{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,3]],"date-time":"2025-07-03T19:10:05Z","timestamp":1751569805451,"version":"3.41.0"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031877711"},{"type":"electronic","value":"9783031877728"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-87772-8_17","type":"book-chapter","created":{"date-parts":[[2025,4,22]],"date-time":"2025-04-22T07:31:47Z","timestamp":1745307107000},"page":"198-210","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["SaaS-Enabled RGB to\u00a0Hyperspectral Imaging: A Novel Paradigm in\u00a0Image Processing Technology"],"prefix":"10.1007","author":[{"given":"Robert","family":"Williamson","sequence":"first","affiliation":[]},{"given":"Carlos","family":"Rea\u00f1o","sequence":"additional","affiliation":[]},{"given":"Jesus","family":"Martinez del Rincon","sequence":"additional","affiliation":[]},{"given":"Anastasios","family":"Koidis","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,4,23]]},"reference":[{"issue":"11","key":"17_CR1","doi-asserted-by":"publisher","first-page":"1110","DOI":"10.3390\/rs9111110","volume":"9","author":"T Ad\u00e3o","year":"2017","unstructured":"Ad\u00e3o, T., et al.: Hyperspectral imaging: a review on UAV-based sensors, data processing and applications for agriculture and forestry. Remote Sens. 9(11), 1110 (2017)","journal-title":"Remote Sens."},{"issue":"6535","key":"17_CR2","doi-asserted-by":"publisher","first-page":"eabe8628","DOI":"10.1126\/science.abe8628","volume":"371","author":"M Burke","year":"2021","unstructured":"Burke, M., Driscoll, A., Lobell, D.B., Ermon, S.: Using satellite imagery to understand and promote sustainable development. Science 371(6535), eabe8628 (2021)","journal-title":"Science"},{"key":"17_CR3","doi-asserted-by":"crossref","unstructured":"El Masry, G., Sun, D.-W.: Principles of hyperspectral imaging technology. In: Hyperspectral Imaging for Food Quality Analysis and Control, pp. 3\u201343. Elsevier (2010)","DOI":"10.1016\/B978-0-12-374753-2.10001-2"},{"key":"17_CR4","doi-asserted-by":"crossref","unstructured":"Faheem, M., Sharma, V., Murphy, A., Rea\u00f1o, C.: Accelerating scalable manufacturing models with discrete event simulation as-a-service. In: 2024 9th International Conference on Fog and Mobile Edge Computing (FMEC), Malm\u00f6, Sweden, 2-5 September 2024, pp. 185\u2013189 (2024)","DOI":"10.1109\/FMEC62297.2024.10710316"},{"key":"17_CR5","doi-asserted-by":"crossref","unstructured":"Fei, B.: Hyperspectral imaging in medical applications. In: Data Handling in Science and Technology, vol. 32, pp. 523\u2013565. Elsevier (2019)","DOI":"10.1016\/B978-0-444-63977-6.00021-3"},{"key":"17_CR6","doi-asserted-by":"crossref","unstructured":"Geladi, P.H.J.H., Grahn, H., Burger, J.: Multivariate images, hyperspectral imaging: background and equipment. In: Techniques and Applications of Hyperspectral Image Analysis, pp. 1\u201315 (2007)","DOI":"10.1002\/9780470010884.ch1"},{"key":"17_CR7","doi-asserted-by":"publisher","unstructured":"Hunt, J.: Sockets in Python. In: Advanced Guide to Python 3 Programming. UTCS, pp. 457\u2013470. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-25943-3_39","DOI":"10.1007\/978-3-030-25943-3_39"},{"key":"17_CR8","series-title":"EAI\/Springer Innovations in Communication and Computing","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1007\/978-3-030-57077-4_10","volume-title":"Programming with TensorFlow","author":"S Imambi","year":"2021","unstructured":"Imambi, S., Prakash, K.B., Kanagachidambaresan, G.R.: PyTorch. In: Prakash, K.B., Kanagachidambaresan, G.R. (eds.) Programming with TensorFlow. EICC, pp. 87\u2013104. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-57077-4_10"},{"issue":"5","key":"17_CR9","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, A.A.: Hyperspectral imaging: a review and trends towards medical imaging. Current Med. Imaging 19(5), 417\u2013427 (2023)","journal-title":"Current Med. Imaging"},{"issue":"7","key":"17_CR10","doi-asserted-by":"publisher","first-page":"2107","DOI":"10.1109\/TPDS.2023.3274957","volume":"34","author":"J Kennedy","year":"2023","unstructured":"Kennedy, J., Sharma, V., Varghese, B., Rea\u00f1o, C.: Multi-tier GPU virtualization for deep learning in cloud-edge systems. IEEE Trans. Parallel Distrib. Syst. 34(7), 2107\u20132123 (2023)","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"17_CR11","doi-asserted-by":"crossref","unstructured":"Kwon, H., Tai, Y.-W.: RGB-guided hyperspectral image upsampling. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 307\u2013315 (2015)","DOI":"10.1109\/ICCV.2015.43"},{"issue":"4","key":"17_CR12","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1080\/21681163.2021.1997646","volume":"10","author":"P Li","year":"2022","unstructured":"Li, P., et al.: Deep learning approach for hyperspectral image demosaicking, spectral correction and high-resolution RGB reconstruction. Comput. Methods Biomech. Biomed. Eng. Imaging Visual. 10(4), 409\u2013417 (2022)","journal-title":"Comput. Methods Biomech. Biomed. Eng. Imaging Visual."},{"issue":"16","key":"17_CR13","doi-asserted-by":"publisher","first-page":"2659","DOI":"10.3390\/rs12162659","volume":"12","author":"B Lu","year":"2020","unstructured":"Lu, B., Dao, P.D., Liu, J., He, Y., Shang, J.: Recent advances of hyperspectral imaging technology and applications in agriculture. Remote Sens. 12(16), 2659 (2020)","journal-title":"Remote Sens."},{"key":"17_CR14","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/j.jspr.2015.01.006","volume":"61","author":"S Mahesh","year":"2015","unstructured":"Mahesh, S., Jayas, D.S., Paliwal, J., White, N.: Hyperspectral imaging to classify and monitor quality of agricultural materials. J. Stored Prod. Res. 61, 17\u201326 (2015)","journal-title":"J. Stored Prod. Res."},{"issue":"6","key":"17_CR15","doi-asserted-by":"publisher","first-page":"2159","DOI":"10.3390\/s22062159","volume":"22","author":"A Morales","year":"2022","unstructured":"Morales, A., et al.: Laboratory hyperspectral image acquisition system setup and validation. Sensors 22(6), 2159 (2022)","journal-title":"Sensors"},{"key":"17_CR16","doi-asserted-by":"crossref","unstructured":"Nautiyal, A.: Developing smart hyperspectral imaging technology to aid healthcare professionals in sustainable medical environments. In: 2024 3rd International Conference for Innovation in Technology (INOCON), pp. 1\u20136. IEEE (2024)","DOI":"10.1109\/INOCON60754.2024.10511718"},{"key":"17_CR17","doi-asserted-by":"publisher","unstructured":"Nguyen, R.M.H., Prasad, D.K., Brown, M.S.: Training-Based Spectral Reconstruction from a Single RGB Image. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8695, pp. 186\u2013201. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10584-0_13","DOI":"10.1007\/978-3-319-10584-0_13"},{"issue":"1","key":"17_CR18","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1186\/s13677-024-00649-1","volume":"13","author":"C Rea\u00f1o","year":"2024","unstructured":"Rea\u00f1o, C., Riera, J.V., Romero, V., Morillo, P., Casas-Yrurzum, S.: A cloud-edge computing architecture for monitoring protective equipment. J. Cloud Comput. 13(1), 82 (2024)","journal-title":"J. Cloud Comput."},{"issue":"4","key":"17_CR19","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1109\/MSP.2014.2312071","volume":"31","author":"J Ren","year":"2014","unstructured":"Ren, J., Zabalza, J., Marshall, S., Zheng, J.: Effective feature extraction and data reduction with hyperspectral imaging in remote sensing. IEEE Signal Process. Mag. 31(4), 149\u2013154 (2014)","journal-title":"IEEE Signal Process. Mag."},{"issue":"14","key":"17_CR20","doi-asserted-by":"publisher","first-page":"3071","DOI":"10.3390\/s19143071","volume":"19","author":"MB Stuart","year":"2019","unstructured":"Stuart, M.B., McGonigle, A., Willmott, J.R.: Hyperspectral imaging in environmental monitoring: a review of recent developments and technological advances in compact field deployable systems. Sensors 19(14), 3071 (2019)","journal-title":"Sensors"},{"key":"17_CR21","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1007\/s41348-017-0124-6","volume":"125","author":"S Thomas","year":"2018","unstructured":"Thomas, S., et al.: Benefits of hyperspectral imaging for plant disease detection and plant protection: a technical perspective. J. Plant Dis. Protect. 125, 5\u201320 (2018)","journal-title":"J. Plant Dis. Protect."},{"issue":"1","key":"17_CR22","doi-asserted-by":"publisher","first-page":"260","DOI":"10.3390\/s18010260","volume":"18","author":"F Vanegas","year":"2018","unstructured":"Vanegas, F., Bratanov, D., Powell, K., Weiss, J., Gonzalez, F.: A novel methodology for improving plant pest surveillance in vineyards and crops using UAV-based hyperspectral and spatial data. Sensors 18(1), 260 (2018)","journal-title":"Sensors"},{"key":"17_CR23","doi-asserted-by":"crossref","unstructured":"Yang, Z., Albrow-Owen, T., Cai, W., Hasan, T.: Miniaturization of optical spectrometers. Science 371(6528), eabe0722 (2021)","DOI":"10.1126\/science.abe0722"},{"key":"17_CR24","doi-asserted-by":"crossref","unstructured":"Zamir, S.W., et al.: Multi-stage progressive image restoration. In: CVPR, pp. 14821\u201314831 (2021)","DOI":"10.1109\/CVPR46437.2021.01458"},{"issue":"1","key":"17_CR25","doi-asserted-by":"publisher","first-page":"11905","DOI":"10.1038\/s41598-022-16223-1","volume":"12","author":"J Zhang","year":"2022","unstructured":"Zhang, J., Runmu, S., Qiang, F., Ren, W., Heide, F., Nie, Y.: A survey on computational spectral reconstruction methods from RGB to hyperspectral imaging. Sci. Rep. 12(1), 11905 (2022)","journal-title":"Sci. Rep."},{"key":"17_CR26","first-page":"95","volume":"31","author":"X Zhang","year":"2014","unstructured":"Zhang, X., Li, P.: Lithological mapping from hyperspectral data by improved use of spectral angle mapper. Int. J. Appl. Earth Obs. Geoinf. 31, 95\u2013109 (2014)","journal-title":"Int. J. Appl. Earth Obs. Geoinf."}],"container-title":["Lecture Notes on Data Engineering and Communications Technologies","Advanced Information Networking and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-87772-8_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,3]],"date-time":"2025-07-03T18:38:06Z","timestamp":1751567886000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-87772-8_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031877711","9783031877728"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-87772-8_17","relation":{},"ISSN":["2367-4512","2367-4520"],"issn-type":[{"type":"print","value":"2367-4512"},{"type":"electronic","value":"2367-4520"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"23 April 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AINA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Information Networking and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Barcelona","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 April 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 April 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"39","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aina0","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/voyager.ce.fit.ac.jp\/conf\/aina\/2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}