu T Y. Unsupervised infrared image and visible image fusion algorithm based on deep learning[J]. Laser & Optoelectronics Progress, 59, 0410010(2022).

    [31] Jiang Y, Wang M H. Image fusion with morphological component analysis[J]. Information Fusion, 18, 107-118(2014).

    [32] Yang W, Mei L Y, Xu C et al. Multi-focus image fusion method based on depth dense convolutional neural network cooperative detection[J]. Laser & Optoelectronics Progress, 59, 2410004(2022).

    [33] Liu Y, Chen X, Peng H et al. Multi-focus image fusion with a deep convolutional neural network[J]. Information Fusion, 36, 191-207(2017).

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    Shize Li, Yan Dong. Remote Sensing Image Fusion Based on Particle Swarm Optimization and Adaptive Injection Model[J]. Laser & Optoelectronics Progress, 2024, 61(8): 0828002

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: May. 30, 2023

    Accepted: Jul. 24, 2023

    Published Online: Mar. 5, 2024

    The Author Email: Dong Yan (dongyanchina@sina.com)

    DOI:10.3788/LOP231414

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