{"id":"https://openalex.org/W1995473563","doi":"https://doi.org/10.1109/igarss.2012.6351452","title":"Using K-Means and morphological segmentation for intertidal flats recognition","display_name":"Using K-Means and morphological segmentation for intertidal flats recognition","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W1995473563","doi":"https://doi.org/10.1109/igarss.2012.6351452","mag":"1995473563"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2012.6351452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6351452","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101987404","display_name":"F. Soares","orcid":"https://orcid.org/0000-0002-1260-3592"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"F. Soares","raw_affiliation_strings":["Instituto Dom Luiz (IDL), University of Lisbon, Lisboa, Portugal","Instituto Dom Luiz (IDL), University of Lisbon (UL), Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Dom Luiz (IDL), University of Lisbon, Lisboa, Portugal","institution_ids":["https://openalex.org/I141596103"]},{"raw_affiliation_string":"Instituto Dom Luiz (IDL), University of Lisbon (UL), Portugal","institution_ids":["https://openalex.org/I141596103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023008746","display_name":"Jo\u00e3o Catal\u00e3o","orcid":"https://orcid.org/0000-0003-1028-4644"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"J. Catalao","raw_affiliation_strings":["Instituto Dom Luiz (IDL), University of Lisbon, Lisboa, Portugal","Instituto Dom Luiz (IDL), University of Lisbon (UL), Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Dom Luiz (IDL), University of Lisbon, Lisboa, Portugal","institution_ids":["https://openalex.org/I141596103"]},{"raw_affiliation_string":"Instituto Dom Luiz (IDL), University of Lisbon (UL), Portugal","institution_ids":["https://openalex.org/I141596103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032552944","display_name":"Giovanni Nico","orcid":"https://orcid.org/0000-0001-7621-5014"},"institutions":[{"id":"https://openalex.org/I4210106125","display_name":"Istituto per le Applicazioni del Calcolo Mauro Picone","ror":"https://ror.org/00ygy3d85","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210106125","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I905677539","display_name":"IAC (United States)","ror":"https://ror.org/01sbnfq90","country_code":"US","type":"company","lineage":["https://openalex.org/I905677539"]}],"countries":["IT","US"],"is_corresponding":false,"raw_author_name":"G. Nico","raw_affiliation_strings":["Instituto per le Applicazioni del Calcolo (IAC), Consiglio Nazionale delle Ricerche, Bari, Italy","Consiglio Nazionale delle Ricerche (CNR), Instituto per le Applicazioni del Calcolo (IAC) - Bari, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto per le Applicazioni del Calcolo (IAC), Consiglio Nazionale delle Ricerche, Bari, Italy","institution_ids":["https://openalex.org/I4210106125"]},{"raw_affiliation_string":"Consiglio Nazionale delle Ricerche (CNR), Instituto per le Applicazioni del Calcolo (IAC) - Bari, Italy","institution_ids":["https://openalex.org/I905677539"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":null,"first_page":"764","last_page":"767"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9797000288963318,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9797000288963318,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T11061","display_name":"Ocean Waves and Remote Sensing","score":0.9765999913215637,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"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/T10965","display_name":"Geological formations and processes","score":0.972599983215332,"subfield":{"id":"https://openalex.org/subfields/1904","display_name":"Earth-Surface Processes"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/intertidal-zone","display_name":"Intertidal zone","score":0.8810638785362244},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.670059084892273},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5664291381835938},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5492298007011414},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4977441132068634},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.4889713525772095},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.44101980328559875},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4224492609500885},{"id":"https://openalex.org/keywords/sediment","display_name":"Sediment","score":0.41932469606399536},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36237668991088867},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3575224280357361},{"id":"https://openalex.org/keywords/geomorphology","display_name":"Geomorphology","score":0.21575987339019775},{"id":"https://openalex.org/keywords/oceanography","display_name":"Oceanography","score":0.18805399537086487}],"concepts":[{"id":"https://openalex.org/C174580923","wikidata":"https://www.wikidata.org/wiki/Q421069","display_name":"Intertidal zone","level":2,"score":0.8810638785362244},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.670059084892273},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5664291381835938},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5492298007011414},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4977441132068634},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.4889713525772095},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.44101980328559875},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4224492609500885},{"id":"https://openalex.org/C2816523","wikidata":"https://www.wikidata.org/wiki/Q180184","display_name":"Sediment","level":2,"score":0.41932469606399536},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36237668991088867},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3575224280357361},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.21575987339019775},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.18805399537086487}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2012.6351452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6351452","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International 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":8,"referenced_works":["https://openalex.org/W2025971659","https://openalex.org/W2062413904","https://openalex.org/W2107774476","https://openalex.org/W2109221485","https://openalex.org/W2111345113","https://openalex.org/W2138998447","https://openalex.org/W3036482122","https://openalex.org/W6779587818"],"related_works":["https://openalex.org/W150835500","https://openalex.org/W30696496","https://openalex.org/W4234183213","https://openalex.org/W4254207083","https://openalex.org/W1979543850","https://openalex.org/W133999654","https://openalex.org/W2200718754","https://openalex.org/W2061670068","https://openalex.org/W3185660330","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Tidal":[0],"flats":[1,74],"are":[2,47],"considered":[3],"an":[4,57],"invaluable":[5],"natural":[6],"resource.":[7],"Generally,":[8],"they":[9],"show":[10,133],"dynamic":[11],"morphologic":[12],"changes":[13,46,75],"that":[14,89],"arise":[15],"from":[16,139],"high":[17],"tidal":[18,62,73],"energy":[19],"and":[20,106],"sediment":[21,26,36],"transportation.":[22],"The":[23,35,64],"study":[24],"of":[25,44,66,95,136],"budget":[27,37],"processes":[28],"is":[29,56,69,91],"important":[30],"in":[31,53],"many":[32],"ecological":[33],"systems.":[34],"can":[38],"be":[39,124],"estimated":[40],"only":[41],"if":[42],"maps":[43],"morphological":[45,115],"available.":[48],"Remote":[49],"sensing,":[50],"combined":[51],"with":[52],"situ":[54],"surveying,":[55],"effective":[58],"tool":[59],"for":[60,126],"monitoring":[61],"flats.":[63],"aim":[65],"this":[67],"work":[68],"to":[70,103,118],"precisely":[71],"map":[72],"using":[76],"multi-temporal":[77],"Synthetic":[78],"Aperture":[79],"Radar":[80],"(SAR)":[81],"images":[82],"acquired":[83],"by":[84,113],"the":[85,93,134],"TerraSAR-X":[86],"sensor.":[87],"For":[88],"purpose,":[90],"proposed":[92],"application":[94],"K-Means":[96],"clustering":[97],"(in":[98],"a":[99,114],"gray":[100],"level":[101],"mode)":[102],"both":[104],"original":[105],"preprocessed":[107],"SAR":[108],"amplitude":[109],"data":[110],"sets,":[111],"followed":[112],"sequence":[116],"task":[117],"generate":[119],"optimized":[120],"datasets,":[121],"which":[122],"will":[123,132],"compared":[125],"change":[127],"detection":[128],"between":[129],"tides.":[130],"Results":[131],"segmentation":[135],"intertidal":[137],"regions":[138],"flooding":[140],"tide's":[141],"comparison.":[142]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
