{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T19:59:12Z","timestamp":1771703952250,"version":"3.50.1"},"reference-count":71,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"publisher","award":["RGPIN-2020-05159"],"award-info":[{"award-number":["RGPIN-2020-05159"]}],"id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tgrs.2024.3509718","type":"journal-article","created":{"date-parts":[[2024,12,16]],"date-time":"2024-12-16T19:19:10Z","timestamp":1734376750000},"page":"1-12","source":"Crossref","is-referenced-by-count":8,"title":["Hyperspectral Image Compression Using Sampling and Implicit Neural Representations"],"prefix":"10.1109","volume":"63","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4554-5800","authenticated-orcid":false,"given":"Shima","family":"Rezasoltani","sequence":"first","affiliation":[{"name":"Faculty of Science, University of Ontario Institute of Technology, Oshawa, ON, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8992-3607","authenticated-orcid":false,"given":"Faisal Z.","family":"Qureshi","sequence":"additional","affiliation":[{"name":"Faculty of Science, University of Ontario Institute of Technology, Oshawa, ON, Canada"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1364\/JOSA.61.000001"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1126\/science.228.4704.1147"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2017.2762087"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.4314\/wsa.v33i2.49049"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s11273-009-9169-z"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1179\/sic.2006.51.Supplement-1.3"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s00339-011-6689-1"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1117\/12.502589"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1117\/12.968673"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1117\/12.918555"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1111\/j.1556-4029.2012.02171.x"},{"key":"ref12","first-page":"25","article-title":"Quantitative hyperspectral imaging of historical documents: Technique and applications","volume-title":"Proc. 9th Int. Conf. Non-Destructive Test. Art","author":"Padoan"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.forsciint.2012.09.012"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.tifs.2007.06.001"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1080\/10408398.2011.651542"},{"key":"ref16","first-page":"39","article-title":"Mapping minerals, amorphous materials, environmental materials, vegetation, water, ice and snow, and other materials: The USGS tricorder algorithm","volume-title":"Proc. JPL, Summaries 5th Annu. JPL Airborne Earth Sci. Workshop","volume":"1","author":"Clark"},{"key":"ref17","first-page":"3","article-title":"Autoencoders, minimum description length, and Helmholtz free energy","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Hinton"},{"key":"ref18","first-page":"159","article-title":"Fixing a broken ELBO","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","volume":"80","author":"Alemi"},{"key":"ref19","first-page":"1","article-title":"End-to-end optimized image compression","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Balle\u2019"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19809-0_5"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/BF03168505"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2014.968682"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2006.888109"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s11220-016-0128-5"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.4236\/jsip.2019.103007"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.4236\/jsip.2019.104009"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.5121\/sipij.2019.10101"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/103085.103090"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2018.8519455"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-10-3812-9_28"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-019-01753-z"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s12145-021-00623-4"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2012.2221191"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0161212"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCE.2010.5556843"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.3390\/rs14102472"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2012.2191531"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2013.783944"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1002\/9781118269787"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2016.03.012"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2010.2042063"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2009.2021674"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2007.894565"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.06.052"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2012.6351286"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2009.2032370"},{"key":"ref47","first-page":"1","article-title":"Variational image compression with a scale hyperprior","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Ball\u00e9"},{"key":"ref48","first-page":"1","article-title":"Context-adaptive entropy model for end-to-end optimized image compression","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Lee"},{"key":"ref49","first-page":"10794","article-title":"Joint autoregressive and hierarchical priors for learned image compression","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Minnen"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00548"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00025"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00609"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/s10710-007-9028-8"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1145\/3503250"},{"key":"ref55","first-page":"7462","article-title":"Implicit neural representations with periodic activation functions","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Sitzmann"},{"key":"ref56","first-page":"7537","article-title":"Fourier features let networks learn high frequency functions in low dimensional domains","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Tancik"},{"key":"ref57","first-page":"1","article-title":"COIN: Compression with implicit neural representations","volume-title":"Proc. Neural Compress., From Inf. Theory Appl.-Workshop ICLR","author":"Dupont"},{"key":"ref58","first-page":"2678","article-title":"Semi-amortized variational autoencoders","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Kim"},{"key":"ref59","first-page":"143","article-title":"On the challenges of learning with inference networks on sparse, high-dimensional data","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"Krishnan"},{"key":"ref60","first-page":"3403","article-title":"Iterative amortized inference","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Marino"},{"key":"ref61","first-page":"1","article-title":"Content adaptive optimization for neural image compression","volume-title":"Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit.","volume":"2","author":"Djelouah"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00069"},{"key":"ref63","first-page":"573","article-title":"Improving inference for neural image compression","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Yang"},{"key":"ref64","first-page":"1078","article-title":"Inference suboptimality in variational autoencoders","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Cremer"},{"key":"ref65","first-page":"1","article-title":"Overfitting for fun and profit: Instance-adaptive data compression","volume-title":"Proc. 9th Int. Conf. Learn. Represent. (ICLR)","author":"van Rozendaal"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1002\/9780470124628.ch14"},{"issue":"6","key":"ref68","first-page":"64","article-title":"3D wavelet block tree coding for hyperspectral images","volume":"8","author":"Bajpai","year":"2019","journal-title":"Int. J. Innov. Technol. Exploring Eng."},{"issue":"12","key":"ref69","first-page":"735","article-title":"3D listless embedded block coding algorithm for compression of volumetric medical images","volume":"72","author":"Sudha","year":"2013","journal-title":"J. Sci. Ind. Res."},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-019-07797-6"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-021-11456-0"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/36\/10807682\/10804213.pdf?arnumber=10804213","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,24]],"date-time":"2024-12-24T06:24:26Z","timestamp":1735021466000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10804213\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":71,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2024.3509718","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}