{"id":"https://openalex.org/W2088718622","doi":"https://doi.org/10.1109/siu.2012.6204797","title":"A robust approach for shoreline detection in satellite imagery","display_name":"A robust approach for shoreline detection in satellite imagery","publication_year":2012,"publication_date":"2012-04-01","ids":{"openalex":"https://openalex.org/W2088718622","doi":"https://doi.org/10.1109/siu.2012.6204797","mag":"2088718622"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2012.6204797","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2012.6204797","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","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/A5016829751","display_name":"\u00dcmit Ru\u015fen Akta\u015f","orcid":"https://orcid.org/0000-0003-1521-4143"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"umit Rusen Aktas","raw_affiliation_strings":["Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Orta Do\u011fu Teknik \u00dcniversitesi, Turkey"],"affiliations":[{"raw_affiliation_string":"Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Orta Do\u011fu Teknik \u00dcniversitesi, Turkey","institution_ids":["https://openalex.org/I201799495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045397549","display_name":"G\u00fclcan Can","orcid":"https://orcid.org/0000-0001-7185-2049"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Gulcan Can","raw_affiliation_strings":["Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Orta Do\u011fu Teknik \u00dcniversitesi, Turkey"],"affiliations":[{"raw_affiliation_string":"Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Orta Do\u011fu Teknik \u00dcniversitesi, Turkey","institution_ids":["https://openalex.org/I201799495"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110664463","display_name":"Fato\u015f T. Yarman Vural","orcid":null},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Fatos T. Yarman Vural","raw_affiliation_strings":["Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Orta Do\u011fu Teknik \u00dcniversitesi, Turkey"],"affiliations":[{"raw_affiliation_string":"Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Orta Do\u011fu Teknik \u00dcniversitesi, Turkey","institution_ids":["https://openalex.org/I201799495"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016829751"],"corresponding_institution_ids":["https://openalex.org/I201799495"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.13050728,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"130","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12316","display_name":"Oil Spill Detection and Mitigation","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/2310","display_name":"Pollution"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12316","display_name":"Oil Spill Detection and Mitigation","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/2310","display_name":"Pollution"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9865999817848206,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9811999797821045,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/shore","display_name":"Shore","score":0.7712134122848511},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6120739579200745},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6078518629074097},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.6036779284477234},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5810493230819702},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5765442848205566},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5715293288230896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5630126595497131},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.492827445268631},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49118897318840027},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.47657203674316406},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.44908377528190613},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4397767186164856},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42089247703552246},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4116480350494385},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4115352928638458},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.332475483417511},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16652697324752808},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09454932808876038}],"concepts":[{"id":"https://openalex.org/C152382732","wikidata":"https://www.wikidata.org/wiki/Q468756","display_name":"Shore","level":2,"score":0.7712134122848511},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6120739579200745},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6078518629074097},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.6036779284477234},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5810493230819702},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5765442848205566},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5715293288230896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5630126595497131},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.492827445268631},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49118897318840027},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.47657203674316406},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.44908377528190613},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4397767186164856},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42089247703552246},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4116480350494385},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4115352928638458},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.332475483417511},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16652697324752808},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09454932808876038},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2012.6204797","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2012.6204797","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W92916506","https://openalex.org/W120278137","https://openalex.org/W1991605728","https://openalex.org/W2013322952","https://openalex.org/W2067191022","https://openalex.org/W2077509829","https://openalex.org/W2101678239","https://openalex.org/W2133059825","https://openalex.org/W2160072137","https://openalex.org/W4285719527","https://openalex.org/W6603710131","https://openalex.org/W6604766955"],"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/W3157073418","https://openalex.org/W2021642829","https://openalex.org/W2181521483"],"abstract_inverted_index":{"Shoreline":[0],"extraction":[1,86,123],"algorithms":[2],"from":[3],"multispectral":[4],"imagery":[5,71],"depend":[6],"on":[7,29],"threshold":[8],"selection":[9],"over":[10,94],"spectral":[11,44,95],"values":[12,22,96],"and":[13,33,99,130],"segmentation":[14,66,93],"in":[15],"general.":[16],"Although":[17],"this":[18,80],"gives":[19],"high":[20],"performance":[21,132],"for":[23,136],"water":[24,116],"delineation,":[25],"error":[26],"is":[27,46,88,97,118,125,134],"accumulated":[28],"pixels":[30],"near":[31],"shoreline":[32,60,75,85,122,137],"makes":[34],"detection":[35,76],"of":[36,67,112],"nearby":[37],"ships,":[38],"docks":[39],"etc.":[40],"very":[41],"hard.":[42],"Water-shadow":[43],"mixing":[45,56],"a":[47,82,128],"well-studied":[48],"problem":[49],"as":[50],"only":[51],"four":[52],"bands":[53],"available.":[54],"This":[55,120],"brings":[57],"up":[58],"untrustworthy":[59],"results.":[61],"Furthermore,":[62],"problems":[63],"due":[64],"to":[65,73,106],"high-resolution":[68],"remote":[69],"sensing":[70],"tend":[72],"make":[74],"results":[77],"erroneous.":[78],"In":[79],"study,":[81],"robust":[83],"two-staged":[84],"algorithm":[87],"proposed.":[89],"At":[90],"first":[91],"stage,":[92],"applied,":[98],"then,":[100],"some":[101],"segments":[102],"are":[103],"combined":[104],"according":[105],"edge":[107],"information.":[108],"As":[109],"second":[110],"part":[111],"the":[113],"algorithm,":[114],"pixel-based":[115],"information":[117],"integrated.":[119],"way,":[121],"technique":[124],"improved.":[126],"Additionally,":[127],"sensitive":[129],"representative":[131],"metric":[133],"introduced":[135],"extraction.":[138]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}