{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,4]],"date-time":"2025-06-04T14:48:39Z","timestamp":1749048519985,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031585463"},{"type":"electronic","value":"9783031585470"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-58547-0_13","type":"book-chapter","created":{"date-parts":[[2024,4,15]],"date-time":"2024-04-15T19:02:10Z","timestamp":1713207730000},"page":"155-166","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Super-Resolution Analysis for\u00a0Landfill Waste Classification"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8799-6725","authenticated-orcid":false,"given":"Mat\u00edas","family":"Molina","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6852-8077","authenticated-orcid":false,"given":"Rita P.","family":"Ribeiro","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7980-0972","authenticated-orcid":false,"given":"Bruno","family":"Veloso","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3357-1195","authenticated-orcid":false,"given":"Jo\u00e3o","family":"Gama","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,4,16]]},"reference":[{"key":"13_CR1","unstructured":"ESA: Earth observation finds a role in environmental treaties. https:\/\/www.esa.int\/Applications\/Observing_the_Earth\/Earth_observation_finds_a_role_in_environmental_treaties. Accessed Nov 2023"},{"key":"13_CR2","unstructured":"ESA: Satellite technology to help fight crime. https:\/\/www.esa.int\/Enabling_Support\/Preparing_for_the_Future\/Space_for_Earth\/Satellite_technology_to_help_fight_crime. Accessed Nov 2023"},{"key":"13_CR3","unstructured":"Europol: Environmental crime in the age of climate change, threat assessment 2022 (2022). https:\/\/www.europol.europa.eu\/publications-events\/publications\/environmental-crime-in-age-of-climate-change-2022-threat-assessment. Accessed Nov 2023"},{"key":"13_CR4","unstructured":"Abdukhamet, S.: Landfill detection in satellite images using deep learning. Shanghai Jiao Tong University Shanghai, Shanghai, China (2019)"},{"key":"13_CR5","doi-asserted-by":"crossref","unstructured":"Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., Fei-Fei, L.: Imagenet: a large-scale hierarchical image database. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp. 248\u2013255. IEEE (2009)","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"13_CR6","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"13_CR7","doi-asserted-by":"crossref","unstructured":"Huang, G., Liu, Z., Van Der\u00a0Maaten, L., Weinberger, K.Q.: Densely connected convolutional networks. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 4700\u20134708 (2017)","DOI":"10.1109\/CVPR.2017.243"},{"key":"13_CR8","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: Pereira, F., Burges, C.J., Bottou, L., Weinberger, K.Q. (eds.) Advances in Neural Information Processing Systems, vol. 25. Curran Associates, Inc. (2012)"},{"key":"13_CR9","doi-asserted-by":"crossref","unstructured":"Ledig, C., et\u00a0al.: Photo-realistic single image super-resolution using a generative adversarial network. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 4681\u20134690 (2017)","DOI":"10.1109\/CVPR.2017.19"},{"key":"13_CR10","doi-asserted-by":"crossref","unstructured":"Lim, B., Son, S., Kim, H., Nah, S., Lee, K.M.: Enhanced deep residual networks for single image super-resolution. In: IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 136\u2013144 (2017)","DOI":"10.1109\/CVPRW.2017.151"},{"key":"13_CR11","doi-asserted-by":"crossref","unstructured":"Lin, T.-Y., Doll\u00e1r, P., Girshick, R., He, K., Hariharan, B., Belongie, S.: Feature pyramid networks for object detection. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 2117\u20132125 (2017)","DOI":"10.1109\/CVPR.2017.106"},{"key":"13_CR12","doi-asserted-by":"crossref","unstructured":"Lin, T.-Y., Goyal, P., Girshick, R., He, K., Doll\u00e1r, P.: Focal loss for dense object detection. In: IEEE International Conference on Computer Vision, pp. 2980\u20132988 (2017)","DOI":"10.1109\/ICCV.2017.324"},{"issue":"16","key":"13_CR13","doi-asserted-by":"publisher","first-page":"3923","DOI":"10.3390\/rs14163923","volume":"14","author":"A Mager","year":"2022","unstructured":"Mager, A., Blass, V.: From illegal waste dumps to beneficial resources using drone technology and advanced data analysis tools: a feasibility study. Remote Sens. 14(16), 3923 (2022)","journal-title":"Remote Sens."},{"key":"13_CR14","doi-asserted-by":"crossref","unstructured":"Nasrollahi, K., Moeslund, T.B.: Super-resolution: a comprehensive survey. Mach. Vision Appl. 25, 1423\u20131468 (2014)","DOI":"10.1007\/s00138-014-0623-4"},{"key":"13_CR15","doi-asserted-by":"crossref","unstructured":"Rodr\u00edguez-Robles, D., Garc\u00eda-Gonz\u00e1lez, J., Juan-Vald\u00e9s, A., Mor\u00e1n-del Pozo, J.M., Guerra-Romero, M.I.: Overview regarding construction and demolition waste in Spain. Environm. Technol. 36(23), 3060\u20133070 (2015)","DOI":"10.1080\/09593330.2014.957247"},{"key":"13_CR16","doi-asserted-by":"crossref","unstructured":"Torres, R.N., Fraternali, P.: Learning to identify illegal landfills through scene classification in aerial images. Remote Sens. 13(22) (2021)","DOI":"10.3390\/rs13224520"},{"issue":"1","key":"13_CR17","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1038\/s41597-023-01976-9","volume":"10","author":"Rocio Nahime Torres and Piero Fraternali","year":"2023","unstructured":"Rocio Nahime Torres and Piero Fraternali: Aerialwaste dataset for landfill discovery in aerial and satellite images. Sci. Data 10(1), 63 (2023)","journal-title":"Sci. Data"}],"container-title":["Lecture Notes in Computer Science","Advances in Intelligent Data Analysis XXII"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-58547-0_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,15]],"date-time":"2024-04-15T19:03:47Z","timestamp":1713207827000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-58547-0_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031585463","9783031585470"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-58547-0_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"16 April 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IDA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Intelligent Data Analysis","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Stockholm","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sweden","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":"24 April 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 April 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ida2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ida2024.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}