{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T10:38:49Z","timestamp":1743071929419,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030698720"},{"type":"electronic","value":"9783030698737"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","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":[[2021]]},"DOI":"10.1007\/978-3-030-69873-7_5","type":"book-chapter","created":{"date-parts":[[2021,2,27]],"date-time":"2021-02-27T14:03:28Z","timestamp":1614434608000},"page":"60-71","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Environment Classification for Global Navigation Satellite Systems Using\u00a0Attention-Based Recurrent Neural Networks"],"prefix":"10.1007","author":[{"given":"Haichun","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Minmin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ling","family":"Pei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lanzhen","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Changchun","family":"Pan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zeya","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,2,28]]},"reference":[{"key":"5_CR1","first-page":"214","volume":"12","author":"J Yanbang","year":"2013","unstructured":"Yanbang, J., Caixia, Z.: Development of GNSS and Its application. Value Eng. 12, 214\u2013215 (2013)","journal-title":"Value Eng."},{"key":"5_CR2","first-page":"22","volume":"04","author":"C Chong","year":"2010","unstructured":"Chong, C.: The latest trends and development trends of global satellite navigation systems. Satell. Netw. 04, 22\u201325 (2010)","journal-title":"Satell. Netw."},{"key":"5_CR3","first-page":"59","volume":"3","author":"H Xiao","year":"2009","unstructured":"Xiao, H., Wei, G., Benyu, L.: Research on GNSS Navigation Technology. GNSS World of China 3, 59\u201362 (2009)","journal-title":"GNSS World of China"},{"key":"5_CR4","volume-title":"Global Positioning System: Signals, Measurements, and Performance","author":"P Misra","year":"2006","unstructured":"Misra, P., Enge, P.: Global Positioning System: Signals, Measurements, and Performance, 2nd edn. Ganga-Jamuna Press, Lincoln (2006)","edition":"2"},{"issue":"1","key":"5_CR5","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1080\/10020070512331341750","volume":"15","author":"R Chao","year":"2005","unstructured":"Chao, R., Jikun, O., Yunbin, Y.: Application of adaptive filtering by selecting the parameter weight factor in precise kinematic GPS positioning. Prog. Nat. Sci. 15(1), 41\u201346 (2005)","journal-title":"Prog. Nat. Sci."},{"issue":"2","key":"5_CR6","doi-asserted-by":"publisher","first-page":"476","DOI":"10.1109\/TITS.2010.2095499","volume":"12","author":"I Tang","year":"2011","unstructured":"Tang, I., Breckon, T.P.: Automatic road environment classification. IEEE Trans. Intell. Transp. Syst. 12(2), 476\u2013484 (2011)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"5_CR7","unstructured":"Gurtner W, Estey L.: RINEX \u2010 the receiver independent exchange format \u2010 Version 3.00, Astronomical Institute, University of Bern and UNAVCO, Boulder, CO (2007)"},{"key":"5_CR8","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1002\/navi.221","volume":"65","author":"H Gao","year":"2007","unstructured":"Gao, H., Groves, P.D.: Environmental context detection for adaptive navigation using GNSS measurements from a smartphone. Navigation 65, 99\u2013116 (2007)","journal-title":"Navigation"},{"issue":"3","key":"5_CR9","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1109\/TIV.2017.2737325","volume":"2","author":"LT Hsu","year":"2017","unstructured":"Hsu, L.T., Gu, Y., Kamijo, S.: Intelligent viaduct recognition and driving altitude determination using GPS data. IEEE Trans Intell Veh 2(3), 175\u2013184 (2017)","journal-title":"IEEE Trans Intell Veh"},{"key":"5_CR10","unstructured":"Lighari, R.U.R., Berg, M., Salonen, E.T., et al.: Classification of GNSS SNR data for different environments and satellite orbital information. In: European Conference on Antennas & Propagation, Paris, France. IEEE (2017)"},{"key":"5_CR11","doi-asserted-by":"crossref","unstructured":"Munin, E., Blais, A., Couellan, N.: Convolutional neural network for multipath detection in GNSS receivers. arXiv preprint arXiv:1911.02347 (2019)","DOI":"10.1109\/AIDA-AT48540.2020.9049188"},{"key":"5_CR12","unstructured":"Yuze, W., Peilin, L., Qiang, L., et al.: Urban environment recognition based on the GNSS signal characteristics. J. Znstitute of Navig. 1\u201315 (2019)"},{"issue":"8","key":"5_CR13","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"key":"5_CR14","unstructured":"Kyunghyun, C., Bart van, B., Caglar, G., et al.: Learning phrase representations using RNN encoder-decoder for statistical machine translation. arXiv preprint  arXiv:1406.1078. EMNLP 2014 (2014)"},{"key":"5_CR15","unstructured":"Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473 (2014)"},{"key":"5_CR16","unstructured":"Vaswani, A., Shazeer, N., Parmar, N., et al.: Attention is all you need. In: 31st Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA, USA (2017)"},{"key":"5_CR17","doi-asserted-by":"crossref","unstructured":"Anderson, P., et al.: Bottom-up and top-down attention for image captioning and visual question answering. arXiv preprint arXiv:1707.07998 (2017)","DOI":"10.1109\/CVPR.2018.00636"},{"key":"5_CR18","unstructured":"Ioffe, S., Szegedy, C.: Batch normalization: accelerating deep network training by reducing internal covariate shift. International Conference on International Conference on Machine Learning, pp. 448\u2013456. JMLR.org (2015)"},{"issue":"4","key":"5_CR19","first-page":"212","volume":"3","author":"GE Hinton","year":"2012","unstructured":"Hinton, G.E., Srivastava, N., Krizhevsky, A., et al.: Improving neural networks by preventing co-adaptation of feature detectors. Comput. Sci. 3(4), 212\u2013223 (2012)","journal-title":"Comput. Sci."},{"key":"5_CR20","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)"}],"container-title":["Lecture Notes in Computer Science","Spatial Data and Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-69873-7_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,2,27]],"date-time":"2021-02-27T14:07:08Z","timestamp":1614434828000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-69873-7_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030698720","9783030698737"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-69873-7_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"28 February 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SpatialDI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Spatial Data and Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 May 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 May 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"spatialdi2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/geospatial.szu.edu.cn\/notice_details?id=51","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":"50","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":"21","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":"42% - 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":"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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}