{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T03:18:38Z","timestamp":1784258318325,"version":"3.55.0"},"reference-count":24,"publisher":"Wiley","license":[{"start":{"date-parts":[[2018,6,6]],"date-time":"2018-06-06T00:00:00Z","timestamp":1528243200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"crossref","award":["2042017kf0211"],"award-info":[{"award-number":["2042017kf0211"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"crossref","award":["2016YFB0502601"],"award-info":[{"award-number":["2016YFB0502601"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"crossref","award":["2042017kf0211"],"award-info":[{"award-number":["2042017kf0211"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"crossref","award":["2016YFB0502601"],"award-info":[{"award-number":["2016YFB0502601"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Sensors"],"published-print":{"date-parts":[[2018,6,6]]},"abstract":"<jats:p>Landslides endanger regular industrial production and human safety. Displacement trend analysis gives us an explicit way to observe and forecast landslides. Although satellite-borne remote sensing methods such as synthetic aperture radar have gradually replaced manual measurement in detecting deformation trends, they fail to observe displacement in a north-south direction. Wireless low-cost GPS sensors have been developed to assist remote sensing methods in north-south deformation monitoring because of their high temporal resolution and wide usage. In our paper, a DLM-LSTM framework is developed to extract and predict north-south land deformation trends from meter accuracy GPS receivers. A dynamic linear model is introduced to model the relation between measurement and the state vector, including the trend, periodic variation, and autoregressive factors in a discontinuous low-cost latitude time series. The deformation trend with submeter-level accuracy is extracted by a Kalman filter and smoother. With validated input as in previous work, the power of an LSTM network is also shown in its ability to predict deformation trends in submeter-level accuracy. A submeter-level deformation trend is detected from wireless low-cost GPS sensors with meter-level navigation error. The framework will have broad application prospects in geological disaster monitoring.<\/jats:p>","DOI":"10.1155\/2018\/3054295","type":"journal-article","created":{"date-parts":[[2018,6,6]],"date-time":"2018-06-06T19:30:50Z","timestamp":1528313450000},"page":"1-11","source":"Crossref","is-referenced-by-count":7,"title":["A DLM-LSTM Framework for North-South Land Deformation Trend Analysis from Low-Cost GPS Sensor Time Series"],"prefix":"10.1155","volume":"2018","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1490-0347","authenticated-orcid":true,"given":"Fangling","family":"Pu","sequence":"first","affiliation":[{"name":"School of Electronic Information, Wuhan University, Wuhan, Hubei 430072, China"},{"name":"Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, Hubei 430079, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhaozhuo","family":"Xu","sequence":"additional","affiliation":[{"name":"Electrical Engineering Department, Stanford University, Palo Alto, CA 94305, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongyu","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Electronic Information, Wuhan University, Wuhan, Hubei 430072, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Electronic Information, Wuhan University, Wuhan, Hubei 430072, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3521-9972","authenticated-orcid":true,"given":"Nengcheng","family":"Chen","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, Hubei 430079, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1130\/G33217.1"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1016\/j.enggeo.2015.08.011"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1126\/science.1098821"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1007\/s11069-015-2110-2"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1007\/s12517-014-1560-2"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1016\/0166-5162(90)90004-I"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1007\/s10346-005-0003-2"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.3390\/rs5083681"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1007\/s10346-014-0522-9"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-09057-3_12"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.3390\/rs5031045"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1080\/17445647.2012.743440"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.3390\/rs70912440"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.3390\/s151027215"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1002\/stc.1532"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.3390\/s131115307"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1016\/S1003-6326(14)63555-X"},{"key":"21","doi-asserted-by":"publisher","DOI":"10.1007\/s00603-015-0755-5"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)NH.1527-6996.0000179"},{"key":"24","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(02)00219-8"},{"key":"25","doi-asserted-by":"publisher","DOI":"10.5194\/acp-14-9707-2014"},{"key":"26","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2016.2535350"},{"key":"27","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-7865-3_6"},{"key":"28","doi-asserted-by":"publisher","DOI":"10.3390\/s150202565"}],"container-title":["Journal of Sensors"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2018\/3054295.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2018\/3054295.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2018\/3054295.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,19]],"date-time":"2020-05-19T13:03:42Z","timestamp":1589893422000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/js\/2018\/3054295\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6,6]]},"references-count":24,"alternative-id":["3054295","3054295"],"URL":"https:\/\/doi.org\/10.1155\/2018\/3054295","relation":{},"ISSN":["1687-725X","1687-7268"],"issn-type":[{"value":"1687-725X","type":"print"},{"value":"1687-7268","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,6,6]]}}}