{"id":"https://openalex.org/W2072526607","doi":"https://doi.org/10.1109/igarss.2015.7326168","title":"Multi-temporal optical VHR image fusion for Land-Cover mapping","display_name":"Multi-temporal optical VHR image fusion for Land-Cover mapping","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2072526607","doi":"https://doi.org/10.1109/igarss.2015.7326168","mag":"2072526607"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2015.7326168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7326168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"},"type":"preprint","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/A5016888093","display_name":"Mathias Paget","orcid":null},"institutions":[{"id":"https://openalex.org/I1327553481","display_name":"Institut national de l\u2019information g\u00e9ographique et foresti\u00e8re","ror":"https://ror.org/05jxfge78","country_code":"FR","type":"government","lineage":["https://openalex.org/I1327553481"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mathias Paget","raw_affiliation_strings":["IGN, SRIG, Universit\u00e9 Paris-Est, Saint Mand\u00e9, France","Universit\u00e9 Paris-Est, IGN, SRIG, MATIS, 73 avenue de Paris, 94160 Saint-Mand\u00e9, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IGN, SRIG, Universit\u00e9 Paris-Est, Saint Mand\u00e9, France","institution_ids":["https://openalex.org/I1327553481"]},{"raw_affiliation_string":"Universit\u00e9 Paris-Est, IGN, SRIG, MATIS, 73 avenue de Paris, 94160 Saint-Mand\u00e9, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053678933","display_name":"Adrien Gressin","orcid":null},"institutions":[{"id":"https://openalex.org/I1327553481","display_name":"Institut national de l\u2019information g\u00e9ographique et foresti\u00e8re","ror":"https://ror.org/05jxfge78","country_code":"FR","type":"government","lineage":["https://openalex.org/I1327553481"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Adrien Gressin","raw_affiliation_strings":["IGN, SRIG, Universit\u00e9 Paris-Est, Saint Mand\u00e9, France","Universit\u00e9 Paris-Est, IGN, SRIG, MATIS, 73 avenue de Paris, 94160 Saint-Mand\u00e9, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IGN, SRIG, Universit\u00e9 Paris-Est, Saint Mand\u00e9, France","institution_ids":["https://openalex.org/I1327553481"]},{"raw_affiliation_string":"Universit\u00e9 Paris-Est, IGN, SRIG, MATIS, 73 avenue de Paris, 94160 Saint-Mand\u00e9, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001898964","display_name":"Cl\u00e9ment Mallet","orcid":"https://orcid.org/0000-0002-2675-165X"},"institutions":[{"id":"https://openalex.org/I1327553481","display_name":"Institut national de l\u2019information g\u00e9ographique et foresti\u00e8re","ror":"https://ror.org/05jxfge78","country_code":"FR","type":"government","lineage":["https://openalex.org/I1327553481"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Clement Mallet","raw_affiliation_strings":["IGN, SRIG, Universit\u00e9 Paris-Est, Saint Mand\u00e9, France","Universit\u00e9 Paris-Est, IGN, SRIG, MATIS, 73 avenue de Paris, 94160 Saint-Mand\u00e9, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IGN, SRIG, Universit\u00e9 Paris-Est, Saint Mand\u00e9, France","institution_ids":["https://openalex.org/I1327553481"]},{"raw_affiliation_string":"Universit\u00e9 Paris-Est, IGN, SRIG, MATIS, 73 avenue de Paris, 94160 Saint-Mand\u00e9, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4209,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.68659837,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1913","last_page":"1916"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.775423526763916},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.7430784106254578},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6677862405776978},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.6440067291259766},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.6350619792938232},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.6264536380767822},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5952788591384888},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5882734656333923},{"id":"https://openalex.org/keywords/temporal-resolution","display_name":"Temporal resolution","score":0.5697102546691895},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.44498586654663086},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4224837124347687},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3458516597747803},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32137972116470337},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.31661292910575867},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24550467729568481},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1689222753047943},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08487027883529663}],"concepts":[{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.775423526763916},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.7430784106254578},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6677862405776978},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.6440067291259766},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.6350619792938232},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.6264536380767822},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5952788591384888},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5882734656333923},{"id":"https://openalex.org/C119666444","wikidata":"https://www.wikidata.org/wiki/Q5977280","display_name":"Temporal resolution","level":2,"score":0.5697102546691895},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.44498586654663086},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4224837124347687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3458516597747803},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32137972116470337},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.31661292910575867},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24550467729568481},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1689222753047943},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08487027883529663},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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.2015.7326168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7326168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-02384462v1","is_oa":false,"landing_page_url":"https://inria.hal.science/hal-02384462","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IGARSS 2015 - 2015 IEEE International Geoscience and Remote Sensing Symposium, Jul 2015, Milan, Italy. pp.1913-1916, &#x27E8;10.1109/IGARSS.2015.7326168&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1984622959","https://openalex.org/W2000780280","https://openalex.org/W2042645898","https://openalex.org/W2072895218","https://openalex.org/W6668768640"],"related_works":["https://openalex.org/W2386346147","https://openalex.org/W2016474688","https://openalex.org/W2392191343","https://openalex.org/W2357430536","https://openalex.org/W3088219559","https://openalex.org/W2992915961","https://openalex.org/W2388838478","https://openalex.org/W2548950561","https://openalex.org/W1541747552","https://openalex.org/W2615806692"],"abstract_inverted_index":{"Land-Cover":[0,72],"databases":[1],"(LC-DB)":[2],"are":[3,38,65,87],"very":[4,39,94],"useful":[5,40],"for":[6],"environmental":[7],"purposes,":[8],"but":[9],"need":[10,50],"to":[11,15,27,42,51,54,79,92],"be":[12,52],"semantically":[13],"detailed":[14],"provide":[16,55],"robust":[17],"and":[18,67,89],"instructive":[19],"spatial":[20],"indicators.":[21],"Moreover,":[22],"remote":[23],"sensed":[24],"data":[25,37],"allow":[26,78],"cover":[28],"large":[29],"areas":[30],"with":[31],"high":[32,56,95],"temporal":[33],"resolution.":[34],"Such":[35],"multi-temporal":[36,83],"input":[41],"discriminate":[43],"LC":[44],"classes.":[45],"Nevertheless,":[46],"automatic":[47],"fusion":[48,63,76],"method":[49],"developed":[53],"quality":[57],"LC-DB.":[58,97],"In":[59],"this":[60],"paper,":[61],"several":[62],"methods":[64,77,86],"proposed":[66],"introduced":[68],"in":[69],"an":[70],"existing":[71],"mapping":[73],"framework.":[74],"Those":[75,85],"take":[80],"advantage":[81],"of":[82],"data.":[84],"compared,":[88],"assessed":[90],"thanks":[91],"a":[93],"resolution":[96]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
