{"id":"https://openalex.org/W1871360119","doi":"https://doi.org/10.1109/igarss.2002.1026195","title":"Integration of multiple classic segmentation algorithms, oriented to the detection of edges, into a CommonKADS knowledge model","display_name":"Integration of multiple classic segmentation algorithms, oriented to the detection of edges, into a CommonKADS knowledge model","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W1871360119","doi":"https://doi.org/10.1109/igarss.2002.1026195","mag":"1871360119"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2002.1026195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2002.1026195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"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/A5031267504","display_name":"Fernando Bienvenido","orcid":"https://orcid.org/0000-0003-2183-8219"},"institutions":[{"id":"https://openalex.org/I52354020","display_name":"University of Almer\u00eda","ror":"https://ror.org/003d3xx08","country_code":"ES","type":"education","lineage":["https://openalex.org/I52354020"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"J.F. Bienvenido","raw_affiliation_strings":["Dpto. Lenguajes y Computaci\u00f3n., University of Almer\u00eda, Almeria, Spain","Dpto. Lenguajes y Computaci\u00f3n, University of Almer\u00eda, Spain"],"affiliations":[{"raw_affiliation_string":"Dpto. Lenguajes y Computaci\u00f3n., University of Almer\u00eda, Almeria, Spain","institution_ids":["https://openalex.org/I52354020"]},{"raw_affiliation_string":"Dpto. Lenguajes y Computaci\u00f3n, University of Almer\u00eda, Spain","institution_ids":["https://openalex.org/I52354020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000293934","display_name":"Isabel M. Flores-Parra","orcid":null},"institutions":[{"id":"https://openalex.org/I52354020","display_name":"University of Almer\u00eda","ror":"https://ror.org/003d3xx08","country_code":"ES","type":"education","lineage":["https://openalex.org/I52354020"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"I.M. Flores-Parra","raw_affiliation_strings":["Dpto. Lenguajes y Computaci\u00f3n., University of Almer\u00eda, Almeria, Spain","Dpto. Lenguajes y Computaci\u00f3n, University of Almer\u00eda, Spain"],"affiliations":[{"raw_affiliation_string":"Dpto. Lenguajes y Computaci\u00f3n., University of Almer\u00eda, Almeria, Spain","institution_ids":["https://openalex.org/I52354020"]},{"raw_affiliation_string":"Dpto. Lenguajes y Computaci\u00f3n, University of Almer\u00eda, Spain","institution_ids":["https://openalex.org/I52354020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5031267504"],"corresponding_institution_ids":["https://openalex.org/I52354020"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.08932295,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"1606","last_page":"1608"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9866999983787537,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9866999983787537,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9854000210762024,"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":0.954800009727478,"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/computer-science","display_name":"Computer science","score":0.8215302228927612},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6898249387741089},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.655003547668457},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.512752890586853},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.46679219603538513},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45736274123191833},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4491083025932312},{"id":"https://openalex.org/keywords/knowledge-based-systems","display_name":"Knowledge-based systems","score":0.4490509629249573},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.4473895728588104},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.44649189710617065},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43006181716918945},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38192689418792725},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.28796350955963135}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8215302228927612},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6898249387741089},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.655003547668457},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.512752890586853},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.46679219603538513},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45736274123191833},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4491083025932312},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.4490509629249573},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.4473895728588104},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.44649189710617065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43006181716918945},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38192689418792725},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28796350955963135},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2002.1026195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2002.1026195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1900428316","https://openalex.org/W1980193333","https://openalex.org/W2040723124","https://openalex.org/W2049562841","https://openalex.org/W2052227846","https://openalex.org/W2064910157","https://openalex.org/W2103431842","https://openalex.org/W2121058793","https://openalex.org/W2129145131","https://openalex.org/W2133308113","https://openalex.org/W2155037846","https://openalex.org/W2172102466","https://openalex.org/W6666411432"],"related_works":["https://openalex.org/W2475408106","https://openalex.org/W2086580554","https://openalex.org/W2553860513","https://openalex.org/W3045387744","https://openalex.org/W1480876128","https://openalex.org/W631902903","https://openalex.org/W2904591968","https://openalex.org/W2116633399","https://openalex.org/W2231316191","https://openalex.org/W32894952"],"abstract_inverted_index":{"The":[0],"existence":[1],"of":[2,36,43,66,70,84,120,132,146],"specific":[3,28,138],"domain":[4],"and":[5,30,51,128,136,160],"case":[6],"problems":[7,29],"when":[8],"extracting":[9],"relevant":[10],"information":[11],"from":[12,49],"complex":[13],"images":[14],"have":[15],"generated":[16],"segmentation":[17,87,122,153],"methods,":[18],"as":[19,77,98],"they":[20],"are":[21],"found":[22],"in":[23,111,155,164],"the":[24,64,79,82,115,121,129,133,144],"bibliography,":[25],"adapted":[26],"to":[27,96,157],"situations.":[31],"Working":[32],"with":[33],"satellite":[34],"image":[35],"different":[37,165],"areas,":[38],"we":[39],"developed":[40],"multiple":[41,85],"variations":[42],"a":[44,67,91,107,137,148],"previous":[45,86],"mobile":[46],"windows":[47],"algorithm":[48,154],"Cayula":[50],"Cornillon":[52],"(1992).":[53],"We":[54,113],"started":[55],"classifying":[56],"our":[57],"alternatives":[58],"by":[59],"their":[60,162],"possible":[61],"application,":[62],"realizing":[63],"suitability":[65],"general":[68,134],"model":[69,123,150],"applicability.":[71],"Our":[72],"objective":[73],"could":[74],"be":[75],"described":[76],"formalizing":[78],"knowledge":[80,92,99,149],"about":[81],"application":[83],"algorithms.":[88],"This":[89],"is":[90],"modeling":[93],"task;":[94],"deciding":[95],"use":[97],"system":[100],"development":[101],"framework,":[102],"CommonKADS,":[103],"which":[104],"is,":[105],"actually,":[106],"de":[108],"facto":[109],"standard":[110],"Europe.":[112],"present":[114],"first":[116],"level":[117],"TMD":[118],"schema":[119],"(for":[124],"edge":[125],"detection":[126],"algorithms)":[127],"CML":[130],"description":[131],"task":[135],"sample":[139],"method.":[140],"Main":[141],"conclusions":[142],"include":[143],"interest":[145],"developing":[147],"integrating":[151],"existing":[152],"order":[156],"reuse":[158],"them,":[159],"analyze":[161],"applicability":[163],"domains.":[166]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
