{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T22:13:53Z","timestamp":1780611233889,"version":"3.54.1"},"reference-count":65,"publisher":"Springer Science and Business Media LLC","issue":"14","license":[{"start":{"date-parts":[[2023,1,6]],"date-time":"2023-01-06T00:00:00Z","timestamp":1672963200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,6]],"date-time":"2023-01-06T00:00:00Z","timestamp":1672963200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2023,7]]},"DOI":"10.1007\/s10489-022-04406-2","type":"journal-article","created":{"date-parts":[[2023,1,6]],"date-time":"2023-01-06T06:05:01Z","timestamp":1672985101000},"page":"17492-17507","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Siamese conditional generative adversarial network for multi-focus image fusion"],"prefix":"10.1007","volume":"53","author":[{"given":"Huaguang","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenhua","family":"Qian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rencan","family":"Nie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinde","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dan","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,1,6]]},"reference":[{"key":"4406_CR1","doi-asserted-by":"publisher","first-page":"1982","DOI":"10.1109\/TMM.2019.2895292","volume":"21","author":"X Guo","year":"2019","unstructured":"Guo X, Nie R, Cao J, Zhou D, Mei L, He K (2019) FuseGAN: learning to fuse multi-focus image via conditional generative adversarial network. IEEE Transac Multimed 21:1982\u20131996","journal-title":"IEEE Transac Multimed"},{"issue":"1","key":"4406_CR2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10489-019-01562-w","volume":"51","author":"SS Fang","year":"2021","unstructured":"Fang SS, Chai ZY, Li YL (2021) Dynamic multi-objective evolutionary algorithm for IoT services. Appl Intell 51(1):1\u201324","journal-title":"Appl Intell"},{"key":"4406_CR3","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1016\/j.inffus.2014.05.003","volume":"22","author":"X Bai","year":"2015","unstructured":"Bai X, Zhang Y, Zhou F, Xue B (2015) Quadtree-based multi-focus image fusion using a weighted focus-measure. Inform Fusion 22:105\u2013118","journal-title":"Inform Fusion"},{"key":"4406_CR4","doi-asserted-by":"crossref","unstructured":"Daniel, Ebenezer (2018) Optimum Wavelet-Based Homomorphic Medical Image Fusion Using Hybrid Genetic\u2013Grey Wolf Optimization Algorithm. IEEE Sensors J:6804\u20136811","DOI":"10.1109\/JSEN.2018.2822712"},{"key":"4406_CR5","doi-asserted-by":"crossref","unstructured":"Zhou Z, Bo W, Sun L, Dong M 2016 (2016) \u201cPerceptual fusion of infrared and visible images through a hybrid multi-scale decomposition with Gaussian and bilateral filters,\u201d Information Fusion, vol. 30.","DOI":"10.1016\/j.inffus.2015.11.003"},{"issue":"5","key":"4406_CR6","doi-asserted-by":"publisher","first-page":"5353","DOI":"10.1007\/s10489-021-02732-5","volume":"52","author":"Y Chi","year":"2022","unstructured":"Chi Y, Li J, Fan H (2022) Pyramid-attention based multi-scale feature fusion network for multispectral pan-sharpening[J]. Appl Intell 52(5):5353\u20135365","journal-title":"Appl Intell"},{"issue":"11","key":"4406_CR7","doi-asserted-by":"publisher","first-page":"1041","DOI":"10.1049\/iet-ipr.2017.0104","volume":"11","author":"F Fakhari","year":"2017","unstructured":"Fakhari F, Mosavi MR, Lajvardi MM (2017) Image fusion based on multi-scale transform and sparse representation: an image energy approach. IET Image Process 11(11):1041\u20131049","journal-title":"IET Image Process"},{"key":"4406_CR8","doi-asserted-by":"crossref","unstructured":"Xl A, Fz A, Htb C, Yc A, Wz A (2021) \u201cMulti-focus image fusion based on nonsubsampled contourlet transform and residual removal,\u201d Signal Processing, vol. 184","DOI":"10.1016\/j.sigpro.2021.108062"},{"key":"4406_CR9","first-page":"90","volume-title":"Medical image fusion using Daubechies complex wavelet and near set[M]\/\/transactions on computational science XXV","author":"P Chatterjee","year":"2015","unstructured":"Chatterjee P, Ghoshal S, Biswas B et al (2015) Medical image fusion using Daubechies complex wavelet and near set[M]\/\/transactions on computational science XXV. Springer, Berlin, Heidelberg, pp 90\u2013111"},{"key":"4406_CR10","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1016\/j.infrared.2014.07.019","volume":"67","author":"W Kong","year":"2014","unstructured":"Kong W, Lei Y, Zhao H (2014) Adaptive fusion method of visible light and infrared images based on non-subsampled shearlet transform and fast non-negative matrix factorization. Infrared Phys Technol 67:161\u2013172","journal-title":"Infrared Phys Technol"},{"key":"4406_CR11","doi-asserted-by":"crossref","unstructured":"Li S, Kang X, Fang L, Hu J, Yin H (2017) \u201cPixel-level image fusion: A survey of the state of the art,\u201d Information Fusion, vol. 33","DOI":"10.1016\/j.inffus.2016.05.004"},{"issue":"5","key":"4406_CR12","doi-asserted-by":"publisher","first-page":"1193","DOI":"10.1007\/s11760-013-0556-9","volume":"9","author":"S Kumar","year":"2015","unstructured":"Kumar S, K. B. (2015) Image fusion based on pixel significance using cross bilateral filter. Sig Image Video Proc 9(5):1193\u20131204","journal-title":"Sig Image Video Proc"},{"key":"4406_CR13","unstructured":"Kumar BKS (2013) \u201cMultifocus and multispectral image fusion based on pixel significance using discrete cosine harmonic wavelet transform,\u201d Signal,Image&Video Processing"},{"key":"4406_CR14","doi-asserted-by":"publisher","first-page":"6989","DOI":"10.1109\/ACCESS.2017.2696119","volume":"5","author":"Y Yang","year":"2017","unstructured":"Yang Y, Yang M, Huang S, Que Y, Ding M, Sun J (2017) Multifocus image fusion based on extreme learning machine and human visual system. IEEE Access 5:6989\u20137000","journal-title":"IEEE Access"},{"key":"4406_CR15","unstructured":"Dong Q, Zhou Z, Bo W, L Sun, \"Weighted gradient-based fusion for multi-spectral image with steering kernel and structure tensor.\""},{"key":"4406_CR16","unstructured":"Wei H, Zhongliang, Jing (2007) \u201cEvaluation of focus measures in multi-focus image fusion,\u201d Pattern Recognition Letters"},{"issue":"7","key":"4406_CR17","doi-asserted-by":"publisher","first-page":"2864","DOI":"10.1109\/TIP.2013.2244222","volume":"22","author":"S Li","year":"2013","unstructured":"Li S, Kang X, Hu J (2013) Image fusion with guided filtering. IEEE Trans Image Process 22(7):2864\u20132875","journal-title":"IEEE Trans Image Process"},{"issue":"2","key":"4406_CR18","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1016\/j.inffus.2005.09.006","volume":"8","author":"JJ Lewis","year":"2007","unstructured":"Lewis JJ, O\u2019Callaghan R, Nikolov SG, Bull DR, Canagarajah N (2007) Pixel- and region-based image fusion with complex wavelets. Inform Fusion 8(2):119\u2013130","journal-title":"Inform Fusion"},{"key":"4406_CR19","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1016\/j.inffus.2022.03.007","volume":"83","author":"L Tang","year":"2022","unstructured":"Tang L, Yuan J, Zhang H, Jiang X, Ma J (2022) PIAFusion: a progressive infrared and visible image fusion network based on illumination aware. Inform Fusion 83:79\u201392","journal-title":"Inform Fusion"},{"key":"4406_CR20","doi-asserted-by":"publisher","first-page":"108590","DOI":"10.1016\/j.sigpro.2022.108590","volume":"198","author":"J Wang","year":"2022","unstructured":"Wang J, Qu H, Wei Y, Xie M, Xu J, Zhang Z (2022) Multi-focus image fusion based on quad-tree decomposition and edge-weighted focus measure. Signal Process 198:108590","journal-title":"Signal Process"},{"key":"4406_CR21","doi-asserted-by":"publisher","first-page":"204","DOI":"10.1016\/j.neucom.2021.10.115","volume":"470","author":"B Ma","year":"2022","unstructured":"Ma B, Yin X, Wu D, Shen H, Ban X, Wang Y (2022) End-to-end learning for simultaneously generating decision map and multi-focus image fusion result. Neurocomputing 470:204\u2013216","journal-title":"Neurocomputing"},{"key":"4406_CR22","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1016\/j.inffus.2016.12.001","volume":"36","author":"Y Liu","year":"2017","unstructured":"Liu Y, Chen X, Peng H, Wang Z (2017) Multi-focus image fusion with a deep convolutional neural network[J]. Inform Fusion 36:191\u2013207","journal-title":"Inform Fusion"},{"key":"4406_CR23","doi-asserted-by":"crossref","unstructured":"Tang H, Xiao B, Li W, Wang G (2018) \u201cPixel convolutional neural network for multi-focus image fusion,\u201d INFORMATION SCIENCES, pp. S0020025517311647","DOI":"10.1016\/j.ins.2017.12.043"},{"issue":"11","key":"4406_CR24","doi-asserted-by":"publisher","first-page":"5793","DOI":"10.1007\/s00521-020-05358-9","volume":"33","author":"B Ma","year":"2021","unstructured":"Ma B, Zhu Y, Yin X, Ban X, Huang H, Mukeshimana M (2021) Sesf-fuse: an unsupervised deep model for multi-focus image fusion[J]. Neural Comput & Applic 33(11):5793\u20135804","journal-title":"Neural Comput & Applic"},{"key":"4406_CR25","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1016\/j.inffus.2019.07.011","volume":"54","author":"ZA Yu","year":"2020","unstructured":"Yu ZA, Yu LB, Peng SC, Han YA, Xz D, Li ZA (2020) IFCNN: a general image fusion framework based on convolutional neural network. Inform Fusion 54:99\u2013118","journal-title":"Inform Fusion"},{"key":"4406_CR26","doi-asserted-by":"crossref","unstructured":"Wu J, Huang Z, Thoma J, et al. (2018) Wasserstein divergence for gans[C]\/\/Proceedings of the European conference on computer vision (ECCV): 653\u2013668","DOI":"10.1007\/978-3-030-01228-1_40"},{"issue":"6","key":"4406_CR27","doi-asserted-by":"publisher","first-page":"1540","DOI":"10.1016\/j.optcom.2010.11.048","volume":"284","author":"QG Miao","year":"2011","unstructured":"Miao QG, Cheng S, Xu PF, Yang M, Shi YB (2011) A novel algorithm of image fusion using shearlets. Opt Commun 284(6):1540\u20131547","journal-title":"Opt Commun"},{"issue":"2","key":"4406_CR28","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1109\/TIP.2004.823821","volume":"13","author":"VS Petrovic","year":"2004","unstructured":"Petrovic VS, Xydeas CS (2004) Gradient-based multiresolution image fusion. IEEE Trans Image Proc 13(2):228\u2013237","journal-title":"IEEE Trans Image Proc"},{"issue":"7","key":"4406_CR29","doi-asserted-by":"publisher","first-page":"1334","DOI":"10.1016\/j.sigpro.2009.01.012","volume":"89","author":"Q Zhang","year":"2009","unstructured":"Zhang Q, Guo B-l (2009) Multifocus image fusion using the nonsubsampled contourlet transform. Signal Process 89(7):1334\u20131346","journal-title":"Signal Process"},{"issue":"4","key":"4406_CR30","first-page":"28","volume":"31","author":"J Peter","year":"2006","unstructured":"Peter J (2006) The Laplacian pyramid as a compact image code. Fund Pap Wavelet Theory 31(4):28","journal-title":"Fund Pap Wavelet Theory"},{"issue":"2","key":"4406_CR31","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1016\/j.inffus.2006.02.001","volume":"8","author":"F Nencini","year":"2007","unstructured":"Nencini F, Garzelli A, Baronti S, Alparone L (2007) Remote sensing image fusion using the curvelet transform. Information Fus 8(2):143\u2013156","journal-title":"Information Fus"},{"issue":"4","key":"4406_CR32","doi-asserted-by":"publisher","first-page":"884","DOI":"10.1109\/TIM.2009.2026612","volume":"59","author":"B Yang","year":"2009","unstructured":"Yang B, Li S (2009) Multifocus image fusion and restoration with sparse representation. IEEE Trans Instrum Meas 59(4):884\u2013892","journal-title":"IEEE Trans Instrum Meas"},{"issue":"5","key":"4406_CR33","doi-asserted-by":"publisher","first-page":"347","DOI":"10.1049\/iet-ipr.2014.0311","volume":"9","author":"Y Liu","year":"2014","unstructured":"Liu Y, Wang Z (2014) Simultaneous image fusion and denoising with adaptive sparse representation. Image Processing Iet 9(5):347\u2013357","journal-title":"Image Processing Iet"},{"issue":"2","key":"4406_CR34","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1016\/j.inffus.2011.07.001","volume":"14","author":"S Li","year":"2013","unstructured":"Li S, Kang X, Hu J, Yang B (2013) Image matting for fusion of multi-focus images in dynamic scenes. Inform Fusion 14(2):147\u2013162","journal-title":"Inform Fusion"},{"issue":"12","key":"4406_CR35","doi-asserted-by":"publisher","first-page":"8861","DOI":"10.1016\/j.eswa.2010.06.011","volume":"37","author":"V Aslantas","year":"2010","unstructured":"Aslantas V, Kurban R (2010) Fusion of multi-focus images using differential evolution algorithm. Expert Syst Appl 37(12):8861\u20138870","journal-title":"Expert Syst Appl"},{"key":"4406_CR36","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1016\/j.inffus.2014.05.004","volume":"23","author":"Y Liu","year":"2015","unstructured":"Liu Y, Liu S, Wang Z (2015) Multi-focus image fusion with dense SIFT. Inform Fusion 23:139\u2013155","journal-title":"Inform Fusion"},{"key":"4406_CR37","unstructured":"Li H, Wu X-J, Durrani T (2018) \u201cMulti-focus noisy image fusion using low-rank representation,\u201d arXiv preprint arXiv:1804.09325"},{"issue":"99","key":"4406_CR38","first-page":"1","volume":"PP","author":"J Li","year":"2020","unstructured":"Li J, Guo X, Lu G, Zhang B, Zhang D (2020) DRPL: Deep Regression Pair Learning for Multi-Focus Image Fusion. IEEE Trans Image Process PP(99):1\u20131","journal-title":"IEEE Trans Image Process"},{"issue":"7","key":"4406_CR39","first-page":"12797","volume":"34","author":"H Zhang","year":"2020","unstructured":"Zhang H, Xu H, Xiao Y, Guo X, Ma J (2020) Rethinking the image fusion: a fast unified image fusion network based on proportional maintenance of gradient and intensity. Proc AAAI ConfArtificial Intel 34(7):12797\u201312804","journal-title":"Proc AAAI ConfArtificial Intel"},{"key":"4406_CR40","volume-title":"Deep learning-based multi-focus image fusion: a survey and a comparative study","author":"X Zhang","year":"2021","unstructured":"Zhang X (2021) Deep learning-based multi-focus image fusion: a survey and a comparative study. IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"4406_CR41","doi-asserted-by":"crossref","unstructured":"Du C, Gao S (2017) Image segmentation-based multi-focus image fusion through multi-scale convolutional neural network. IEEE Access:1\u20131","DOI":"10.1109\/ACCESS.2017.2735019"},{"issue":"1","key":"4406_CR42","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1007\/s10489-021-02358-7","volume":"52","author":"L Jiang","year":"2022","unstructured":"Jiang L, Fan H, Li J (2022) A multi-focus image fusion method based on attention mechanism and supervised learning. Appl Intell 52(1):339\u2013357","journal-title":"Appl Intell"},{"issue":"8","key":"4406_CR43","doi-asserted-by":"publisher","first-page":"5953","DOI":"10.1007\/s10489-020-02121-4","volume":"51","author":"J Guo","year":"2021","unstructured":"Guo J, Pang Z, Bai M, Xie P, Chen Y (2021) Dual generative adversarial active learning. Appl Intell 51(8):5953\u20135964","journal-title":"Appl Intell"},{"issue":"4","key":"4406_CR44","doi-asserted-by":"publisher","first-page":"1947","DOI":"10.1007\/s10489-020-01931-w","volume":"51","author":"X Zong","year":"2021","unstructured":"Zong X, Chen Z, Wang D (2021) Local-CycleGAN: a general end-to-end network for visual enhancement in complex deep-water environment. Appl Intell 51(4):1947\u20131958","journal-title":"Appl Intell"},{"key":"4406_CR45","doi-asserted-by":"crossref","unstructured":"Huang J, Ding W, Lv J, Yang J, Dong H, Del Ser J, Xia J, Ren T, Wong ST, Yang G (2022) Edge-enhanced dual discriminator generative adversarial network for fast MRI with parallel imaging using multi-view information. Appl Intell:1\u201318","DOI":"10.1007\/s10489-021-03092-w"},{"key":"4406_CR46","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1016\/j.inffus.2020.08.022","volume":"66","author":"H Zhang","year":"2021","unstructured":"Zhang H, Le Z, Shao Z, Xu H, Ma J (2021) MFF-GAN: an unsupervised generative adversarial network with adaptive and gradient joint constraints for multi-focus image fusion. Inform Fusion 66:40\u201353","journal-title":"Inform Fusion"},{"key":"4406_CR47","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.inffus.2018.09.004","volume":"48","author":"J Ma","year":"2019","unstructured":"Ma J, Yu W, Liang P, Li C, Jiang J (2019) FusionGAN: a generative adversarial network for infrared and visible image fusion. Inform Fusion 48:11\u201326","journal-title":"Inform Fusion"},{"key":"4406_CR48","doi-asserted-by":"publisher","first-page":"4980","DOI":"10.1109\/TIP.2020.2977573","volume":"29","author":"J Ma","year":"2020","unstructured":"Ma J, Xu H, Jiang J, Mei X, Zhang X-P (2020) DDcGAN: A dual-discriminator conditional generative adversarial network for multi-resolution image fusion. IEEE Trans Image Process 29:4980\u20134995","journal-title":"IEEE Trans Image Process"},{"key":"4406_CR49","first-page":"2672","volume":"3","author":"IJ Goodfellow","year":"2014","unstructured":"Goodfellow IJ, Pouget-Abadie J, Mirza M, Xu B, Warde-Farley D, Ozair S, Courville A, Bengio Y (2014) Generative adversarial networks. Adv Neural Inf Proces Syst 3:2672\u20132680","journal-title":"Adv Neural Inf Proces Syst"},{"key":"4406_CR50","unstructured":"X. Mao, Q. Li, H. Xie, R. Y. Lau, Z. Wang, and S. Paul Smolley, \"Least squares generative adversarial networks.\" pp. 2794\u20132802"},{"key":"4406_CR51","doi-asserted-by":"crossref","unstructured":"X. Li, X. Sun, Y. Meng, J. Liang, F. Wu, and J. Li, \u201cDice loss for data-imbalanced NLP tasks,\u201d arXiv preprint arXiv:1911.02855, 2019","DOI":"10.18653\/v1\/2020.acl-main.45"},{"key":"4406_CR52","doi-asserted-by":"crossref","unstructured":"Mao X, Li Q, Xie H, et al. (2017) Least squares generative adversarial networks[C]\/\/Proceedings of the IEEE international conference on computer vision: 2794\u20132802","DOI":"10.1109\/ICCV.2017.304"},{"key":"4406_CR53","doi-asserted-by":"crossref","unstructured":"Marszalek M, Schmid C (2007) \"Accurate object localization with shape masks.\" pp. 1\u20138","DOI":"10.1109\/CVPR.2007.383085"},{"key":"4406_CR54","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1016\/j.inffus.2014.10.004","volume":"25","author":"M Nejati","year":"2015","unstructured":"Nejati M, Samavi S, Shirani S (2015) Multi-focus image fusion using dictionary-based sparse representation. Inform Fusion 25:72\u201384","journal-title":"Inform Fusion"},{"issue":"6","key":"4406_CR55","doi-asserted-by":"publisher","first-page":"1125","DOI":"10.1007\/s11760-012-0361-x","volume":"7","author":"B Shreyamsha Kumar","year":"2013","unstructured":"Shreyamsha Kumar B (2013) Multifocus and multispectral image fusion based on pixel significance using discrete cosine harmonic wavelet transform. SIViP 7(6):1125\u20131143","journal-title":"SIViP"},{"issue":"1","key":"4406_CR56","doi-asserted-by":"publisher","first-page":"502","DOI":"10.1109\/TPAMI.2020.3012548","volume":"44","author":"H Xu","year":"2020","unstructured":"Xu H, Ma J, Jiang J, Guo X, Ling H (2020) U2Fusion: a unified unsupervised image fusion network. IEEE Trans Pattern Anal Mach Intell 44(1):502\u2013518","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"4406_CR57","unstructured":"Wang P, Chen P, Yuan Y, Liu D, Huang Z, Hou X, Cottrell G \"Understanding convolution for semantic segmentation.\" pp. 1451\u20131460"},{"key":"4406_CR58","unstructured":"Wang L, Lu H, Wang Y, Feng M, Wang D, Yin B, Ruan X, \"Learning to detect salient objects with image-level supervision.\" pp. 136\u2013145"},{"key":"4406_CR59","volume-title":"A methodforstochasticoptimization","author":"A KingaD","year":"2015","unstructured":"KingaD A (2015) A methodforstochasticoptimization. Anon. InternationalConferenceon Learning Representations. SanDego, ICLR"},{"issue":"1","key":"4406_CR60","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1109\/18.61115","volume":"37","author":"J Lin","year":"1991","unstructured":"Lin J (1991) Divergence measures based on the Shannon entropy. IEEE Trans Inf Theory 37(1):145\u2013151","journal-title":"IEEE Trans Inf Theory"},{"issue":"2","key":"4406_CR61","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1007\/s11707-015-0514-7","volume":"10","author":"S Tang","year":"2016","unstructured":"Tang S, Shen C, Zhang G (2016) Adaptive regularized scheme for remote sensing image fusion. Front Earth ence 10(2):236\u2013244","journal-title":"Front Earth ence"},{"key":"4406_CR62","doi-asserted-by":"crossref","unstructured":"Zhang L, Zhang L, Mou X, Zhang D, \"A comprehensive evaluation of full reference image quality assessment algorithms.\" pp. 1477\u20131480","DOI":"10.1109\/ICIP.2012.6467150"},{"issue":"18","key":"4406_CR63","doi-asserted-by":"publisher","first-page":"1066","DOI":"10.1049\/el:20081754","volume":"44","author":"M Hossny","year":"2008","unstructured":"Hossny M, Nahavandi S, Creighton D (2008) Comments on 'Information measure for performance of image fusion'. Electron Lett 44(18):1066\u20131067","journal-title":"Electron Lett"},{"key":"4406_CR64","volume-title":"IFT-SLIC: gera\u00e7\u00e3o de superpixels com base em agrupamento iterativo linear simples e transformada imagem-floresta","author":"EB Alexandre","year":"2017","unstructured":"Alexandre EB (2017) IFT-SLIC: gera\u00e7\u00e3o de superpixels com base em agrupamento iterativo linear simples e transformada imagem-floresta. Universidade de S\u00e3o Paulo"},{"key":"4406_CR65","doi-asserted-by":"crossref","unstructured":"Marszalek M, Schmid C (2007) Accurate object localization with shape masks[C]\/\/2007 IEEE conference on computer vision and pattern recognition. IEEE: 1\u20138","DOI":"10.1109\/CVPR.2007.383085"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-022-04406-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10489-022-04406-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-022-04406-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,11]],"date-time":"2024-10-11T19:07:47Z","timestamp":1728673667000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10489-022-04406-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,6]]},"references-count":65,"journal-issue":{"issue":"14","published-print":{"date-parts":[[2023,7]]}},"alternative-id":["4406"],"URL":"https:\/\/doi.org\/10.1007\/s10489-022-04406-2","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1,6]]},"assertion":[{"value":"13 December 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 January 2023","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}