{"id":"https://openalex.org/W2151819977","doi":"https://doi.org/10.1109/igarss.2011.6048933","title":"Detection of land-cover transitions in multitemporal images with active-learning based compound classification","display_name":"Detection of land-cover transitions in multitemporal images with active-learning based compound classification","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2151819977","doi":"https://doi.org/10.1109/igarss.2011.6048933","mag":"2151819977"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2011.6048933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2011.6048933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087126293","display_name":"Beg\u00fcm Demir","orcid":"https://orcid.org/0000-0003-2175-7072"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Begum Demir","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087668203","display_name":"Francesca Bovolo","orcid":"https://orcid.org/0000-0003-3104-7656"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesca Bovolo","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006095323","display_name":"Lorenzo Bruzzone","orcid":"https://orcid.org/0000-0002-6036-459X"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lorenzo Bruzzone","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5087126293"],"corresponding_institution_ids":["https://openalex.org/I193223587"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13579069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"60","issue":null,"first_page":"225","last_page":"228"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.965499997138977,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6206952333450317},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.600684642791748},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5918861031532288},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.5686663389205933},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5621518492698669},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.554613471031189},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.44801753759384155},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3440288305282593},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11109983921051025},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.0944979190826416}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6206952333450317},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.600684642791748},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5918861031532288},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.5686663389205933},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5621518492698669},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.554613471031189},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.44801753759384155},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3440288305282593},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11109983921051025},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.0944979190826416},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss.2011.6048933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2011.6048933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unitn.it:11572/90021","is_oa":false,"landing_page_url":"http://hdl.handle.net/11572/90021","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W53461454","https://openalex.org/W2098758111","https://openalex.org/W2114691401","https://openalex.org/W2127038040","https://openalex.org/W2139573966","https://openalex.org/W2153819437","https://openalex.org/W2942228371","https://openalex.org/W4301253858","https://openalex.org/W6602123915"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W4388409104","https://openalex.org/W2124951708","https://openalex.org/W1544811710","https://openalex.org/W172072032","https://openalex.org/W2006066416","https://openalex.org/W2043913960","https://openalex.org/W2546503577","https://openalex.org/W3129683637"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,46,59,114],"novel":[4],"active":[5],"learning":[6],"(AL)":[7],"technique":[8,26,97],"for":[9,17,54,90],"the":[10,18,30,51,70,91,134,137],"compound":[11,55],"classification":[12],"of":[13,20,32,35,58,61,72,136],"multitemporal":[14,85],"remote-sensing":[15],"images":[16,132],"detection":[19],"land-cover":[21],"transitions.":[22],"The":[23,100],"proposed":[24,92,101,138],"AL":[25,96,105,124],"is":[27,63],"based":[28,95,104,123],"on":[29,41,69,120,129],"selection":[31],"unlabeled":[33],"pairs":[34],"samples":[36,62],"that":[37],"have":[38],"maximum":[39],"uncertainty":[40],"their":[42],"labels":[43],"assigned":[44],"by":[45,65],"classifier":[47],"implemented":[48],"according":[49],"to":[50,109],"Bayes":[52],"rule":[53],"classification.":[56],"Uncertainty":[57],"pair":[60],"assessed":[64],"joint":[66,93,102],"entropy":[67,94,103,116],"defined":[68],"basis":[71],"two":[73,88,130],"different":[74],"simplifying":[75],"assumptions:":[76],"i)":[77],"class-conditional":[78],"independence,":[79],"and":[80,112],"ii)":[81],"temporal":[82],"independence":[83],"between":[84],"images.":[86],"Accordingly,":[87],"algorithms":[89,106],"are":[98,107],"introduced.":[99],"compared":[108],"each":[110],"other":[111],"with":[113],"marginal":[115],"(entropy":[117],"computed":[118],"separately":[119],"single-date":[121],"images)":[122],"technique.":[125,139],"Experimental":[126],"results":[127],"obtained":[128],"multispectral":[131],"show":[133],"effectiveness":[135]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}