{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T07:19:08Z","timestamp":1788247148929,"version":"build-2803163510"},"reference-count":41,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100003787","name":"Hebei Provincial Natural Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003787","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy"],"published-print":{"date-parts":[[2026,12]]},"DOI":"10.1016\/j.saa.2026.128271","type":"journal-article","created":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T23:21:40Z","timestamp":1781652100000},"page":"128271","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"P1","title":["Hyperspectral geographical origin identification of Bupleurum via spatial-spectral features based on adaptive weighted quaternion zernike moments"],"prefix":"10.1016","volume":"363","author":[{"given":"Wa","family":"Jin","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shenao","family":"Fan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lijiao","family":"Zu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shi","family":"Qiu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanjun","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinghu","family":"Fu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.saa.2026.128271_bb0005","series-title":"Bupleurum Species:Scientific Evaluation and Clinical Applications","author":"P. (Ed. ) S.L.","year":"2006"},{"key":"10.1016\/j.saa.2026.128271_bb0010","first-page":"1316","article-title":"Research on the improvement effect and mechanism of Chaihu Shugan powder on anxiety and depression in perimenopausal depression model rats","volume":"35","author":"Han","year":"2024","journal-title":"Lishizhen Med. Mater. Med. Res."},{"key":"10.1016\/j.saa.2026.128271_bb0015","first-page":"245","article-title":"Traditional use, pharmacology, toxicology, and quality control of species in genus Bupleurum L","volume":"5","author":"Yao","year":"2013","journal-title":"Chin. Herb. Med."},{"key":"10.1016\/j.saa.2026.128271_bb0020","article-title":"Study on molecular mechanism of volatiles variation during Bupleurum scorzonerifolium root development based on metabolome and transcriptome analysis","volume":"14","author":"Yu","year":"2023","journal-title":"Front. Plant Sci."},{"key":"10.1016\/j.saa.2026.128271_bb0025","doi-asserted-by":"crossref","DOI":"10.1002\/bmc.5133","article-title":"Comparison of chemical constituents of bupleurum marginatum var. stenophyllum and bupleurum chinense DC. Using UHPLC\u2013Q-TOF\u2013MS based on a metabonomics approach","volume":"35","author":"Xia","year":"2021","journal-title":"Biomed. Chromatogr."},{"key":"10.1016\/j.saa.2026.128271_bb0030","first-page":"1","article-title":"Bibliometric analysis of marine traditional chinese medicine in pharmacopoeia of the people\u2019s republic of China: development, differences, and trends directions","volume":"2022","author":"Cao","year":"2022","journal-title":"Evid.-Based Complement. Altern. Med."},{"key":"10.1016\/j.saa.2026.128271_bb0035","first-page":"2253","article-title":"Quality analysis of Bupleurum chinense from different origins by HPLC-CAD fingerprint combined with chemometrics","volume":"20","author":"Zhou","year":"2022","journal-title":"Cent. South Pharm."},{"key":"10.1016\/j.saa.2026.128271_bb0040","doi-asserted-by":"crossref","first-page":"542","DOI":"10.1186\/s12870-025-06479-w","article-title":"Evaluation of different ecological regions for cultivation of best quality bupleurum: a case study from Shanxi, China","volume":"25","author":"Zhang","year":"2025","journal-title":"BMC Plant Biol."},{"key":"10.1016\/j.saa.2026.128271_bb0045","first-page":"1","article-title":"Review on key technologies and applications of pharmaceutical quality testing","volume":"41","author":"Zhang","year":"2020","journal-title":"J. Sci. Instrum."},{"key":"10.1016\/j.saa.2026.128271_bb0050","series-title":"Research on Quality Evaluation of Bupleurum chinense and Bupleurum scorzonerifolium, Master Thesis, Harbin University of Commerce","author":"Chen","year":"2025"},{"key":"10.1016\/j.saa.2026.128271_bb0055","doi-asserted-by":"crossref","first-page":"1048","DOI":"10.1016\/j.jpba.2009.01.011","article-title":"Fast determination of saikosaponins in bupleurum by rapid resolution liquid chromatography with evaporative light scattering detection","volume":"49","author":"Huang","year":"2009","journal-title":"J. Pharm. Biomed. Anal."},{"key":"10.1016\/j.saa.2026.128271_bb0060","first-page":"3590","article-title":"Identification of commercial Bupleuri Radix and ITS adulterants based on ITS2 barcode","volume":"48","author":"Wang","year":"2017","journal-title":"Chin. Tradit. Herb. Drug"},{"key":"10.1016\/j.saa.2026.128271_bb0065","doi-asserted-by":"crossref","DOI":"10.1016\/j.postharvbio.2020.111318","article-title":"Hyperspectral imaging technology for quality and safety evaluation of horticultural products: a review and celebration of the past 20-year progress","volume":"170","author":"Lu","year":"2020","journal-title":"Postharvest Biol. Technol."},{"key":"10.1016\/j.saa.2026.128271_bb0070","doi-asserted-by":"crossref","first-page":"1285","DOI":"10.3390\/coatings14101285","article-title":"A review of the application of hyperspectral imaging technology in agricultural crop economics","volume":"14","author":"Wu","year":"2024","journal-title":"Coatings"},{"key":"10.1016\/j.saa.2026.128271_bb0075","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1109\/MGRS.2017.2762087","article-title":"Advances in hyperspectral image and signal processing: a comprehensive overview of the state of the art","volume":"5","author":"Ghamisi","year":"2017","journal-title":"IEEE Geosci. Remote Sens. Mag."},{"key":"10.1016\/j.saa.2026.128271_bb0080","doi-asserted-by":"crossref","DOI":"10.1016\/j.fbio.2024.103946","article-title":"Geographical origin discrimination of lemon myrtle (Backhousia citriodora) leaf powder using near-infrared hyperspectral imaging","volume":"59","author":"Seididamyeh","year":"2024","journal-title":"Food Biosci."},{"key":"10.1016\/j.saa.2026.128271_bb0085","doi-asserted-by":"crossref","DOI":"10.3389\/fpls.2022.1031849","article-title":"Hyperspectral imaging with machine learning for non-destructive classification of Astragalus membranaceus var. mongholicus, Astragalus membranaceus, and similar seeds","volume":"13","author":"Xu","year":"2022","journal-title":"Front. Plant Sci."},{"key":"10.1016\/j.saa.2026.128271_bb0090","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1016\/j.patrec.2018.10.003","article-title":"Joint spatial-spectral hyperspectral image classification based on convolutional neural network","volume":"130","author":"Han","year":"2020","journal-title":"Pattern Recogn. Lett."},{"key":"10.1016\/j.saa.2026.128271_bb0095","doi-asserted-by":"crossref","first-page":"649","DOI":"10.1016\/j.lwt.2014.10.021","article-title":"Combination of spectra and texture data of hyperspectral imaging for differentiating between free-range and broiler chicken meats","volume":"60","author":"Xiong","year":"2015","journal-title":"LWT Food Sci. Technol."},{"key":"10.1016\/j.saa.2026.128271_bb0100","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.jfoodeng.2006.10.016","article-title":"Hyperspectral imaging for nondestructive determination of some quality attributes for strawberry","volume":"81","author":"ElMasry","year":"2007","journal-title":"J. Food Eng."},{"key":"10.1016\/j.saa.2026.128271_bb0105","doi-asserted-by":"crossref","first-page":"4544","DOI":"10.1109\/TGRS.2016.2543748","article-title":"Spectral\u2013spatial feature extraction for hyperspectral image classification: a dimension reduction and deep learning approach","volume":"54","author":"Zhao","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.saa.2026.128271_bb0110","doi-asserted-by":"crossref","first-page":"506","DOI":"10.3390\/rs9050506","article-title":"Hypergraph embedding for spatial-spectral joint feature extraction in hyperspectral images","volume":"9","author":"Sun","year":"2017","journal-title":"Remote Sens."},{"key":"10.1016\/j.saa.2026.128271_bb0115","doi-asserted-by":"crossref","first-page":"5138","DOI":"10.1109\/TGRS.2018.2809912","article-title":"Learning spatial\u2013spectral features for hyperspectral image classification","volume":"56","author":"Shu","year":"2018","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.saa.2026.128271_bb0120","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1109\/LGRS.2005.846011","article-title":"On the impact of PCA dimension reduction for hyperspectral detection of difficult targets","volume":"2","author":"Farrell","year":"2005","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"10.1016\/j.saa.2026.128271_bb0125","doi-asserted-by":"crossref","first-page":"308","DOI":"10.1016\/j.sigpro.2011.07.018","article-title":"Quaternion Zernike moments and their invariants for color image analysis and object recognition","volume":"92","author":"Chen","year":"2012","journal-title":"Signal Process."},{"key":"10.1016\/j.saa.2026.128271_bb0130","doi-asserted-by":"crossref","first-page":"564","DOI":"10.1126\/science.os-2.75.564","article-title":"Elements of quaternions","volume":"os-2","author":"Hardy","year":"1881","journal-title":"Science"},{"key":"10.1016\/j.saa.2026.128271_bb0135","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/j.ins.2016.12.011","article-title":"Image analysis by fractional-order orthogonal moments","volume":"382\u2013383","author":"Xiao","year":"2017","journal-title":"Inf. Sci."},{"key":"10.1016\/j.saa.2026.128271_bb0140","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.patcog.2015.09.018","article-title":"Image analysis by generalized chebyshev\u2013fourier and generalized pseudo-jacobi\u2013fourier moments","volume":"51","author":"Zhu","year":"2016","journal-title":"Pattern Recogn."},{"key":"10.1016\/j.saa.2026.128271_bb0145","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1109\/TIFS.2012.2223680","article-title":"Robust hashing for image authentication using zernike moments and local features","volume":"8","author":"Zhao","year":"2013","journal-title":"IEEE Trans. Inf. Foren. Sec."},{"key":"10.1016\/j.saa.2026.128271_bb0150","doi-asserted-by":"crossref","first-page":"332","DOI":"10.1016\/j.patcog.2018.10.001","article-title":"Fractional-order orthogonal chebyshev moments and moment invariants for image representation and pattern recognition","volume":"86","author":"Benouini","year":"2019","journal-title":"Pattern Recogn."},{"key":"10.1016\/j.saa.2026.128271_bb0155","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1016\/j.neucom.2016.09.124","article-title":"A 3D polar-radius-moment invariant as a shape circularity measure","volume":"259","author":"Ma","year":"2017","journal-title":"Neurocomputing"},{"key":"10.1016\/j.saa.2026.128271_bb0160","doi-asserted-by":"crossref","first-page":"731","DOI":"10.1016\/j.ins.2014.02.158","article-title":"A new robust color image watermarking using local quaternion exponent moments","volume":"277","author":"Wang","year":"2014","journal-title":"Inf. Sci."},{"key":"10.1016\/j.saa.2026.128271_bb0165","doi-asserted-by":"crossref","first-page":"2189","DOI":"10.1109\/TIP.2011.2118216","article-title":"Affine legendre moment invariants for image watermarking robust to geometric distortions","volume":"20","author":"Zhang","year":"2011","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.saa.2026.128271_bb0170","doi-asserted-by":"crossref","first-page":"920","DOI":"10.1364\/JOSA.70.000920","article-title":"Image analysis via the general theory of moments*","volume":"70","author":"Teague","year":"1980","journal-title":"J. Opt. Soc. Am."},{"key":"10.1016\/j.saa.2026.128271_bb0175","doi-asserted-by":"crossref","first-page":"1082","DOI":"10.1109\/TGRS.2014.2333539","article-title":"Dimension reduction using spatial and spectral regularized local discriminant embedding for hyperspectral image classification","volume":"53","author":"Zhou","year":"2015","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.saa.2026.128271_bb0180","doi-asserted-by":"crossref","first-page":"2948","DOI":"10.3390\/molecules25122948","article-title":"Near-infrared spectroscopy in bio-applications","volume":"25","author":"Be\u0107","year":"2020","journal-title":"Molecules"},{"key":"10.1016\/j.saa.2026.128271_bb0185","doi-asserted-by":"crossref","first-page":"7845","DOI":"10.1038\/s41598-017-08509-6","article-title":"Hyperspectral imaging for predicting the internal quality of kiwifruits based on variable selection algorithms and chemometric models","volume":"7","author":"Zhu","year":"2017","journal-title":"Sci. Rep."},{"key":"10.1016\/j.saa.2026.128271_bb0190","doi-asserted-by":"crossref","DOI":"10.1016\/j.foodchem.2023.135505","article-title":"Monitoring chlorophyll changes during tencha processing using portable near-infrared spectroscopy","volume":"412","author":"Liu","year":"2023","journal-title":"Food Chem."},{"key":"10.1016\/j.saa.2026.128271_bb0195","article-title":"Spectral\u2013spatial classification of hyperspectral imagery with 3D convolutional neural network","volume":"9","author":"Li","year":"2017","journal-title":"Remote Sens."},{"key":"10.1016\/j.saa.2026.128271_bb0200","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1109\/LGRS.2019.2918719","article-title":"HybridSN: exploring 3D-2D CNN feature hierarchy for hyperspectral image classification","volume":"17","author":"Roy","year":"2020","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"10.1016\/j.saa.2026.128271_bb0205","series-title":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Fort Worth, TX, USA","first-page":"1824","article-title":"Deep residual networks for hyperspectral image classification","author":"Zhong","year":"2017"}],"updated-by":[{"DOI":"10.1016\/j.saa.2026.128665","type":"erratum","label":"Erratum","source":"publisher","updated":{"date-parts":[[2027,1,15]],"date-time":"2027-01-15T00:00:00Z","timestamp":1799971200000}}],"container-title":["Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1386142526008425?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1386142526008425?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,8,9]],"date-time":"2026-08-09T02:26:00Z","timestamp":1786242360000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1386142526008425"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,12]]},"references-count":41,"alternative-id":["S1386142526008425"],"URL":"https:\/\/doi.org\/10.1016\/j.saa.2026.128271","relation":{},"ISSN":["1386-1425"],"issn-type":[{"value":"1386-1425","type":"print"}],"subject":[],"published":{"date-parts":[[2026,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Hyperspectral geographical origin identification of Bupleurum via spatial-spectral features based on adaptive weighted quaternion zernike moments","name":"articletitle","label":"Article Title"},{"value":"Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.saa.2026.128271","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"128271"}}