{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,19]],"date-time":"2025-11-19T07:11:58Z","timestamp":1763536318257,"version":"3.40.3"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031779145"},{"type":"electronic","value":"9783031779152"}],"license":[{"start":{"date-parts":[[2024,11,29]],"date-time":"2024-11-29T00:00:00Z","timestamp":1732838400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,29]],"date-time":"2024-11-29T00:00:00Z","timestamp":1732838400000},"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\/978-3-031-77915-2_4","type":"book-chapter","created":{"date-parts":[[2024,11,28]],"date-time":"2024-11-28T11:54:17Z","timestamp":1732794857000},"page":"47-60","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["On the Development of a Pixel-Wise Plastic Waste Identification System for Multispectral Remote Sensing Applications"],"prefix":"10.1007","author":[{"given":"Christoph","family":"Tholen","sequence":"first","affiliation":[]},{"given":"Eike","family":"Rodenb\u00e4ck","sequence":"additional","affiliation":[]},{"given":"Lars","family":"Nolle","sequence":"additional","affiliation":[]},{"given":"Robert","family":"Rettig","sequence":"additional","affiliation":[]},{"given":"Frederic","family":"Stahl","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,11,29]]},"reference":[{"key":"4_CR1","doi-asserted-by":"publisher","first-page":"15611","DOI":"10.1038\/ncomms15611","volume":"8","author":"LCM Lebreton","year":"2017","unstructured":"Lebreton, L.C.M., van der Zwet, J., Damsteeg, J.-W., Slat, B., Andrady, A., Reisser, J.: River plastic emissions to the world\u2019s oceans. Nat. Commun. 8, 15611 (2017). https:\/\/doi.org\/10.1038\/ncomms15611","journal-title":"Nat. Commun."},{"key":"4_CR2","doi-asserted-by":"publisher","first-page":"1055","DOI":"10.1093\/icesjms\/fst122","volume":"70","author":"F Galgani","year":"2013","unstructured":"Galgani, F., Hanke, G., Werner, S., De Vrees, L.: Marine litter within the european marine strategy framework directive. ICES J. Mar. Sci. 70, 1055\u20131064 (2013). https:\/\/doi.org\/10.1093\/icesjms\/fst122","journal-title":"ICES J. Mar. Sci."},{"key":"4_CR3","unstructured":"Directive (EU) 2019\/of the European Parliament and of the Council of 5\u00a0June 2019 on the reduction of the impact of certain plastic products on the environment"},{"key":"4_CR4","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1016\/j.marpol.2018.08.036","volume":"98","author":"L Recuero Virto","year":"2018","unstructured":"Recuero Virto, L.: A preliminary assessment of the indicators for Sustainable Development Goal (SDG) 14 \u201cConserve and sustainably use the oceans, seas and marine resources for sustainable development.\u201d Mar. Policy 98, 47\u201357 (2018). https:\/\/doi.org\/10.1016\/j.marpol.2018.08.036","journal-title":"Mar. Policy"},{"key":"4_CR5","doi-asserted-by":"publisher","first-page":"2013","DOI":"10.3390\/rs12122013","volume":"12","author":"K Topouzelis","year":"2020","unstructured":"Topouzelis, K., Papageorgiou, D., Karagaitanakis, A., Papakonstantinou, A., Arias, M.: Remote sensing of sea surface artificial floating plastic targets with sentinel-2 and unmanned aerial systems (plastic litter project 2019). Remote Sens. 12, 2013 (2020). https:\/\/doi.org\/10.3390\/rs12122013","journal-title":"Remote Sens."},{"key":"4_CR6","doi-asserted-by":"publisher","first-page":"11699","DOI":"10.1021\/acs.est.8b02855","volume":"52","author":"SP Garaba","year":"2018","unstructured":"Garaba, S.P., et al.: Sensing ocean plastics with an airborne hyperspectral shortwave infrared imager. Environ. Sci. Technol. 52, 11699\u201311707 (2018). https:\/\/doi.org\/10.1021\/acs.est.8b02855","journal-title":"Environ. Sci. Technol."},{"key":"4_CR7","doi-asserted-by":"publisher","first-page":"1557","DOI":"10.3390\/rs13081557","volume":"13","author":"M Balsi","year":"2021","unstructured":"Balsi, M., Moroni, M., Chiarabini, V., Tanda, G.: High-resolution aerial detection of marine plastic litter by hyperspectral sensing. Remote Sens. 13, 1557 (2021). https:\/\/doi.org\/10.3390\/rs13081557","journal-title":"Remote Sens."},{"key":"4_CR8","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1016\/j.aiepr.2019.04.001","volume":"2","author":"S Zhu","year":"2019","unstructured":"Zhu, S., Chen, H., Wang, M., Guo, X., Lei, Y., Jin, G.: Plastic solid waste identification system based on near infrared spectroscopy in combination with support vector machine. Adv. Ind. Eng. Polym. Res. 2, 77\u201381 (2019). https:\/\/doi.org\/10.1016\/j.aiepr.2019.04.001","journal-title":"Adv. Ind. Eng. Polym. Res."},{"key":"4_CR9","doi-asserted-by":"publisher","unstructured":"Cortesi, I., Masiero, A., De Giglio, M., Tucci, G., Dubbini, M.: Random forest-based river plastic detection with a handheld multispectral camera. Int. Arch. Photogram. Remote Sens. Spatial Inf. Sci. XLIII-B1-2021, 9\u201314 (2021). https:\/\/doi.org\/10.5194\/isprs-archives-XLIII-B1-2021-9-2021","DOI":"10.5194\/isprs-archives-XLIII-B1-2021-9-2021"},{"key":"4_CR10","doi-asserted-by":"publisher","first-page":"135742","DOI":"10.1016\/j.scitotenv.2019.135742","volume":"706","author":"G Gon\u00e7alves","year":"2020","unstructured":"Gon\u00e7alves, G., Andriolo, U., Pinto, L., Bessa, F.: Mapping marine litter using UAS on a beach-dune system: a multidisciplinary approach. Sci. Total. Environ. 706, 135742 (2020). https:\/\/doi.org\/10.1016\/j.scitotenv.2019.135742","journal-title":"Sci. Total. Environ."},{"key":"4_CR11","doi-asserted-by":"publisher","first-page":"111127","DOI":"10.1016\/j.marpolbul.2020.111127","volume":"155","author":"S Kako","year":"2020","unstructured":"Kako, S., Morita, S., Taneda, T.: Estimation of plastic marine debris volumes on beaches using unmanned aerial vehicles and image processing based on deep learning. Mar. Pollut. Bull. 155, 111127 (2020). https:\/\/doi.org\/10.1016\/j.marpolbul.2020.111127","journal-title":"Mar. Pollut. Bull."},{"key":"4_CR12","doi-asserted-by":"publisher","first-page":"112594","DOI":"10.1016\/j.marpolbul.2021.112594","volume":"169","author":"L Pinto","year":"2021","unstructured":"Pinto, L., Andriolo, U., Gon\u00e7alves, G.: Detecting stranded macro-litter categories on drone orthophoto by a multi-class neural network. Mar. Pollut. Bull. 169, 112594 (2021). https:\/\/doi.org\/10.1016\/j.marpolbul.2021.112594","journal-title":"Mar. Pollut. Bull."},{"key":"4_CR13","doi-asserted-by":"publisher","first-page":"114042","DOI":"10.1088\/1748-9326\/abbd01","volume":"15","author":"M Wolf","year":"2020","unstructured":"Wolf, M., et al.: Machine learning for aquatic plastic litter detection, classification and quantification (APLASTIC-Q). Environ. Res. Lett. 15, 114042 (2020). https:\/\/doi.org\/10.1088\/1748-9326\/abbd01","journal-title":"Environ. Res. Lett."},{"key":"4_CR14","doi-asserted-by":"publisher","first-page":"119632","DOI":"10.1016\/j.watres.2023.119632","volume":"231","author":"T Jia","year":"2023","unstructured":"Jia, T., et al.: Deep learning for detecting macroplastic litter in water bodies: a review. Water Res. 231, 119632 (2023). https:\/\/doi.org\/10.1016\/j.watres.2023.119632","journal-title":"Water Res."},{"key":"4_CR15","doi-asserted-by":"publisher","first-page":"1298465","DOI":"10.3389\/frwa.2023.1298465","volume":"5","author":"T Jia","year":"2023","unstructured":"Jia, T., Vallendar, A.J., De Vries, R., Kapelan, Z., Taormina, R.: Advancing deep learning-based detection of floating litter using a novel open dataset. Front. Water. 5, 1298465 (2023). https:\/\/doi.org\/10.3389\/frwa.2023.1298465","journal-title":"Front. Water."},{"key":"4_CR16","volume-title":"Pattern Recognition and Machine Learning","author":"CM Bishop","year":"2006","unstructured":"Bishop, C.M.: Pattern Recognition and Machine Learning. Springer, New York (2006)"},{"key":"4_CR17","doi-asserted-by":"publisher","unstructured":"Sperandei, S.: Understanding logistic regression analysis. Biochem. Med. 24, 12\u201318 (2014). https:\/\/doi.org\/10.11613\/BM.2014.003","DOI":"10.11613\/BM.2014.003"},{"key":"4_CR18","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1007\/BF00994018","volume":"20","author":"C Cortes","year":"1995","unstructured":"Cortes, C., Vapnik, V.: Support-vector networks. Mach. Learn. 20, 273\u2013297 (1995). https:\/\/doi.org\/10.1007\/BF00994018","journal-title":"Mach. Learn."},{"key":"4_CR19","unstructured":"Quinlan, J.R.: C4.5: Programs for Machine Learning. Elsevier (2014)"},{"key":"4_CR20","doi-asserted-by":"publisher","unstructured":"Tholen, C., Wolf, M.: On the development of a candidate selection system for automated plastic waste detection using airborne based remote sensing. In: Bramer, M. and Stahl, F. (eds.) Artificial Intelligence XL, pp. 506\u2013512. Springer, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-47994-6_45","DOI":"10.1007\/978-3-031-47994-6_45"},{"key":"4_CR21","unstructured":"MicaSense Inc.: Altum Integration Guide. https:\/\/support.micasense.com\/hc\/en-us\/articles\/360010025413-Altum-Integration-Guide. Accessed 31 May 2024"},{"key":"4_CR22","unstructured":"Pix4D: PIX4Dmapper: Professional photogrammetry software for drone mapping. https:\/\/www.pix4d.com\/product\/pix4dmapper-photogrammetry-software. Accessed 04 July 2024"},{"key":"4_CR23","unstructured":"CVAT. https:\/\/www.cvat.ai\/. Accessed 04 July 2024"},{"key":"4_CR24","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1016\/S0003-2670(98)00012-9","volume":"361","author":"WHAM Van Den Broek","year":"1998","unstructured":"Van Den Broek, W.H.A.M., Wienke, D., Melssen, W.J., Buydens, L.M.C.: Plastic material identification with spectroscopic near infrared imaging and artificial neural networks. Anal. Chim. Acta 361, 161\u2013176 (1998). https:\/\/doi.org\/10.1016\/S0003-2670(98)00012-9","journal-title":"Anal. Chim. Acta"},{"key":"4_CR25","doi-asserted-by":"publisher","unstructured":"Berthold, M.R., et al.: KNIME - the Konstanz information miner: version 2.0 and beyond. SIGKDD Explor. Newsl. 11, 26\u201331 (2009). https:\/\/doi.org\/10.1145\/1656274.1656280","DOI":"10.1145\/1656274.1656280"},{"key":"4_CR26","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1016\/j.jbiotec.2017.07.028","volume":"261","author":"A Fillbrunn","year":"2017","unstructured":"Fillbrunn, A., Dietz, C., Pfeuffer, J., Rahn, R., Landrum, G.A., Berthold, M.R.: KNIME for reproducible cross-domain analysis of life science data. J. Biotechnol. 261, 149\u2013156 (2017). https:\/\/doi.org\/10.1016\/j.jbiotec.2017.07.028","journal-title":"J. Biotechnol."},{"key":"4_CR27","doi-asserted-by":"publisher","unstructured":"Feurer, M., Hutter, F.: Hyperparameter optimization. In: Hutter, F., Kotthoff, L., Vanschoren, J. (eds.) Automated Machine Learning: Methods, Systems, Challenges, pp. 3\u201333. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-05318-5_1","DOI":"10.1007\/978-3-030-05318-5_1"},{"key":"4_CR28","unstructured":"PyTorch. https:\/\/pytorch.org\/. Accessed 04 July 2024"},{"key":"4_CR29","unstructured":"Bergstra, J., Bardenet, R., Bengio, Y., K\u00e9gl, B.: Algorithms for hyper-parameter optimization. In: Shawe-Taylor, J., Zemel, R., Bartlett, P., Pereira, F., and Weinberger, K.Q. (eds.) Advances in Neural Information Processing Systems. Curran Associates, Inc. (2011)"},{"key":"4_CR30","unstructured":"Lundberg, S.M., Lee, S.-I.: A unified approach to interpreting model predictions. In: Proceedings of the 31st International Conference on Neural Information Processing Systems, pp. 4768\u20134777. Curran Associates Inc., Red Hook (2017)"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence XLI"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-77915-2_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,28]],"date-time":"2024-11-28T12:10:22Z","timestamp":1732795822000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-77915-2_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,29]]},"ISBN":["9783031779145","9783031779152"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-77915-2_4","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,11,29]]},"assertion":[{"value":"29 November 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SGAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Innovative Techniques and Applications of Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cambridge","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"44","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"sgai2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/bcs-sgai.org\/ai2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}