{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T13:39:49Z","timestamp":1743082789216,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030042110"},{"type":"electronic","value":"9783030042127"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-04212-7_59","type":"book-chapter","created":{"date-parts":[[2018,11,16]],"date-time":"2018-11-16T12:01:33Z","timestamp":1542369693000},"page":"671-683","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Complex Conditional Generative Adversarial Nets for Multiple Objectives Detection in Aerial Images"],"prefix":"10.1007","author":[{"given":"Dan","family":"Popescu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Loretta","family":"Ichim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrei","family":"Docea","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,11,17]]},"reference":[{"key":"59_CR1","doi-asserted-by":"publisher","first-page":"959","DOI":"10.1007\/s11069-015-1633-x","volume":"77","author":"F Yulianto","year":"2015","unstructured":"Yulianto, F., Sofan, P., Zubaidah, A., Sukowati, K.A.D., Pasaribu, J.M., Khomarudin, M.R.: Detecting areas affected by flood using multi-temporal ALOS PALSAR remotely sensed data in Karawang, West Java. Indonesia. Nat. Hazards 77, 959\u2013985 (2015)","journal-title":"Indonesia. Nat. Hazards"},{"key":"59_CR2","doi-asserted-by":"crossref","unstructured":"Pentari, A., Moirogiorgou, K., Livanos, G., Iliopoulou, D., Zervakis, M.: Feature analysis on river flow video data for floating tracers detection. In: Proceedings of the IEEE International Conference on Imaging Systems and Techniques (IST), 14\u201317 Octover, Santorini Island, Greece, pp. 287\u2013292 (2014)","DOI":"10.1109\/IST.2014.6958490"},{"key":"59_CR3","first-page":"261","volume":"8","author":"JN Lee","year":"2014","unstructured":"Lee, J.N., Kwak, K.C.: A trends analysis of image processing in unmanned aerial vehicle. Int. J. Comput. Inf. Sci. Eng. 8, 261\u2013264 (2014)","journal-title":"Int. J. Comput. Inf. Sci. Eng."},{"issue":"3","key":"59_CR4","doi-asserted-by":"publisher","first-page":"446","DOI":"10.3390\/s17030446","volume":"17","author":"D Popescu","year":"2017","unstructured":"Popescu, D., Ichim, L., Stoican, F.: Unmanned aerial vehicle systems for remote estimation of flooded areas based on complex image processing. Sensors 17(3), 446 (2017)","journal-title":"Sensors"},{"key":"59_CR5","doi-asserted-by":"crossref","unstructured":"Popescu, D., Ichim, L.: Aerial image segmentation by use of textural features. In: 20th International Conference on System Theory, Control and Computing (ICSTCC), 13\u201315 October, Sinaia, Romania, pp. 721\u2013726 (2016)","DOI":"10.1109\/ICSTCC.2016.7790752"},{"key":"59_CR6","doi-asserted-by":"crossref","unstructured":"Strigl, D., Kofler, K., Podlipnig, S.: Performance and scalability of GPU-based convolutional neural networks. In: 18th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), 17\u201319 February, Pisa, Italy, pp. 1\u20138 (2010)","DOI":"10.1109\/PDP.2010.43"},{"key":"59_CR7","unstructured":"Goodfellow, I.J., et al.: Generative Adversarial Networks. arXiv:1406.2661v1 (2014)"},{"key":"59_CR8","doi-asserted-by":"crossref","unstructured":"Isola, P., Zhu, J.-Y., Zhou, T., Efros A.A.: Image-to-image translation with Conditional Adversarial Networks. arXiv:1611.07004v1 (2016)","DOI":"10.1109\/CVPR.2017.632"},{"key":"59_CR9","unstructured":"Mirza, M., Osindero, S.: Conditional Generative Adversarial nets. arXiv:1411.1784v1 (2014)"},{"key":"59_CR10","doi-asserted-by":"crossref","unstructured":"Kataoka, Y., Matsubara, T., Uehara, K.: Image generation using Generative Adversarial Networks and attention mechanism. In: IEEE\/ACIS 15th International Conference on Computer and Information Science (ICIS), 26\u201329 June, Okayama, Japan (2016)","DOI":"10.1109\/ICIS.2016.7550880"},{"key":"59_CR11","unstructured":"Kohl, S., et al.: Adversarial Networks for the detection of aggressive prostate cancer. arXiv:1702.08014v1 (2017)"},{"key":"59_CR12","doi-asserted-by":"crossref","unstructured":"Wolterink, J.M., Leiner, T., Viergever, M.A., Isgum, I.: Generative Adversarial Networks for noise reduction in low-dose CT. IEEE Trans. Med. Imaging PP(99) (2017)","DOI":"10.1109\/TMI.2017.2708987"},{"key":"59_CR13","doi-asserted-by":"crossref","unstructured":"Tachibana, R., Matsubara,T., Uehara, K.: Semi-supervised learning using adversarial networks. In: IEEE\/ACIS 15th International Conference on Computer and Information Science (ICIS), 26\u201329 June, Okayama, Japan (2016)","DOI":"10.1109\/ICIS.2016.7550881"},{"key":"59_CR14","doi-asserted-by":"crossref","unstructured":"Yazdani, M.: RemixNet: generative adversarial networks for mixing multiple inputs. In: Semantic Computing (ICSC), 30 January\u20131 February (2017)","DOI":"10.1109\/ICSC.2017.99"},{"key":"59_CR15","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. In: 3rd International Conference for Learning Representations, San Diego, pp. 1\u201315 (2015)"},{"key":"59_CR16","doi-asserted-by":"crossref","unstructured":"Sumalan, A.L., Popescu, D., Ichim, L.: Flood evaluation in critical areas by UAV. In: 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 30 June\u20132 July, pp. 1\u20136 (2016)","DOI":"10.1109\/ECAI.2016.7861118"},{"key":"59_CR17","first-page":"234","volume-title":"Lecture Notes in Computer Science","author":"Olaf Ronneberger","year":"2015","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-net: Convolutional networks for biomedical image segmentation. In: MIC-CAI, pp. 234\u2013241 (2015)"},{"key":"59_CR18","unstructured":"Torch | Scientific computing for LuaJIT. http:\/\/torch.ch\/"},{"key":"59_CR19","unstructured":"Documentation - Our Documentation. https:\/\/www.python.org\/doc\/"},{"key":"59_CR20","unstructured":"NumPy \u2014 NumPy. http:\/\/www.numpy.org\/"}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-04212-7_59","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T17:13:18Z","timestamp":1710263598000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-04212-7_59"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030042110","9783030042127"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-04212-7_59","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"17 November 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICONIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Siem Reap","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cambodia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 December 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 December 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconip2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conference.cs.cityu.edu.hk\/iconip\/","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":"575","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":"401","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":"70% - 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":"4","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":"6","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}