{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T05:17:58Z","timestamp":1773119878404,"version":"3.50.1"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2020,7,6]],"date-time":"2020-07-06T00:00:00Z","timestamp":1593993600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,7,6]],"date-time":"2020-07-06T00:00:00Z","timestamp":1593993600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41701447"],"award-info":[{"award-number":["41701447"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Fundamental Research Funds for Zhejiang Provincial Universities and Research Institutes","award":["2019J00003"],"award-info":[{"award-number":["2019J00003"]}]},{"name":"Training Program of Excellent Master Thesis of Zhejiang Ocean University"},{"DOI":"10.13039\/501100019051","name":"State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University","doi-asserted-by":"crossref","award":["2018-KF-02"],"award-info":[{"award-number":["2018-KF-02"]}],"id":[{"id":"10.13039\/501100019051","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Earth Sci Inform"],"published-print":{"date-parts":[[2020,12]]},"DOI":"10.1007\/s12145-020-00472-7","type":"journal-article","created":{"date-parts":[[2020,7,6]],"date-time":"2020-07-06T05:21:42Z","timestamp":1594012902000},"page":"1005-1013","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["A pixel-level fusion method for multi-source optical remote sensing image combining the principal component analysis and curvelet transform"],"prefix":"10.1007","volume":"13","author":[{"given":"Chao","family":"Chen","sequence":"first","affiliation":[]},{"given":"Xinyue","family":"He","sequence":"additional","affiliation":[]},{"given":"Biyun","family":"Guo","sequence":"additional","affiliation":[]},{"given":"Xin","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Yanli","family":"Chu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,7,6]]},"reference":[{"key":"472_CR1","doi-asserted-by":"publisher","first-page":"042609","DOI":"10.1117\/1.JRS.11.042609","volume":"11","author":"JE Ball","year":"2017","unstructured":"Ball JE, Anderson DT, Chan CS (2017) A comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community. J Appl Remote Sens 11:042609","journal-title":"J Appl Remote Sens"},{"key":"472_CR2","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1007\/s12145-011-0085-4","volume":"4","author":"ES Bradley","year":"2011","unstructured":"Bradley ES, Roberts DA, Dennison PE, Green RO, Eastwood M, Lundeen SR, McCubbin IB, Leifer I (2011) Google Earth and Google Fusion Tables in support of time-critical collaboration: Mapping the deepwater horizon oil spill with the AVIRIS airborne spectrometer. Earth Sci Inf 4:169\u2013179","journal-title":"Earth Sci Inf"},{"key":"472_CR3","doi-asserted-by":"publisher","first-page":"4775","DOI":"10.1109\/TGRS.2017.2700322","volume":"55","author":"S Chaib","year":"2017","unstructured":"Chaib S, Liu H, Gu Y, Yao H (2017) Deep feature fusion for VHR remote sensing scene classification. IEEE Trans Geosci Remote Sens 55:4775\u20134784","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"472_CR4","doi-asserted-by":"publisher","first-page":"3664","DOI":"10.1080\/01431161.2014.915437","volume":"35","author":"C Chen","year":"2014","unstructured":"Chen C, Qin Q, Zhang N, Li J, Chen L, Wang J, Qin X, Yang X (2014) Extraction of bridges over water from high-resolution optical remote-sensing images based on mathematical morphology. Int J Remote Sens 35:3664\u20133682","journal-title":"Int J Remote Sens"},{"key":"472_CR5","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1109\/MGRS.2018.2852804","volume":"6","author":"C Chen","year":"2018","unstructured":"Chen C, Fu J, Gai Y, Li J, Chen L, Mantravadi VS, Tan A (2018) Damaged bridges over water: using high-spatial-resolution remote-sensing images for recognition, detection, and assessment. IEEE Geosci Remote Sens Mag 6:69\u201385","journal-title":"IEEE Geosci Remote Sens Mag"},{"key":"472_CR6","doi-asserted-by":"publisher","first-page":"1999","DOI":"10.1007\/s12524-019-01036-z","volume":"47","author":"C Chen","year":"2019","unstructured":"Chen C, Fu J, Lu N, Chu Y, Hu J, Guo B, Zhao X (2019a) Knowledge-based identification and damage detection of bridges spanning water via high-spatial-resolution optical remotely sensed imagery. J Indian Soc Remote Sens 47:1999\u20132008","journal-title":"J Indian Soc Remote Sens"},{"key":"472_CR7","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1016\/j.ecss.2018.10.021","volume":"217","author":"C Chen","year":"2019","unstructured":"Chen C, Fu J, Zhang S, Zhao X (2019b) Coastline information extraction based on the tasseled cap transformation of Landsat-8 OLI images. Estuar Coast Shelf Sci 217:281\u2013291","journal-title":"Estuar Coast Shelf Sci"},{"key":"472_CR8","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1016\/j.isprsjprs.2015.02.015","volume":"104","author":"J Cheng","year":"2015","unstructured":"Cheng J, Liu H, Liu T, Wang F, Li H (2015) Remote sensing image fusion via wavelet transform and sparse representation. ISPRS J Photogramm Remote Sens 104:158\u2013173","journal-title":"ISPRS J Photogramm Remote Sens"},{"key":"472_CR9","doi-asserted-by":"publisher","first-page":"#045002","DOI":"10.1117\/1.JRS.12.045002","volume":"12","author":"LG Denaro","year":"2018","unstructured":"Denaro LG, Lin B, Syariz MA, Jaelani LM, Lin C (2018) Pseudoinvariant feature selection for cross-sensor optical satellite images. J Appl Remote Sens 12:#045002","journal-title":"J Appl Remote Sens"},{"key":"472_CR10","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1016\/j.inffus.2018.11.014","volume":"52","author":"LJ Deng","year":"2018","unstructured":"Deng LJ, Feng M, Tai XC (2018) The fusion of panchromatic and multispectral remote sensing images via tensor-based sparse modeling and hyper-Laplacian prior. Inf Fusion 52:76\u201389","journal-title":"Inf Fusion"},{"key":"472_CR11","doi-asserted-by":"publisher","first-page":"268","DOI":"10.1016\/j.neucom.2015.01.050","volume":"159","author":"L Dong","year":"2015","unstructured":"Dong L, Yang Q, Wu H, Xiao H, Xu M (2015) High quality multi-spectral and panchromatic image fusion technologies based on Curvelet transform. Neurocomputing 159:268\u2013274","journal-title":"Neurocomputing"},{"key":"472_CR12","doi-asserted-by":"publisher","first-page":"100626","DOI":"10.1016\/j.rsma.2019.100626","volume":"28","author":"J Fu","year":"2019","unstructured":"Fu J, Chen C, Chu Y (2019) Spatial-temporal variations of oceanographic parameters in the Zhoushan sea area of t he East China Sea based on remote sensing datasets. Reg Stud Mar Sci 28:100626","journal-title":"Reg Stud Mar Sci"},{"key":"472_CR13","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1016\/j.isprsjprs.2007.05.009","volume":"62","author":"H Ghassemian","year":"2007","unstructured":"Ghassemian H (2007) Wavelet based image fusion techniques \u2013 An introduction, review and comparison. ISPRS J Photogramm Remote Sens 62:249\u2013263","journal-title":"ISPRS J Photogramm Remote Sens"},{"key":"472_CR14","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1016\/j.inffus.2016.03.003","volume":"32","author":"H Ghassemian","year":"2016","unstructured":"Ghassemian H (2016) A review of remote sensing image fusion methods. Inf Fusion 32:75\u201389","journal-title":"Inf Fusion"},{"key":"472_CR15","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1016\/j.isprsjprs.2019.04.001","volume":"152","author":"M Ghassemian","year":"2019","unstructured":"Ghassemian M, Liu Y, Yuen P, Behera A (2019) Remote sensing image fusion via compressive sensing. ISPRS J Photogramm Remote Sens 152:34\u201348","journal-title":"ISPRS J Photogramm Remote Sens"},{"key":"472_CR16","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1016\/j.inffus.2020.01.003","volume":"59","author":"SC Kulkarni","year":"2020","unstructured":"Kulkarni SC, Rege PP (2020) Pixel level fusion techniques for SAR and optical images: A review. Inf Fusion 59:13\u201329","journal-title":"Inf Fusion"},{"key":"472_CR17","first-page":"340","volume":"15","author":"PSJ Kumar","year":"2018","unstructured":"Kumar PSJ, Huan TL, Li X, Yuan Y (2018) Panchromatic and multispectral remote sensing image fusion using machine learning for classifying bucolic and farming region. Int J Comput Sci Eng 15:340\u2013340","journal-title":"Int J Comput Sci Eng"},{"key":"472_CR18","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1016\/j.inffus.2016.05.004","volume":"33","author":"S Li","year":"2017","unstructured":"Li S, Kang X, Fang L, Hu J, Yin H (2017) Pixel-level image fusion: A survey of the state of the art. Inf Fusion 33:100\u2013112","journal-title":"Inf Fusion"},{"key":"472_CR19","first-page":"#035018","volume":"12","author":"W Li","year":"2018","unstructured":"Li W, Hu Q, Zhang L, Du J (2018a) Pan-sharpening with a spatial-enhanced variational model. J Appl Remote Sens 12:#035018","journal-title":"J Appl Remote Sens"},{"key":"472_CR20","doi-asserted-by":"publisher","first-page":"371","DOI":"10.1016\/j.neucom.2018.07.030","volume":"315","author":"Y Li","year":"2018","unstructured":"Li Y, Qu J, Dong W, Zheng Y (2018b) Hyperspectral pansharpening via improved PCA approach and optimal weighted fusion strategy. Neurocomputing 315:371\u2013380","journal-title":"Neurocomputing"},{"key":"472_CR21","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1016\/j.isprsjprs.2014.12.018","volume":"105","author":"J Liu","year":"2015","unstructured":"Liu J, Huang J, Liu S, Li H, Zhou Q, Liu J (2015) Human visual system consistent quality assessment for remote sensing image fusion. ISPRS J Photogramm Remote Sens 105:79\u201390","journal-title":"ISPRS J Photogramm Remote Sens"},{"key":"472_CR22","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1109\/MGRS.2015.2440094","volume":"3","author":"L Loncan","year":"2015","unstructured":"Loncan L, de Almeida LB, Bioucas-Dias JM, Briottet X, Chanussot J, Dobigeon N, Fabre S, Liao W, Licciardi GA, Simoes M, Tourneret JY, Veganzones MA, Vivone G, Wei Q, Yokoya N (2015) Hyperspectral pansharpening: A review. IEEE Geosci Remote Sens Mag 3:27\u201346","journal-title":"IEEE Geosci Remote Sens Mag"},{"key":"472_CR23","doi-asserted-by":"publisher","first-page":"118","DOI":"10.1109\/MSP.2009.935453","volume":"27","author":"J Ma","year":"2010","unstructured":"Ma J, Plonka G (2010) The curvelet transform. IEEE Signal Process Mag 27:118\u2013133","journal-title":"IEEE Signal Process Mag"},{"key":"472_CR24","doi-asserted-by":"publisher","first-page":"166","DOI":"10.1016\/j.isprsjprs.2019.04.015","volume":"152","author":"L Ma","year":"2019","unstructured":"Ma L, Liu Y, Zhang X, Ye X, Yin G, Johnson BA (2019) Deep learning in remote sensing applications: A meta-analysis and review. ISPRS J Photogramm Remote Sens 152:166\u2013177","journal-title":"ISPRS J Photogramm Remote Sens"},{"key":"472_CR25","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1109\/MGRS.2017.2688704","volume":"5","author":"P Mathieu","year":"2017","unstructured":"Mathieu P, Borgeaud M, Desnos Y, Rast M, Brockmann C, See L, Kapur R, Machecha M, Benz U, Fritz S (2017) The ESA\u2019s earth observation open science program. IEEE Geosci Remote Sens Mag 5:86\u201396","journal-title":"IEEE Geosci Remote Sens Mag"},{"key":"472_CR26","doi-asserted-by":"publisher","first-page":"1585","DOI":"10.1109\/JPROC.2015.2462751","volume":"103","author":"MD Mura","year":"2015","unstructured":"Mura MD, Prasad S, Pacifici F, Gamba P, Chanussot J, Benediktsson JA (2015) Challenges and opportunities of multimodality and data fusion in remote sensing. Proc IEEE 103:1585\u20131601","journal-title":"Proc IEEE"},{"key":"472_CR27","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. Inf Fusion 8:143\u2013156","journal-title":"Inf Fusion"},{"key":"472_CR28","doi-asserted-by":"publisher","first-page":"553","DOI":"10.1007\/s12145-019-00400-4","volume":"12","author":"IR Orimoloye","year":"2019","unstructured":"Orimoloye IR, Mazinyo SP, Kalumba AM, Nel W, Adigum AI, Ololade OO (2019) Wetland shift monitoring using remote sensing and GIS techniques: landscape dynamics and its implications on Isimangaliso Wetland Park, South Africa. Earth Sci Inf 12:553\u2013563","journal-title":"Earth Sci Inf"},{"key":"472_CR29","first-page":"22","volume":"120","author":"VR Pandit","year":"2015","unstructured":"Pandit VR, Bhiwani RJ (2015) Image fusion in remote sensing application: A review. Int J Comput Appl 120:22\u201332","journal-title":"Int J Comput Appl"},{"key":"472_CR30","doi-asserted-by":"publisher","first-page":"823","DOI":"10.1080\/014311698215748","volume":"19","author":"C Pohl","year":"1998","unstructured":"Pohl C, Genderen JLV (1998) Review article Multisensor image fusion in remote sensing: Concepts, methods and applications. Int J Remote Sens 19:823\u2013854","journal-title":"Int J Remote Sens"},{"key":"472_CR31","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1016\/j.ecolmodel.2016.06.003","volume":"337","author":"M Pratheepa","year":"2016","unstructured":"Pratheepa M, Verghese A, Bheemanna H (2016) Shannon information theory a useful tool for detecting significant abiotic factors influencing the population dynamics of Helicoverpa armigera (H\u00fcbner) on cotton crop. Ecol Model 337:25\u201328","journal-title":"Ecol Model"},{"key":"472_CR32","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1109\/MGRS.2016.2561021","volume":"4","author":"M Schmitt","year":"2016","unstructured":"Schmitt M, Zhu X (2016) Data fusion and remote sensing: An ever-growing relationship. IEEE Geosci Remote Sens Mag 4:6\u201323","journal-title":"IEEE Geosci Remote Sens Mag"},{"key":"472_CR33","doi-asserted-by":"publisher","first-page":"1656","DOI":"10.1109\/JSTARS.2018.2805923","volume":"11","author":"Z Shao","year":"2018","unstructured":"Shao Z, Cai J (2018) Remote sensing image fusion with deep convolutional neural network. IEEE J Sel Top Appl Earth Obs Remote Sens 11:1656\u20131669","journal-title":"IEEE J Sel Top Appl Earth Obs Remote Sens"},{"key":"472_CR34","doi-asserted-by":"publisher","first-page":"1672","DOI":"10.1016\/j.ijleo.2015.04.057","volume":"126","author":"S Sulochana","year":"2015","unstructured":"Sulochana S, Vidhya R, Manonmani R (2015) Optical image fusion using support value transform (SVT) and curvelets. Optik 126:1672\u20131675","journal-title":"Optik"},{"key":"472_CR35","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1007\/s12145-019-00391-2","volume":"12","author":"YA Willie","year":"2019","unstructured":"Willie YA, Pillay R, Zhou L, Orimoloye IR (2019) Monitoring spatial pattern of land surface thermal characteristics and urban growth: A case study of King Williams using remote sensing and GIS. Earth Sci Inf 12:447\u2013464","journal-title":"Earth Sci Inf"},{"key":"472_CR36","doi-asserted-by":"publisher","first-page":"687","DOI":"10.1007\/s12524-017-0736-0","volume":"46","author":"Z Wu","year":"2018","unstructured":"Wu Z, Huang Y, Zhang K (2018) Remote sensing image fusion method based on PCA and curvelet transform. J Indian Soc Remote Sens 46:687\u2013695","journal-title":"J Indian Soc Remote Sens"},{"key":"472_CR37","doi-asserted-by":"publisher","first-page":"734","DOI":"10.1109\/LGRS.2018.2810219","volume":"15","author":"Y Yang","year":"2018","unstructured":"Yang Y, Wu L, Huang S, Sun J, Wan W, Wu J (2018a) Compensation details-based injection model for remote sensing image fusion. IEEE Geosci Remote Sens Lett 15:734\u2013738","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"472_CR38","doi-asserted-by":"publisher","first-page":"6849","DOI":"10.1109\/ACCESS.2018.2791574","volume":"6","author":"Y Yang","year":"2018","unstructured":"Yang Y, Wu L, Huang S, Wan W, Yue Q (2018b) Remote sensing image fusion based on adaptively weighted joint detail injection. IEEE Access 6:6849\u20136864","journal-title":"IEEE Access"},{"key":"472_CR39","doi-asserted-by":"publisher","first-page":"107434","DOI":"10.1016\/j.sigpro.2019.107434","volume":"170","author":"M Zhang","year":"2020","unstructured":"Zhang M, Li S, Yu F, Tian X (2020) Image fusion employing adaptive spectral-spatial gradient sparse regularization in UAV remote sensing. Signal Proc 170:107434","journal-title":"Signal Proc"},{"key":"472_CR40","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1109\/MGRS.2017.2762307","volume":"5","author":"X Zhu","year":"2017","unstructured":"Zhu X, Tuia D, Mou L, Xia G, Zhang L, Xu F, Fraundorfer F (2017) Deep learning in remote sensing: A comprehensive review and list of resources. IEEE Geosci Remote Sens Mag 5:8\u201336","journal-title":"IEEE Geosci Remote Sens Mag"}],"container-title":["Earth Science Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12145-020-00472-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12145-020-00472-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12145-020-00472-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,7,6]],"date-time":"2021-07-06T00:05:34Z","timestamp":1625529934000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12145-020-00472-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,6]]},"references-count":40,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2020,12]]}},"alternative-id":["472"],"URL":"https:\/\/doi.org\/10.1007\/s12145-020-00472-7","relation":{},"ISSN":["1865-0473","1865-0481"],"issn-type":[{"value":"1865-0473","type":"print"},{"value":"1865-0481","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,7,6]]},"assertion":[{"value":"3 February 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 April 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 May 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 July 2020","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}