{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T01:06:57Z","timestamp":1743037617606,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031438141"},{"type":"electronic","value":"9783031438158"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-43815-8_17","type":"book-chapter","created":{"date-parts":[[2023,9,17]],"date-time":"2023-09-17T10:01:39Z","timestamp":1694944899000},"page":"174-180","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Deeping Learning Based Framework and System for Effective Land Use Mapping"],"prefix":"10.1007","author":[{"given":"Xiaojin","family":"Liao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaodi","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weidong","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,9,18]]},"reference":[{"key":"17_CR1","doi-asserted-by":"crossref","unstructured":"Eldawy, A., Niu, L., Haynes, D., Su, Z.: Large scale analytics of vector+raster big spatial data. Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp. 1\u20134 (2017)","DOI":"10.1145\/3139958.3140042"},{"key":"17_CR2","doi-asserted-by":"crossref","unstructured":"Alkathiri, M., Jhummarwala, A., Potdar, M.B.: Multi-dimensional geospatial data mining in a distributed environment using MapReduce. J. Big Data 6 (2019)","DOI":"10.1186\/s40537-019-0245-9"},{"key":"17_CR3","unstructured":"Department of Science, Information Technology and Innovation (DSITI): DSITI89267 Building Machine Learning Capability: Land Use Mapping Request for quote (2017)"},{"key":"17_CR4","doi-asserted-by":"publisher","first-page":"2217","DOI":"10.1109\/JSTARS.2019.2918242","volume":"12","author":"P Helber","year":"2019","unstructured":"Helber, P., Bischke, B., Dengel, A., Borth, D.: Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification. IEEE J. Select. Top. Appl. Earth Obs. Remote Sens. 12, 2217\u20132226 (2019)","journal-title":"IEEE J. Select. Top. Appl. Earth Obs. Remote Sens."},{"key":"17_CR5","doi-asserted-by":"crossref","unstructured":"Sumbul, G., Charfuelan, M., Demir, B., Markl, V.: Bigearthnet: A large-scale benchmark archive for remote sensing image understanding. In: IGARSS 2019\u20132019 IEEE International Geoscience and Remote Sensing Symposium, pp. 5901\u20135904. IEEE (2019)","DOI":"10.1109\/IGARSS.2019.8900532"},{"key":"17_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.cola.2019.100908","volume":"54","author":"X Liao","year":"2019","unstructured":"Liao, X., Huang, X., Huang, W.: ML-LUM: a system for land use mapping by machine learning algorithms. J. Comput. Lang. 54, 100908 (2019)","journal-title":"J. Comput. Lang."},{"key":"17_CR7","unstructured":"Geirhos, R., Rubisch, P., Michaelis, C., Bethge, M., Wichmann, F.A., Brendel, W.: ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness. arXiv preprint arXiv:1811.12231 (2018)"},{"key":"17_CR8","unstructured":"Sabour, S., Frosst, N., Hinton, G.E.: Dynamic routing between capsules. Adv. Neural Inf. Process. Syst. 30, 3859\u20133869 (2017)"},{"key":"17_CR9","unstructured":"McMahan, B., Moore, E., Ramage, D., Hampson, S., Arcas, B.A.: Communication-efficient learning of deep networks from decentralized data. Artif. Intell. Stat. 1273\u20131282 (2017)"},{"key":"17_CR10","unstructured":"Kone\u010dn\u00fd, J., McMahan, H.B., Yu, F.X., Richt\u00e1rik, P., Suresh, A.T., Bacon, D.: Federated learning: strategies for improving communication efficiency. arXiv preprint arXiv:1610.05492 (2016)"},{"key":"17_CR11","doi-asserted-by":"publisher","first-page":"2674","DOI":"10.1109\/TVCG.2018.2843369","volume":"25","author":"F Hohman","year":"2018","unstructured":"Hohman, F., Kahng, M., Pienta, R., Chau, D.H.: Visual analytics in deep learning: an interrogative survey for the next frontiers. IEEE Trans. Visual Comput. Graph. 25, 2674\u20132693 (2018)","journal-title":"IEEE Trans. Visual Comput. Graph."},{"key":"17_CR12","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1016\/j.visinf.2018.09.001","volume":"2","author":"R Yu","year":"2018","unstructured":"Yu, R., Shi, L.: A user-based taxonomy for deep learning visualization. Vis. Inform. 2, 147\u2013154 (2018)","journal-title":"Vis. Inform."},{"key":"17_CR13","unstructured":"Yosinski, J., Clune, J., Nguyen, A., Fuchs, T., Lipson, H.: Understanding neural networks through deep visualization. arXiv preprint arXiv:1506.06579 (2015)"},{"key":"17_CR14","doi-asserted-by":"crossref","unstructured":"Wieland, M., Pittore, M.: Performance evaluation of machine learning algorithms for urban pattern recognition from multi-spectral satellite images. Remote Sens. 6, 2912\u20132939 (2014)","DOI":"10.3390\/rs6042912"}],"container-title":["Lecture Notes in Computer Science","Cooperative Design, Visualization, and Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-43815-8_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,23]],"date-time":"2023-09-23T23:03:24Z","timestamp":1695510204000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-43815-8_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031438141","9783031438158"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-43815-8_17","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"18 September 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CDVE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Cooperative Design, Visualization and Engineering","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Mallorca","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":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 October 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 October 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cdve2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"62","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"20","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"6","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"32% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}