{"id":"https://openalex.org/W3205146339","doi":"https://doi.org/10.1142/s0218001422540015","title":"Coastline Extraction from GF-3 SAR Images Using LKDACM and GMM Algorithms","display_name":"Coastline Extraction from GF-3 SAR Images Using LKDACM and GMM Algorithms","publication_year":2021,"publication_date":"2021-10-18","ids":{"openalex":"https://openalex.org/W3205146339","doi":"https://doi.org/10.1142/s0218001422540015","mag":"3205146339"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001422540015","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001422540015","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/A5050574880","display_name":"Dongsheng Liu","orcid":"https://orcid.org/0000-0002-4529-5303"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongsheng Liu","raw_affiliation_strings":["School of Geology Engineering and Geomatics, Chang\u2019an University, Xi\u2019an 710054, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"School of Geology Engineering and Geomatics, Chang\u2019an University, Xi\u2019an 710054, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111993997","display_name":"Ling Han","orcid":null},"institutions":[{"id":"https://openalex.org/I4210150907","display_name":"Land Consolidation and Rehabilitation Center","ror":"https://ror.org/05qh2mm74","country_code":"CN","type":"other","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390","https://openalex.org/I4210150907"]},{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ling Han","raw_affiliation_strings":["Key Laboratory of Land Consolidation in Shaanxi Province, Xi\u2019an 710054, P.\u00a0R.\u00a0China","School of Land Engineering, Chang\u2019an University, Xi\u2019an 710054, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Land Consolidation in Shaanxi Province, Xi\u2019an 710054, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4210150907"]},{"raw_affiliation_string":"School of Land Engineering, Chang\u2019an University, Xi\u2019an 710054, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I25355098"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5111993997"],"corresponding_institution_ids":["https://openalex.org/I25355098","https://openalex.org/I4210150907"],"apc_list":null,"apc_paid":null,"fwci":0.1884,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57709874,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"36","issue":"01","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11061","display_name":"Ocean Waves and Remote Sensing","score":0.9969000220298767,"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"}},"topics":[{"id":"https://openalex.org/T11061","display_name":"Ocean Waves and Remote Sensing","score":0.9969000220298767,"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/T10647","display_name":"Coastal and Marine Dynamics","score":0.9932000041007996,"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"}},{"id":"https://openalex.org/T11459","display_name":"Arctic and Antarctic ice dynamics","score":0.9708999991416931,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.7920308709144592},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7682172060012817},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6914528012275696},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6878135204315186},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.6668907403945923},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5358675122261047},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5165883302688599},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4946453273296356},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4652349352836609},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46032845973968506},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.37672632932662964},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36478686332702637}],"concepts":[{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.7920308709144592},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7682172060012817},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6914528012275696},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6878135204315186},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.6668907403945923},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5358675122261047},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5165883302688599},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4946453273296356},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4652349352836609},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46032845973968506},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.37672632932662964},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36478686332702637},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001422540015","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001422540015","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.8500000238418579,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1968889142","https://openalex.org/W1990188468","https://openalex.org/W2025808729","https://openalex.org/W2051477566","https://openalex.org/W2078193509","https://openalex.org/W2095587715","https://openalex.org/W2100287893","https://openalex.org/W2115664739","https://openalex.org/W2136896845","https://openalex.org/W2314847086","https://openalex.org/W2472163290","https://openalex.org/W2496304207","https://openalex.org/W2560703724","https://openalex.org/W2603234305","https://openalex.org/W2620843493","https://openalex.org/W2755058213","https://openalex.org/W2757820518","https://openalex.org/W2793940946","https://openalex.org/W2808611531","https://openalex.org/W2809003582","https://openalex.org/W2885194677","https://openalex.org/W2887205354","https://openalex.org/W2888164456","https://openalex.org/W2944484433","https://openalex.org/W2996553655","https://openalex.org/W3025392681","https://openalex.org/W3084188201","https://openalex.org/W3117374221"],"related_works":["https://openalex.org/W2387003628","https://openalex.org/W123102278","https://openalex.org/W2081609930","https://openalex.org/W2365596436","https://openalex.org/W2014494654","https://openalex.org/W2128914210","https://openalex.org/W2083612662","https://openalex.org/W163453029","https://openalex.org/W1578916557","https://openalex.org/W2159463658"],"abstract_inverted_index":{"Coastline":[0],"detection":[1,198],"using":[2],"a":[3,45,53,71,88],"Gaussian":[4,112],"Mixture":[5],"Model":[6],"(GMM)":[7],"applied":[8],"to":[9,19,35,50,52,64,105,127,145,189],"synthetic":[10],"aperture":[11],"radar":[12],"(SAR)":[13],"imagery":[14],"is":[15,33,80],"usually":[16],"inaccurate":[17],"due":[18],"the":[20,28,36,40,61,66,84,99,108,119,147,150,158,167,171,181,184,197],"inherent":[21],"noise":[22],"of":[23,39,48,149,183,199],"SAR":[24,67,109,134,138,163],"data.":[25],"In":[26,55],"addition,":[27],"traditional":[29,185],"active":[30,90,102,115,176,186],"counter":[31],"model":[32,104,107,117,178,188],"sensitive":[34],"initial":[37,85],"position":[38,86],"contour":[41,91,103,116,177,187],"line":[42],"and":[43,69,74,118,170,191],"requires":[44],"large":[46],"number":[47],"iterations":[49],"converge":[51],"solution.":[54],"this":[56,123],"study,":[57],"we":[58],"first":[59],"used":[60,82,126],"GMM":[62,168],"algorithm":[63,120,169],"segment":[65],"images":[68,139,164],"obtain":[70],"coarse":[72],"land":[73],"sea":[75],"segmentation":[76],"map.":[77],"This":[78],"map":[79],"then":[81],"as":[83],"for":[87],"subsequent":[89],"model.":[92],"The":[93,111,153],"K":[94,172],"distribution":[95],"was":[96],"introduced":[97],"into":[98],"local":[100,114,174],"statistical":[101,175],"better":[106],"image.":[110],"distribution-based":[113,173],"detailed":[121],"in":[122],"paper":[124],"were":[125,143],"perform":[128],"coastline":[129,159,200],"extraction":[130,160],"experiments":[131],"on":[132,166],"four":[133],"images.":[135],"Four":[136],"GF-3":[137],"with":[140],"different":[141],"modes":[142],"collected":[144],"validate":[146],"efficiency":[148],"proposed":[151],"method.":[152],"experimental":[154],"results":[155],"show":[156],"that":[157],"methods":[161],"from":[162],"based":[165],"(LKDACM)":[179],"overcame":[180],"shortcomings":[182],"accurately":[190],"quickly":[192],"detect":[193],"coastlines,":[194],"thus":[195],"enabling":[196],"changes.":[201]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}