Infrared Technology, Volume. 45, Issue 7, 696(2023)
A Panchromatic and Multispectral Image Fusion Method Combining Energy and Structural Information
[3] [3] LIU P, 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, 2018, 56(3): 1788-1802.
[6] [6] WU Z, HUANG T, DENG L, et al. VO+Net: an adaptive approach using variational optimization and deep learning for panchromatic sharpening[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-16.
[7] [7] YANG Z, FU X, LIU A, et al. Progressive pan-sharpening via cross-scale collaboration networks[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19: 1-5.
[8] [8] WU Z, HUANG T, DENG L, et al. A new variational approach based on proximal deep injection and gradient intensity similarity for spatio-spectral image fusion[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13: 6277-6290.
[9] [9] Deng L, Vivone G, Paoletti M, et al. Machine learning in pansharpening: a benchmark, from shallow to deep networks[J]. IEEE Geoscience and Remote Sensing Magazine, 2022, 10(3): 279-315.
[10] [10] ZHANG Z Y, HUANG T Z, DENG L J,et al. Pan-sharpening via rog-based filtering[C]//IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, 2019: 2790-2793. DOI: 10.1109/ IGARSS. 2019.8899330.
[15] [15] Padwick C, Deskevich M, Pacifici F, et al. Worldview-2 pan-sharpening[C]//ASPRS 2010 Annual Conference, 2010: 1-14.
[16] [16] ZHANG Qi, SHEN Xiaoyong, XU Li, et al. Rolling guidance filter[C]//European Conference on Computer Vision (ECCV), 2014: 815-830.
[17] [17] LI X, ZHOU F, TAN H, et al. Multimodal medical image fusion based on joint bilateral filter and local gradient energy[J]. Information Sciences, 2021, 569: 302-325.
[18] [18] Garzelli A, Nencini F, Capobianco L. Optimal MMSE pan sharpening of very high resolution multispectral images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(1): 228-236.
[19] [19] Vivone G. Robust band-dependent spatial-detail approaches for panchromatic sharpening[J]. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(9): 6421-6433.
[20] [20] Lolli S, Alparone L, Garzelli A, et al. Haze correction for contrast-based multispectral pansharpening[J]. IEEE Geoscience and Remote Sensing Letters, 2017, 14(12): 2255-2259.
[21] [21] Restaino R, Dalla Mura M, Vivone G, et al. Context-adaptive pansharpening based on image segmentation[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(2): 753-766.
[22] [22] MENG X, XIONG Y, SHAO F, et al. A large-scale benchmark data set for evaluating pansharpening performance: overview and implementation[J]. IEEE Geoscience and Remote Sensing Magazine, 2021, 9(1): 18-52.
[23] [23] Aiazzi B, Baronti S, Selva M. Improving component substitution pansharpening through multivariate regression of MS+Pan Data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2007, 45(10): 3230-3239.
[24] [24] 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, 2008, 5(1): 98-102.
[25] [25] Vivone G, Restaino R, Chanussot J. Full scale regression-based injection coefficients for panchromatic sharpening[J]. IEEE Transactions on Image Processing, 2018, 27(7): 3418-3431.
[26] [26] Vivone G, Restaino R, Chanussot J. A regression-based high-pass modulation pansharpening approach[J]. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(2): 984-996.
[27] [27] Palsson F, Sveinsson J R, Ulfarsson M O, et al. Model-based fusion of multi- and hyperspectral images using PCA and wavelets[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(5): 2652-2663.
[28] [28] Roberta H. Yuhas A F H G. Discrimination among semi-arid landscape endmembers using the spectral angle mapper (SAM) algorithm[J]. Proc. Summaries 3rd Annu. JPL Airborne Geosci. Workshop, 1992(1): 147-149.
[29] [29] Alparone L, Wald L, Chanussot J, et al. Comparison of pansharpening algorithms: outcome of the 2006 GRS-S data-fusion contest[J]. IEEE Transactions on Geoscience and Remote Sensing, 2007, 45(10): 3012-3021.
[30] [30] Otazu X, Gonzalez-Audicana M, Fors O, et al. Introduction of sensor spectral response into image fusion methods. Application to wavelet-based methods[J]. IEEE Transactions on Geoscience and Remote Sensing, 2005, 43(10): 2376-2385.
[31] [31] ZHOU Wang, A C Bovik. A universal image quality index[J]. IEEE Signal Processing Letters, 2002, 9(3): 81-84.
[32] [32] Alparone L, Baronti S, Garzelli A, et al. A global quality measurement of pan-sharpened multispectral imagery[J]. IEEE Geoscience and Remote Sensing Letters, 2004, 1(4): 313.
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SONG Jiawen, ZHU Daming, ZUO Xiaoqing, FU Zhitao, CHEN Sijing. A Panchromatic and Multispectral Image Fusion Method Combining Energy and Structural Information[J]. Infrared Technology, 2023, 45(7): 696
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Received: Apr. 14, 2023
Accepted: --
Published Online: Jan. 15, 2024
The Author Email: Daming ZHU (634617255@qq.com)
CSTR:32186.14.