{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,3]],"date-time":"2024-08-03T04:33:33Z","timestamp":1722659613757},"reference-count":32,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"funder":[{"name":"Algerian Ministry of Higher Education and Scientific Research"},{"name":"French Space Study Center"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Applied Earth Observation and Geoinformation"],"published-print":{"date-parts":[[2019,2]]},"DOI":"10.1016\/j.jag.2018.07.014","type":"journal-article","created":{"date-parts":[[2018,9,17]],"date-time":"2018-09-17T17:30:05Z","timestamp":1537205405000},"page":"103-119","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":13,"special_numbering":"C","title":["Detection of spatio-temporal evolutions on multi-annual satellite image time series: A clustering based approach"],"prefix":"10.1016","volume":"74","author":[{"given":"Lynda","family":"Khiali","sequence":"first","affiliation":[]},{"given":"Mamoudou","family":"Ndiath","sequence":"additional","affiliation":[]},{"given":"Samuel","family":"Alleaume","sequence":"additional","affiliation":[]},{"given":"Dino","family":"Ienco","sequence":"additional","affiliation":[]},{"given":"Kenji","family":"Ose","sequence":"additional","affiliation":[]},{"given":"Maguelonne","family":"Teisseire","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.jag.2018.07.014_bib0005","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1016\/j.isprsjprs.2009.06.004","article-title":"Object based image analysis for remote sensing","volume":"65","author":"Blaschke","year":"2010","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"10.1016\/j.jag.2018.07.014_bib0010","doi-asserted-by":"crossref","first-page":"632","DOI":"10.1109\/DSAA.2016.72","article-title":"On the use of ontology as a priori knowledge into constrained clustering","author":"Chahdi","year":"2016","journal-title":"2016 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2016"},{"issue":"5","key":"10.1016\/j.jag.2018.07.014_bib0015","doi-asserted-by":"crossref","first-page":"603","DOI":"10.1109\/34.1000236","article-title":"Mean shift: a robust approach toward feature space analysis","volume":"24","author":"Comaniciu","year":"2002","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"1","key":"10.1016\/j.jag.2018.07.014_bib0020","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2006.01.013","article-title":"Forest change detection by statistical object-based method","volume":"102","author":"Descl\u00e9e","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"10.1016\/j.jag.2018.07.014_bib0025","series-title":"A Review on Image Segmentation Techniques with Remote Sensing Perspective","author":"Dey","year":"2010"},{"issue":"2","key":"10.1016\/j.jag.2018.07.014_bib0030","doi-asserted-by":"crossref","first-page":"1542","DOI":"10.14778\/1454159.1454226","article-title":"Querying and mining of time series data: experimental comparison of representations and distance measures","volume":"1","author":"Ding","year":"2008","journal-title":"Proc. VLDB Endow."},{"issue":"5814","key":"10.1016\/j.jag.2018.07.014_bib0035","doi-asserted-by":"crossref","first-page":"972","DOI":"10.1126\/science.1136800","article-title":"Clustering by passing messages between data points","volume":"315","author":"Frey","year":"2007","journal-title":"Science"},{"key":"10.1016\/j.jag.2018.07.014_bib0040","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1016\/j.isprsjprs.2017.05.013","article-title":"A graph-based approach to detect spatiotemporal dynamics in satellite image time series","volume":"130","author":"Guttler","year":"2017","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"10.1016\/j.jag.2018.07.014_bib0045","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/j.patrec.2015.11.005","article-title":"Long term analysis of time series of satellite images","volume":"70 (C","author":"Guyet","year":"2016","journal-title":"Pattern Recognit. Lett."},{"issue":"3","key":"10.1016\/j.jag.2018.07.014_bib0050","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1016\/0034-4257(88)90106-X","article-title":"A soil-adjusted vegetation index (savi)","volume":"25","author":"Huete","year":"1988","journal-title":"Remote Sens. Environ."},{"key":"10.1016\/j.jag.2018.07.014_bib0055","first-page":"1042","article-title":"A soil color index to adjust for soil and litter noise in vegetation index imagery of arid regions","volume":"vol. 2","author":"Huete","year":"1994"},{"issue":"1","key":"10.1016\/j.jag.2018.07.014_bib0060","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/2133360.2133361","article-title":"From context to distance: learning dissimilarity for categorical data clustering","volume":"6","author":"Ienco","year":"2012","journal-title":"ACM Trans. Knowl. Discov. Data (TKDD)"},{"key":"10.1016\/j.jag.2018.07.014_bib0065","doi-asserted-by":"crossref","first-page":"320","DOI":"10.1109\/ICDM.2013.96","article-title":"Focal-test-based spatial decision tree learning: a summary of results","author":"Jiang","year":"2013","journal-title":"2013 IEEE 13th International Conference on Data Mining"},{"issue":"3","key":"10.1016\/j.jag.2018.07.014_bib0070","doi-asserted-by":"crossref","first-page":"358","DOI":"10.1007\/s10115-004-0154-9","article-title":"Exact indexing of dynamic time warping","volume":"7","author":"Keogh","year":"2005","journal-title":"Knowl. Inf. Syst."},{"key":"10.1016\/j.jag.2018.07.014_bib0075","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.ecoinf.2017.11.003","article-title":"Object-oriented satellite image time series analysis using a graph-based representation","volume":"43","author":"Khiali","year":"2018","journal-title":"Ecol. Inf."},{"issue":"5","key":"10.1016\/j.jag.2018.07.014_bib0080","doi-asserted-by":"crossref","first-page":"957","DOI":"10.1016\/j.rse.2009.01.010","article-title":"Land cover mapping of large areas using chain classification of neighboring landsat satellite images","volume":"113","author":"Knorn","year":"2009","journal-title":"Remote Sens. Environ."},{"issue":"22","key":"10.1016\/j.jag.2018.07.014_bib0085","doi-asserted-by":"crossref","first-page":"5941","DOI":"10.1080\/01431161.2010.512312","article-title":"Multi-resolution region-based clustering for urban analysis","volume":"31","author":"Kurtz","year":"2010","journal-title":"Int. J. Remote Sens."},{"issue":"1","key":"10.1016\/j.jag.2018.07.014_bib0090","doi-asserted-by":"crossref","first-page":"389","DOI":"10.5721\/EuJRS20144723","article-title":"A review of remote sensing image classification techniques: the role of spatio-contextual information","volume":"47","author":"Li","year":"2014","journal-title":"Eur. J. Remote Sens."},{"issue":"11","key":"10.1016\/j.jag.2018.07.014_bib0095","doi-asserted-by":"crossref","first-page":"1857","DOI":"10.1016\/j.patcog.2005.01.025","article-title":"Clustering of time series dataa survey","volume":"38","author":"Liao","year":"2005","journal-title":"Pattern Recognit."},{"issue":"7","key":"10.1016\/j.jag.2018.07.014_bib0100","doi-asserted-by":"crossref","first-page":"1425","DOI":"10.1080\/01431169608948714","article-title":"The use of the normalized difference water index (ndwi) in the delineation of open water features","volume":"17","author":"McFeeters","year":"1996","journal-title":"Int. J. Remote Sens."},{"issue":"3","key":"10.1016\/j.jag.2018.07.014_bib0105","first-page":"18","article-title":"Object-oriented image processing of an high resolution satellite ry with perspectives for urban growth, planning and development","volume":"2","author":"Mohammed","year":"2008","journal-title":"Int. J. Image Process. Comput. Sci. J."},{"issue":"8","key":"10.1016\/j.jag.2018.07.014_bib0110","doi-asserted-by":"crossref","first-page":"3081","DOI":"10.1109\/TGRS.2011.2179050","article-title":"Satellite image time series analysis under time warping","volume":"50","author":"Petitjean","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"13","key":"10.1016\/j.jag.2018.07.014_bib0115","doi-asserted-by":"crossref","first-page":"1805","DOI":"10.1016\/j.patrec.2012.06.009","article-title":"Spatio-temporal reasoning for the classification of satellite image time series","volume":"33","author":"Petitjean","year":"2012","journal-title":"Pattern Recognit. Lett."},{"issue":"19","key":"10.1016\/j.jag.2018.07.014_bib0120","doi-asserted-by":"crossref","first-page":"6723","DOI":"10.1080\/01431161.2013.805282","article-title":"Object-based land cover change detection for cross-sensor images","volume":"34","author":"Qin","year":"2013","journal-title":"Int. J. Remote Sens."},{"key":"10.1016\/j.jag.2018.07.014_bib0125","first-page":"309","article-title":"Monitoring vegetation systems in the great plains with erts","volume":"351","author":"Rouse","year":"1974","journal-title":"NASA Sp\u00e9c. Publ."},{"key":"10.1016\/j.jag.2018.07.014_bib0130","series-title":"Introduction to Data Mining","author":"Tan","year":"2005"},{"issue":"9","key":"10.1016\/j.jag.2018.07.014_bib0135","doi-asserted-by":"crossref","first-page":"749","DOI":"10.3390\/rs8090749","article-title":"A novel tri-training technique for semi-supervised classification of hyperspectral images based on diversity measurement","volume":"8","author":"Tan","year":"2016","journal-title":"Remote Sens."},{"key":"10.1016\/j.jag.2018.07.014_bib0140","article-title":"Application of data mining techniques for remote sensing image analysis","author":"Velickov","year":"2000","journal-title":"Proc. 4th Int. Conference on Hydroinformatics"},{"key":"10.1016\/j.jag.2018.07.014_bib0145","series-title":"Remote Sensing Image Segmentation Using Mean Shift Method","first-page":"86","author":"Wan","year":"2011"},{"issue":"3","key":"10.1016\/j.jag.2018.07.014_bib0150","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1109\/LGRS.2009.2020825","article-title":"Multiresolution remote sensing image clustering","volume":"6","author":"Wemmert","year":"2009","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"issue":"3","key":"10.1016\/j.jag.2018.07.014_bib0155","doi-asserted-by":"crossref","first-page":"645","DOI":"10.1109\/TNN.2005.845141","article-title":"Survey of clustering algorithms","volume":"16","author":"Xu","year":"2005","journal-title":"IEEE Trans. Neural Netw."},{"key":"10.1016\/j.jag.2018.07.014_bib0160","doi-asserted-by":"crossref","first-page":"2419","DOI":"10.1109\/IGARSS.2016.7729624","article-title":"Satellite image time series clustering via afinity propagation","author":"Zhang","year":"2016","journal-title":"2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016"}],"container-title":["International Journal of Applied Earth Observation and Geoinformation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0303243418304781?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0303243418304781?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2022,5,19]],"date-time":"2022-05-19T00:46:14Z","timestamp":1652921174000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0303243418304781"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,2]]},"references-count":32,"alternative-id":["S0303243418304781"],"URL":"https:\/\/doi.org\/10.1016\/j.jag.2018.07.014","relation":{},"ISSN":["1569-8432"],"issn-type":[{"value":"1569-8432","type":"print"}],"subject":[],"published":{"date-parts":[[2019,2]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Detection of spatio-temporal evolutions on multi-annual satellite image time series: A clustering based approach","name":"articletitle","label":"Article Title"},{"value":"International Journal of Applied Earth Observation and Geoinformation","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jag.2018.07.014","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2018 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}]}}