{"id":"https://openalex.org/W1964953483","doi":"https://doi.org/10.1109/igarss.2014.6947590","title":"Large scale region-merging segmentation using the local mutual best fitting concept","display_name":"Large scale region-merging segmentation using the local mutual best fitting concept","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W1964953483","doi":"https://doi.org/10.1109/igarss.2014.6947590","mag":"1964953483"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2014.6947590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2014.6947590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 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/A5007397898","display_name":"Pierre Lassalle","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100083","display_name":"Centre d'\u00c9tudes Spatiales de la Biosph\u00e8re","ror":"https://ror.org/01225hq90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I134560555","https://openalex.org/I2799535048","https://openalex.org/I2802818602","https://openalex.org/I4210088668","https://openalex.org/I4210090127","https://openalex.org/I4210100083","https://openalex.org/I4210131494","https://openalex.org/I4210148025","https://openalex.org/I4210166444","https://openalex.org/I4412460029"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Pierre Lassalle","raw_affiliation_strings":["CESBIO - UMR5126, Toulouse Cedex 9, France"],"affiliations":[{"raw_affiliation_string":"CESBIO - UMR5126, Toulouse Cedex 9, France","institution_ids":["https://openalex.org/I4210100083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075135845","display_name":"Jordi Inglada","orcid":"https://orcid.org/0000-0001-6896-0049"},"institutions":[{"id":"https://openalex.org/I2799535048","display_name":"Centre National d'\u00c9tudes Spatiales","ror":"https://ror.org/04h1h0y33","country_code":"FR","type":"funder","lineage":["https://openalex.org/I2799535048"]},{"id":"https://openalex.org/I4210100083","display_name":"Centre d'\u00c9tudes Spatiales de la Biosph\u00e8re","ror":"https://ror.org/01225hq90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I134560555","https://openalex.org/I2799535048","https://openalex.org/I2802818602","https://openalex.org/I4210088668","https://openalex.org/I4210090127","https://openalex.org/I4210100083","https://openalex.org/I4210131494","https://openalex.org/I4210148025","https://openalex.org/I4210166444","https://openalex.org/I4412460029"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jordi Inglada","raw_affiliation_strings":["CESBIO - UMR5126, Toulouse Cedex 9, France","CNES, Toulouse Cedex 9, France"],"affiliations":[{"raw_affiliation_string":"CESBIO - UMR5126, Toulouse Cedex 9, France","institution_ids":["https://openalex.org/I4210100083"]},{"raw_affiliation_string":"CNES, Toulouse Cedex 9, France","institution_ids":["https://openalex.org/I2799535048"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085372497","display_name":"Julien Michel","orcid":"https://orcid.org/0000-0001-7436-0381"},"institutions":[{"id":"https://openalex.org/I2799535048","display_name":"Centre National d'\u00c9tudes Spatiales","ror":"https://ror.org/04h1h0y33","country_code":"FR","type":"funder","lineage":["https://openalex.org/I2799535048"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Julien Michel","raw_affiliation_strings":["CNES, Toulouse Cedex 9, France"],"affiliations":[{"raw_affiliation_string":"CNES, Toulouse Cedex 9, France","institution_ids":["https://openalex.org/I2799535048"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026976678","display_name":"Manuel Grizonnet","orcid":"https://orcid.org/0000-0002-2210-333X"},"institutions":[{"id":"https://openalex.org/I2799535048","display_name":"Centre National d'\u00c9tudes Spatiales","ror":"https://ror.org/04h1h0y33","country_code":"FR","type":"funder","lineage":["https://openalex.org/I2799535048"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Manuel Grizonnet","raw_affiliation_strings":["CNES, Toulouse Cedex 9, France"],"affiliations":[{"raw_affiliation_string":"CNES, Toulouse Cedex 9, France","institution_ids":["https://openalex.org/I2799535048"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038378069","display_name":"Julien Malik","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Julien Malik","raw_affiliation_strings":["CS-SI, Toulouse, France"],"affiliations":[{"raw_affiliation_string":"CS-SI, Toulouse, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5007397898"],"corresponding_institution_ids":["https://openalex.org/I4210100083"],"apc_list":null,"apc_paid":null,"fwci":0.7316,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.73609409,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"4887","last_page":"4890"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9995999932289124,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9994999766349792,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7754920721054077},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7382761836051941},{"id":"https://openalex.org/keywords/memory-footprint","display_name":"Memory footprint","score":0.6339995265007019},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.6188784837722778},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6131508350372314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5702546834945679},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5638887882232666},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5517253875732422},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.48051580786705017},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47783517837524414},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4608653783798218},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45915380120277405},{"id":"https://openalex.org/keywords/tile","display_name":"Tile","score":0.4578820765018463},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42804449796676636},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3600841760635376},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35555505752563477}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7754920721054077},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7382761836051941},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.6339995265007019},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.6188784837722778},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6131508350372314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5702546834945679},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5638887882232666},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5517253875732422},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.48051580786705017},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47783517837524414},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4608653783798218},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45915380120277405},{"id":"https://openalex.org/C2780728851","wikidata":"https://www.wikidata.org/wiki/Q468402","display_name":"Tile","level":2,"score":0.4578820765018463},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42804449796676636},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3600841760635376},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35555505752563477},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2014.6947590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2014.6947590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2075690349","https://openalex.org/W2403380272","https://openalex.org/W2981849677","https://openalex.org/W6712768486","https://openalex.org/W6769377118"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W2371519352","https://openalex.org/W4205800335","https://openalex.org/W2386644571","https://openalex.org/W2372421320","https://openalex.org/W2901890255"],"abstract_inverted_index":{"Large":[0],"scale":[1],"segmentation":[2,104,130,156],"remains":[3],"a":[4,19,95,147,152,179],"challenging":[5],"task":[6],"because":[7],"of":[8,22,78,110,134,144,146,155,170,189],"time":[9],"and":[10,141,167],"memory":[11,37],"consuming.":[12],"A":[13],"usual":[14],"strategy":[15,97,124],"to":[16,25,29,35,44,57,128,150],"process":[17],"efficiently":[18],"large":[20,180],"volume":[21],"data":[23],"is":[24,88],"divide":[26],"into":[27,62],"chunks":[28],"be":[30,126],"processed":[31],"separately,":[32],"either":[33],"sequentially":[34],"reduce":[36],"footprint":[38],"or":[39],"in":[40,42,52],"parallel":[41],"order":[43],"speed":[45],"up":[46],"the":[47,59,68,76,79,86,100,108,111,123,135,142,161,164,168,171,187,190],"computation.":[48],"In":[49,90],"image":[50,61,66,103,183],"processing":[51],"general":[53],"this":[54,91],"boils":[55],"down":[56],"dividing":[58],"input":[60],"tiles.":[63],"However,":[64],"for":[65,102],"segmentation,":[67],"tile":[69],"splitting":[70],"usually":[71],"leads":[72],"incoherent":[73],"segments":[74],"on":[75,117,158,178],"borders":[77],"tiles":[80,87],"even":[81],"when":[82],"some":[83],"overlap":[84],"between":[85],"applied.":[89],"paper":[92],"we":[93,115],"propose":[94],"new":[96,153,174],"making":[98],"possible":[99],"tiling":[101],"algorithms":[105],"while":[106],"maintaining":[107],"accuracy":[109],"final":[112],"results.":[113],"Specifically,":[114],"focus":[116],"iterative":[118,165],"region":[119],"merging":[120],"methods":[121],"but":[122],"can":[125],"extended":[127],"any":[129],"algorithm.":[131],"The":[132],"introduction":[133],"local":[136],"mutual":[137],"best":[138],"fitting":[139],"concept":[140],"area":[143],"influence":[145],"segment":[148],"allows":[149],"establish":[151],"methodology":[154,175],"based":[157],"three":[159],"phases:":[160],"tile-based":[162],"reduction,":[163],"reduction":[166],"completion":[169],"segmentation.":[172],"This":[173],"was":[176],"applied":[177],"Pleiades":[181],"HR":[182],"with":[184],"success":[185],"proving":[186],"feasibility":[188],"approach.":[191]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-07T23:20:04.922697","created_date":"2025-10-10T00:00:00"}
