[1] 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).
[2] Mansoor A B, Mumtaz M, Masood H et al. Personal identification using palmprint and contourlet transform[M]. Bebis G, Boyle R, Parvin B, et al. Advances in visual computing. Lecture notes in computer science, 5359, 521-530(2008).
[3] Masoudi R, Kabiri P. New intensity-hue-saturation pan-sharpening method based on texture analysis and genetic algorithm-adaption[J]. Journal of Applied Remote Sensing, 8, 083640(2014).
[4] Jelének J, Kopačková V, Koucká L et al. Testing a modified PCA-based sharpening approach for image fusion[J]. Remote Sensing, 8, 794(2016).
[5] Mura M D, Vivone G, Restaino R et al. Global and local Gram-Schmidt methods for hyperspectral pansharpening[C], 37-40(2015).
[6] 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).
[7] Ghahremani M, Ghassemian H. Remote-sensing image fusion based on curvelets and ICA[J]. International Journal of Remote Sensing, 36, 4131-4143(2015).
[8] Metwalli M R, Nasr A H, Faragallah O S et al. Efficient pan-sharpening of satellite images with the contourlet transform[J]. International Journal of Remote Sensing, 35, 1979-2002(2014).
[9] Easley G, Labate D, Lim W Q. Sparse directional image representations using the discrete shearlet transform[J]. Applied and Computational Harmonic Analysis, 25, 25-46(2008).
[10] Anandhi D, Valli S. An algorithm for multi-sensor image fusion using maximum a posteriori and nonsubsampled contourlet transform[J]. Computers & Electrical Engineering, 65, 139-152(2018).
[11] Yan B Y, Kong Y Y. A fusion method of SAR image and optical image based on NSCT and gram-Schmidt transform[C], 2332-2335(2020).
[12] Cao Y, Li S T, Hu J W. Multi-focus image fusion by nonsubsampled shearlet transform[C], 17-21(2011).
[13] Benjamin J R, Jayasree T. An efficient MRI-PET medical image fusion using non-subsampled shearlet transform[C](2019).
[14] Cheng F F, Fu Z T, Niu B S et al. Fusion of domestic high resolution multispectral and panchromatic remote sensing images based on NSST[J]. Laser & Optoelectronics Progress, 59, 1228001(2022).
[15] Li W, Li Z M. NSST-based perception fusion method for infrared and visible images[J]. Laser & Optoelectronics Progress, 58, 2010014(2021).
[16] Wang X H, Tao J Z, Shen Y T et al. A NSST Pansharpening method based on directional neighborhood correlation and tree structure matching[J]. Multimedia Tools and Applications, 78, 26787-26806(2019).
[17] Eckhorn R, Reitboeck H J, Arndt M et al. Feature linking via synchronization among distributed assemblies: simulations of results from cat visual cortex[J]. Neural Computation, 2, 293-307(1990).
[18] Johnson J L, Padgett M L. PCNN models and applications[J]. IEEE Transactions on Neural Networks, 10, 480-498(1999).
[19] Kinser J M. Simplified pulse-coupled neural network[J]. Proceedings of SPIE, 2760, 563-567(1996).
[20] Kong W W, Lei Y J, Lei Y et al. Technique for image fusion based on non-subsampled contourlet transform domain improved NMF[J]. Science China Information Sciences, 53, 2429-2440(2010).
[21] Cai X, Guang H, Wang J K. Multiwavelet-based image fusion method using unit-linking pulse coupled neural networks[J]. Advanced Materials Research, 905, 548-551(2014).
[22] Liu S Q, Zhao J, Shi M Z. Medical image fusion based on rolling guidance filter and spiking cortical model[J]. Computational and Mathematical Methods in Medicine, 2015, 156043(2015).
[23] Wang H M. Multi-focus image fusion algorithm based on focus detection in spatial and NSCT domain[J]. PLoS One, 13, e0204225(2018).
[24] Chen Y L, Park S K, Ma Y D et al. A new automatic parameter setting method of a simplified PCNN for image segmentation[J]. IEEE Transactions on Neural Networks, 22, 880-892(2011).
[25] Yin M, Liu X N, Liu Y et al. Medical image fusion with parameter-adaptive pulse coupled neural network in nonsubsampled shearlet transform domain[J]. IEEE Transactions on Instrumentation and Measurement, 68, 49-64(2019).
[26] Wang Z B, Ma Y D, Gu J. Multi-focus image fusion using PCNN[J]. Pattern Recognition, 43, 2003-2016(2010).
[27] Xiang T Z, Yan L, Gao R R. A fusion algorithm for infrared and visible images based on adaptive dual-channel unit-linking PCNN in NSCT domain[J]. Infrared Physics & Technology, 69, 53-61(2015).
[28] Cheng B Y, Jin L X, Li G N. Infrared and visual image fusion using LNSST and an adaptive dual-channel PCNN with triple-linking strength[J]. Neurocomputing, 310, 135-147(2018).
[29] Liu S Q, Wang J, Lu Y C et al. Multi-focus image fusion based on adaptive dual-channel spiking cortical model in non-subsampled shearlet domain[J]. IEEE Access, 7, 56367-56388(2019).
[30] Panigrahy C, Seal A, Mahato N K. Fractal dimension based parameter adaptive dual channel PCNN for multi-focus image fusion[J]. Optics and Lasers in Engineering, 133, 106141(2020).
[31] Panigrahy C, Seal A, Mahato N K. MRI and SPECT image fusion using a weighted parameter adaptive dual channel PCNN[J]. IEEE Signal Processing Letters, 27, 690-694(2020).
[32] Connah D, Drew M S, Finlayson G D. Spectral edge image fusion: theory and applications[M]. Fleet D, Pajdla T, Schiele B, et al. Computer vision-ECCV 2014. Lecture notes in computer science, 8693, 65-80(2014).
[33] Xia J M, Chen Y M, Chen A Y et al. Medical image fusion based on sparse representation and PCNN in NSCT domain[J]. Computational and Mathematical Methods in Medicine, 2018, 2806047(2018).
[34] Wang Q, Lei Y, Ren C et al. Spiking cortical model: a new member in the third generation of artificial neural network[C], 1883-1887(2019).
[35] Chen X L, Gong Q W, Ren Z et al. Identification of abnormal state of UHVDC power grid based on random matrix theory[J]. Engineering Journal of Wuhan University, 53, 232-240(2020).
[36] Wu C M, Chen L. Infrared and visible image fusion method of dual NSCT and PCNN[J]. PLoS One, 15, e0239535(2020).
[37] Tan W, Tiwari P, Pandey H M et al. Multimodal medical image fusion algorithm in the era of big data[J]. Neural Computing and Applications, 1-21(2020).
[38] Han Y, Cai Y Z, Cao Y et al. A new image fusion performance metric based on visual information fidelity[J]. Information Fusion, 14, 127-135(2013).
[39] Haghighat M B A, Aghagolzadeh A, Seyedarabi H. A non-reference image fusion metric based on mutual information of image features[J]. Computers & Electrical Engineering, 37, 744-756(2011).
[40] Pushparaj J, Hegde A V. Evaluation of pan-sharpening methods for spatial and spectral quality[J]. Applied Geomatics, 9, 1-12(2017).