{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T03:52:13Z","timestamp":1768621933540,"version":"3.49.0"},"publisher-location":"Cham","reference-count":12,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031236051","type":"print"},{"value":"9783031236068","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1007\/978-3-031-23606-8_24","type":"book-chapter","created":{"date-parts":[[2023,1,17]],"date-time":"2023-01-17T11:05:14Z","timestamp":1673953514000},"page":"384-397","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Patterns and\u00a0Predictions: Generative Adversarial Networks for\u00a0Neighborhood Generation"],"prefix":"10.1007","author":[{"given":"Abigail R.","family":"Wheelis","sequence":"first","affiliation":[]},{"given":"Levi T.","family":"Sweet-Breu","sequence":"additional","affiliation":[]},{"given":"Melissa R.","family":"Allen-Dumas","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,1,18]]},"reference":[{"issue":"1","key":"24_CR1","volume":"1","author":"A Aggarwal","year":"2021","unstructured":"Aggarwal, A., Mittal, M., Battineni, G.: Generative adversarial network: an overview of theory and applications. Int. J. Inf. Manag. Data Insights 1(1), 100004 (2021)","journal-title":"Int. J. Inf. Manag. Data Insights"},{"key":"24_CR2","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.cviu.2018.10.009","volume":"179","author":"A Borji","year":"2019","unstructured":"Borji, A.: Pros and cons of GAN evaluation measures. Comput. Vis. Image Underst. 179, 41\u201365 (2019)","journal-title":"Comput. Vis. Image Underst."},{"key":"24_CR3","doi-asserted-by":"publisher","unstructured":"Dewitz, J.: National land cover database (NLCD) 2019 products. Data release (ver. 2.0, June 2021), U.S. Geological Survey (2021). https:\/\/doi.org\/10.5066\/P9KZCM54","DOI":"10.5066\/P9KZCM54"},{"key":"24_CR4","unstructured":"Fedorova, S.: GANs for urban design. CoRR, abs\/2105.01727 (2021)"},{"key":"24_CR5","unstructured":"Godoy, D.: Understanding binary cross-entropy\/log loss: a visual explanation (2018). https:\/\/towardsdatascience.com\/understanding-binary-cross-entropy-log-loss-a-visual-explanation-a3ac6025181a"},{"key":"24_CR6","unstructured":"Goodfellow, I.J., et al.: Generative adversarial networks (2014)"},{"key":"24_CR7","doi-asserted-by":"crossref","unstructured":"Isola, P., Zhu, J.-Y., Zhou, T., Efros, A.A.: Image-to-image translation with conditional adversarial networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1125\u20131134 (2017)","DOI":"10.1109\/CVPR.2017.632"},{"key":"24_CR8","unstructured":"Karim, R.: Intuitions on L1 and L2 regularisation: explaining how L1 and L2 work using gradient descent (2018). https:\/\/towardsdatascience.com\/intuitions-on-l1-and-l2-regularisation-235f2db4c261"},{"key":"24_CR9","doi-asserted-by":"publisher","unstructured":"New, J., Adams, M., Berres, A., Bass, B., Clinton, N.: Model America-data and models of every us building. Technical report, Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States) (2021). https:\/\/doi.org\/10.13139\/ORNLNCCS\/1774134","DOI":"10.13139\/ORNLNCCS\/1774134"},{"key":"24_CR10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-32083-0","volume-title":"Urban Morphology: An Introduction to the Study of the Physical form of Cities","author":"V Oliveira","year":"2016","unstructured":"Oliveira, V.: Urban Morphology: An Introduction to the Study of the Physical form of Cities. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-32083-0"},{"key":"24_CR11","unstructured":"Sharma, A.: Pix2Pix: image-to-image translation in pytorch & tensorflow, October 2021. https:\/\/learnopencv.com\/paired-image-to-image-translation-pix2pix\/"},{"key":"24_CR12","unstructured":"Xu, C., Zhao, B.: Satellite image spoofing: creating remote sensing dataset with generative adversarial networks (short paper). In: Winter, S., Griffin, A., Sester, M. (eds.) 10th International Conference on Geographic Information Science (GIScience 2018). Leibniz International Proceedings in Informatics (LIPIcs), vol. 114, pp. 67:1\u201367:6, Dagstuhl, Germany. Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik (2018)"}],"container-title":["Communications in Computer and Information Science","Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-23606-8_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,17]],"date-time":"2023-01-17T11:17:23Z","timestamp":1673954243000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-23606-8_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031236051","9783031236068"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-23606-8_24","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"18 January 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SMC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Smoky Mountains Computational Sciences and Engineering Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kingsport, TN","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 August 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 August 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"smc2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/smc2022.ornl.gov\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-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":"74","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":"24","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":"0","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":"3","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)"}}]}}