{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T09:14:26Z","timestamp":1778058866118,"version":"3.51.4"},"reference-count":47,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T00:00:00Z","timestamp":1771804800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T00:00:00Z","timestamp":1778025600000},"content-version":"vor","delay-in-days":72,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"name":"Jilin Province Science and Technology Development Plan Project","award":["20240402029GH"],"award-info":[{"award-number":["20240402029GH"]}]},{"name":"Jilin Province Within-Budget Capital Construction Fund","award":["2024C014-8"],"award-info":[{"award-number":["2024C014-8"]}]},{"name":"Strategic Priority Research Program of the Chinese Academy of Sciences","award":["XDA28050201"],"award-info":[{"award-number":["XDA28050201"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["42377037"],"award-info":[{"award-number":["42377037"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J. King Saud Univ. Comput. Inf. Sci."],"published-print":{"date-parts":[[2026,5]]},"DOI":"10.1007\/s44443-026-00538-4","type":"journal-article","created":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T13:37:38Z","timestamp":1771853858000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["WMM: noise-robust hyperspectral image classification via joint wavelet-manifold mamba framework"],"prefix":"10.1007","volume":"38","author":[{"given":"Hongyu","family":"Xie","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingle","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huansong","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingyu","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liang","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qingbin","family":"Jiao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Tan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,2,23]]},"reference":[{"key":"538_CR1","first-page":"1","volume":"21","author":"M Ahmad","year":"2024","unstructured":"Ahmad M, Ghous U, Usama M, Mazzara M (2024) Waveformer: Spectral-spatial wavelet transformer for hyperspectral image classification. IEEE Geosci Remote Sens Lett 21:1\u20135","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"538_CR2","doi-asserted-by":"crossref","unstructured":"Ahmad M, Distefano S, Khan AM, Mazzara M, Li C, Li H, Aryal J, Ding Y, Vivone G, Hong D (2025) A comprehensive survey for hyperspectral image classification: The evolution from conventional to transformers and mamba models. Neurocomputing 130428","DOI":"10.1016\/j.neucom.2025.130428"},{"issue":"5","key":"538_CR3","doi-asserted-by":"publisher","first-page":"2025","DOI":"10.1016\/j.asr.2024.05.064","volume":"74","author":"SO Atik","year":"2024","unstructured":"Atik SO (2024) Dual-stream spectral-spatial convolutional neural network for hyperspectral image classification and optimal band selection. Adv Space Res 74(5):2025\u20132041","journal-title":"Adv Space Res"},{"key":"538_CR4","doi-asserted-by":"crossref","unstructured":"Butt MHF, Li JP, Butt MAF, Ahmad M, Tunio MH, Ahmed A (2023) Mitigating hughes phenomenon: Improving hyperspectral imaging classification through active learning for generalization enhancement. In: 2023 20th International computer conference on wavelet active media technology and information processing (ICCWAMTIP), IEEE, pp 1\u20138","DOI":"10.1109\/ICCWAMTIP60502.2023.10387041"},{"issue":"5","key":"538_CR5","doi-asserted-by":"publisher","first-page":"170","DOI":"10.3390\/technologies13050170","volume":"13","author":"MF Cheng","year":"2025","unstructured":"Cheng MF, Mukundan A, Karmakar R, Valappil MAE, Jouhar J, Wang HC (2025) Modern trends and recent applications of hyperspectral imaging: A review. Technologies 13(5):170","journal-title":"Technologies"},{"issue":"2","key":"538_CR6","first-page":"566","volume":"33","author":"Y Cheng","year":"2021","unstructured":"Cheng Y, Wang X, Xia Y (2021) Supervised t-distributed stochastic neighbor embedding for data visualization and classification. INFORMS J Comput 33(2):566\u2013585","journal-title":"INFORMS J Comput"},{"key":"538_CR7","doi-asserted-by":"crossref","unstructured":"Cui X (2025) Cfat: Convolutional fieldy attention transformer for polarimetric sar image classification. IEEE J Selec Topics Appl Earth Observ Remote Sens","DOI":"10.1109\/JSTARS.2025.3621747"},{"key":"538_CR8","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1109\/JSTARS.2025.3631311","volume":"19","author":"X Cui","year":"2025","unstructured":"Cui X, Zhang L (2025) Demunet: dual encoder mamba u-net for hyperspectral image classification. IEEE J Selec Topics Appl Earth Observ Remote Sens 19:99\u2013113","journal-title":"IEEE J Selec Topics Appl Earth Observ Remote Sens"},{"issue":"15","key":"538_CR9","doi-asserted-by":"publisher","first-page":"5523","DOI":"10.1080\/01431161.2025.2530237","volume":"46","author":"X Cui","year":"2025","unstructured":"Cui X, Zhang L (2025) Mamba-dcau: state space dual attention center-sampling u-net for hyperspectral image classification. Int J Remote Sens 46(15):5523\u20135547","journal-title":"Int J Remote Sens"},{"issue":"2","key":"538_CR10","first-page":"021406","volume":"20","author":"X Cui","year":"2026","unstructured":"Cui X, Zhang L (2026) Cadsm: crossing-attention dual-scanning mamba for multimodal remote sensing image classification. J Appl Remote Sens 20(2):021406\u2013021406","journal-title":"J Appl Remote Sens"},{"issue":"2","key":"538_CR11","doi-asserted-by":"publisher","first-page":"770","DOI":"10.1080\/01431161.2025.2594891","volume":"47","author":"X Cui","year":"2026","unstructured":"Cui X, Zhang L (2026) Mtmixer: a hybrid mamba-transformer architecture for multimodal remote sensing image classification. Int J Remote Sens 47(2):770\u2013799","journal-title":"Int J Remote Sens"},{"issue":"3","key":"538_CR12","doi-asserted-by":"publisher","first-page":"314","DOI":"10.1007\/s10661-025-13728-w","volume":"197","author":"A Dutta","year":"2025","unstructured":"Dutta A, Lall B, Sharma S (2025) Potential of satellite hyperspectral imaging technology in soil health analysis: A step towards environmental sustainability. Environ Monit Assess 197(3):314","journal-title":"Environ Monit Assess"},{"key":"538_CR13","doi-asserted-by":"crossref","unstructured":"Faisal S, Ooi MPL, Kuang YC, Abeysekera SK, Fletcher D (2025) An overview of integrating deep learning methods with close-range hyperspectral imaging for agriculture. IEEE Access","DOI":"10.1109\/ACCESS.2025.3587226"},{"key":"538_CR14","doi-asserted-by":"crossref","unstructured":"Gao H, Chen Z, Li Y (2025) Spectral-spatial mamba adversarial defense network for hyperspectral image classification. Intern J Digit Earth 18(1):2520480. integrates dense involution and multiscale Mamba for robust defense","DOI":"10.1080\/17538947.2025.2520480"},{"key":"538_CR15","unstructured":"Gu A, Dao T (2024) Mamba: Linear-time sequence modeling with selective state spaces. In: First conference on language modeling"},{"issue":"3","key":"538_CR16","doi-asserted-by":"publisher","first-page":"1579","DOI":"10.1109\/TGRS.2017.2765364","volume":"56","author":"L He","year":"2017","unstructured":"He L, Li J, Liu C, Li S (2017) Recent advances on spectral-spatial hyperspectral image classification: An overview and new guidelines. IEEE Trans Geosci Remote Sens 56(3):1579\u20131597","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"538_CR17","doi-asserted-by":"crossref","unstructured":"He Y, Tu B, Liu B, Li J, Plaza A (2024) 3dss-mamba: 3d-spectral-spatial mamba for hyperspectral image classification. IEEE Trans Geosci Remote Sens","DOI":"10.1109\/TGRS.2024.3472091"},{"issue":"1","key":"538_CR18","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1038\/s43586-024-00363-x","volume":"4","author":"J Healy","year":"2024","unstructured":"Healy J, McInnes L (2024) Uniform manifold approximation and projection. Nat Rev Meth Primers 4(1):82","journal-title":"Nat Rev Meth Primers"},{"key":"538_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TGRS.2022.3172371","volume":"60","author":"D Hong","year":"2021","unstructured":"Hong D, Han Z, Yao J, Gao L, Zhang B, Plaza A, Chanussot J (2021) Spectralformer: Rethinking hyperspectral image classification with transformers. IEEE Trans Geosci Remote Sens 60:1\u201315","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"538_CR20","doi-asserted-by":"crossref","unstructured":"Huang L, Chen Y, He X (2024) Spectral-spatial mamba for hyperspectral image classification. arXiv:2404.18401","DOI":"10.3390\/rs16132449"},{"key":"538_CR21","first-page":"1","volume":"62","author":"S Jia","year":"2024","unstructured":"Jia S, Wang Y, Jiang S, He R (2024) A center-masked transformer for hyperspectral image classification. IEEE Trans Geosci Remote Sens 62:1\u201316","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"538_CR22","doi-asserted-by":"publisher","first-page":"103898","DOI":"10.1016\/j.infrared.2021.103898","volume":"118","author":"Q Jiang","year":"2021","unstructured":"Jiang Q, Wu G, Tian C, Li N, Yang H, Bai Y, Zhang B (2021) Hyperspectral imaging for early identification of strawberry leaves diseases with machine learning and spectral fingerprint features. Infrar Phys Technol 118:103898","journal-title":"Infrar Phys Technol"},{"issue":"5","key":"538_CR23","doi-asserted-by":"publisher","first-page":"417","DOI":"10.2174\/1573405618666220519144358","volume":"19","author":"S Karim","year":"2023","unstructured":"Karim S, Qadir A, Farooq U, Shakir M, Laghari AA (2023) Hyperspectral imaging: a review and trends towards medical imaging. Curr Med Imag Rev 19(5):417\u2013427","journal-title":"Curr Med Imag Rev"},{"issue":"10","key":"538_CR24","doi-asserted-by":"publisher","first-page":"4843","DOI":"10.1109\/TIP.2017.2725580","volume":"26","author":"H Lee","year":"2017","unstructured":"Lee H, Kwon H (2017) Going deeper with contextual cnn for hyperspectral image classification. IEEE Trans Image Process 26(10):4843\u20134855","journal-title":"IEEE Trans Image Process"},{"key":"538_CR25","first-page":"1","volume":"62","author":"N Li","year":"2023","unstructured":"Li N, Jiang S, Xue J, Ye S, Jia S (2023) Texture-aware self-attention model for hyperspectral tree species classification. IEEE Trans Geosci Remote Sens 62:1\u201315","journal-title":"IEEE Trans Geosci Remote Sens"},{"issue":"11","key":"538_CR26","doi-asserted-by":"publisher","first-page":"1181","DOI":"10.1007\/s11227-025-07653-5","volume":"81","author":"X Li","year":"2025","unstructured":"Li X, Ma H, Guo S, Zhang D, Li Z (2025) Graph knowledge distillation-guided few-shot learning for hyperspectral image classification. J Supercomput 81(11):1181","journal-title":"J Supercomput"},{"key":"538_CR27","first-page":"1","volume":"63","author":"L Liang","year":"2025","unstructured":"Liang L, Xie P, Zhang Y, Li J, Zhang Z, Li J, Plaza A (2025a) Dbmlla: Double-branch mamba-like linear attention network for hyperspectral image classification. IEEE Trans Geosci Remote Sens 63:1\u201315","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"538_CR28","doi-asserted-by":"crossref","unstructured":"Liang L, Xie P, Zhang Y, Li J, Zhang Z, Li J, Plaza A (2025b) Dbmlla: Double-branch mamba-like linear attention network for hyperspectral image classification. IEEE Trans Geosci Remote Sens","DOI":"10.1109\/TGRS.2025.3605798"},{"issue":"16","key":"538_CR29","doi-asserted-by":"publisher","first-page":"3301","DOI":"10.3390\/electronics14163301","volume":"14","author":"G Liu","year":"2025","unstructured":"Liu G, Zhang Q, Sun X, Zhao Y (2025) Wtcmc: A hyperspectral image classification network based on wavelet transform combining mamba and convolutional neural networks. Electronics 14(16):3301","journal-title":"Electronics"},{"issue":"3","key":"538_CR30","doi-asserted-by":"publisher","first-page":"872","DOI":"10.1109\/TIP.2012.2219544","volume":"22","author":"W Liu","year":"2012","unstructured":"Liu W, Lin W (2012) Additive white gaussian noise level estimation in svd domain for images. IEEE Trans Image Process 22(3):872\u2013883","journal-title":"IEEE Trans Image Process"},{"key":"538_CR31","first-page":"1","volume":"62","author":"J Ma","year":"2024","unstructured":"Ma J, Zou Y, Tang X, Zhang X, Liu F, Jiao L (2024) Spatial pooling transformer network and noise-tolerant learning for noisy hyperspectral image classification. IEEE Trans Geosci Remote Sens 62:1\u201319","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"538_CR32","doi-asserted-by":"crossref","unstructured":"Ma W, Gong C, Hu Y, Meng P, Xu F (2013) The hughes phenomenon in hyperspectral classification based on the ground spectrum of grasslands in the region around qinghai lake. In: International symposium on photoelectronic detection and imaging 2013: Imaging spectrometer technologies and applications, SPIE, vol 8910, pp 363\u2013373","DOI":"10.1117\/12.2034457"},{"key":"538_CR33","doi-asserted-by":"crossref","unstructured":"Pandey C, Sahu YK, Sethy PK, Behera SK (2022) Hyperspectral imagery applications for precision agriculture: A systemic survey. Data Analyt Computat Stat Oper Res Eng 1\u201338","DOI":"10.1201\/9781003152392-1"},{"key":"538_CR34","first-page":"1","volume":"60","author":"Y Peng","year":"2022","unstructured":"Peng Y, Zhang Y, Tu B, Li Q, Li W (2022) Spatial-spectral transformer with cross-attention for hyperspectral image classification. IEEE Trans Geosci Remote Sens 60:1\u201315","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"538_CR35","doi-asserted-by":"crossref","unstructured":"Ren K, Sun W, Meng X, Yang G (2025) Msfdn: multi-scale spatial-spectral-frequency joint denoising network for hyperspectral images. Geo-spat Inf Sci 1\u201320","DOI":"10.1080\/10095020.2025.2477552"},{"key":"538_CR36","doi-asserted-by":"crossref","unstructured":"Sarpong K, Awrangjeb M, Islam MS, Helmy I (2025) Self-correlation network with triple contrastive learning for hyperspectral image classification with noisy labels. IEEE J Select Topics Appl Earth Observ Remote Sens","DOI":"10.1109\/JSTARS.2025.3543764"},{"key":"538_CR37","doi-asserted-by":"crossref","unstructured":"Scheibenreif L, Mommert M, Borth D (2023) Masked vision transformers for hyperspectral image classification. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp 2166\u20132176","DOI":"10.1109\/CVPRW59228.2023.00210"},{"key":"538_CR38","first-page":"1","volume":"60","author":"L Sun","year":"2022","unstructured":"Sun L, Zhao G, Zheng Y, Wu Z (2022) Spectral-spatial feature tokenization transformer for hyperspectral image classification. IEEE Trans Geosci Remote Sens 60:1\u201314","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"538_CR39","doi-asserted-by":"crossref","unstructured":"Wan X, He Y, Chen F, Sun Z, Mo D (2025) Hlsk-casmamba: hybrid large selective kernel and convolutional additive self-attention mamba for hyperspectral image classification. J King Saud Univ-Comput Inf Sci 37","DOI":"10.1007\/s44443-025-00060-z"},{"key":"538_CR40","doi-asserted-by":"crossref","unstructured":"Xu Y, Nakayama H (2021) Dct-based fast spectral convolution for deep convolutional neural networks. In: 2021 International joint conference on neural networks (IJCNN), IEEE, pp 1\u20138","DOI":"10.1109\/IJCNN52387.2021.9534135"},{"key":"538_CR41","unstructured":"Yang G, et al. (2025) Mambahsi: Spatial-spectral mamba for hyperspectral image classification. arXiv:2501.04944. Proposed a novel spatial-spectral adaptive scanning mechanism for HSI"},{"key":"538_CR42","unstructured":"Yao J, Hong D, Li C, Chanussot J (2024) Spectralmamba: Efficient mamba for hyperspectral image classification. arXiv:2404.08489"},{"key":"538_CR43","doi-asserted-by":"crossref","unstructured":"Yue X, Liu A, Chen N, Xia S, Yue J, Fang L (2024) Hypermll: Toward robust hyperspectral image classification with multi-source label learning. IEEE Trans Geosci Remote Sens","DOI":"10.1109\/TGRS.2024.3441095"},{"key":"538_CR44","doi-asserted-by":"crossref","unstructured":"Zhang M, Xie H, Yang M, Jiao Q, Xu L, Tan X (2025) Mamba-enhanced spatial-spectral feature learning for hyperspectral unmixing. IEEE J Select Topics Appl Earth Observ Remote Sens","DOI":"10.1109\/JSTARS.2025.3598873"},{"key":"538_CR45","doi-asserted-by":"publisher","first-page":"112012","DOI":"10.1016\/j.rse.2020.112012","volume":"250","author":"Y Zhong","year":"2020","unstructured":"Zhong Y, Hu X, Luo C, Wang X, Zhao J, Zhang L (2020) Whu-hi: Uav-borne hyperspectral with high spatial resolution (h2) benchmark datasets and classifier for precise crop identification based on deep convolutional neural network with crf. Remote Sens Environ 250:112012","journal-title":"Remote Sens Environ"},{"key":"538_CR46","unstructured":"Zhu L, Liao B, Zhang Q, Wang X, Liu W, Wang X (2024) Vision mamba: Efficient visual representation learning with bidirectional state space model. arXiv:2401.09417"},{"key":"538_CR47","doi-asserted-by":"crossref","unstructured":"Zia A, Zhou J, Gao Y (2021) Exploring chromatic aberration and defocus blur for relative depth estimation from monocular hyperspectral image. IEEE Trans Image Process 30:4357\u20134370","DOI":"10.1109\/TIP.2021.3071682"}],"container-title":["Journal of King Saud University Computer and Information Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s44443-026-00538-4","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s44443-026-00538-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s44443-026-00538-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T08:25:27Z","timestamp":1778055927000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s44443-026-00538-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2,23]]},"references-count":47,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2026,5]]}},"alternative-id":["538"],"URL":"https:\/\/doi.org\/10.1007\/s44443-026-00538-4","relation":{},"ISSN":["1319-1578","2213-1248"],"issn-type":[{"value":"1319-1578","type":"print"},{"value":"2213-1248","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2,23]]},"assertion":[{"value":"25 December 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 January 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 February 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics declaration"}},{"value":"The authors declare that they have no conflict of interest.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interest"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"155"}}