{"id":"https://openalex.org/W2892781905","doi":"https://doi.org/10.1155/2018/5902318","title":"Coastal Zone Classification Based on Multisource Remote Sensing Imagery Fusion","display_name":"Coastal Zone Classification Based on Multisource Remote Sensing Imagery Fusion","publication_year":2018,"publication_date":"2018-09-24","ids":{"openalex":"https://openalex.org/W2892781905","doi":"https://doi.org/10.1155/2018/5902318","mag":"2892781905"},"language":"en","primary_location":{"id":"doi:10.1155/2018/5902318","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2018/5902318","pdf_url":"http://downloads.hindawi.com/journals/js/2018/5902318.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"http://downloads.hindawi.com/journals/js/2018/5902318.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100462955","display_name":"Jiahui Li","orcid":"https://orcid.org/0000-0002-3641-6652"},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahui Li","raw_affiliation_strings":["School of Geometrics, Liaoning Technical University, Fuxin 123000, China"],"affiliations":[{"raw_affiliation_string":"School of Geometrics, Liaoning Technical University, Fuxin 123000, China","institution_ids":["https://openalex.org/I176808543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052172440","display_name":"Youxin Zhao","orcid":"https://orcid.org/0000-0001-9191-9845"},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Youxin Zhao","raw_affiliation_strings":["School of Geometrics, Liaoning Technical University, Fuxin 123000, China"],"affiliations":[{"raw_affiliation_string":"School of Geometrics, Liaoning Technical University, Fuxin 123000, China","institution_ids":["https://openalex.org/I176808543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075721700","display_name":"Jiguang Dai","orcid":"https://orcid.org/0000-0003-1539-0673"},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiguang Dai","raw_affiliation_strings":["School of Geometrics, Liaoning Technical University, Fuxin 123000, China"],"affiliations":[{"raw_affiliation_string":"School of Geometrics, Liaoning Technical University, Fuxin 123000, China","institution_ids":["https://openalex.org/I176808543"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100661378","display_name":"Hong Zhu","orcid":"https://orcid.org/0000-0003-3527-9315"},"institutions":[{"id":"https://openalex.org/I4210141849","display_name":"National Administration of Surveying, Mapping and Geoinformation of China","ror":"https://ror.org/04z3map19","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210141849"]},{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Zhu","raw_affiliation_strings":["College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China","Satellite Surveying and Mapping Application Center, NASG, Beijing 100048, China"],"affiliations":[{"raw_affiliation_string":"College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Satellite Surveying and Mapping Application Center, NASG, Beijing 100048, China","institution_ids":["https://openalex.org/I4210141849"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052172440"],"corresponding_institution_ids":["https://openalex.org/I176808543"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.14807857,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2018","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994000196456909,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9965999722480774,"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"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9894000291824341,"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/algorithm","display_name":"Algorithm","score":0.5368170738220215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4598662853240967},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.4232315123081207},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3849360942840576},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.37077122926712036},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3428327441215515}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5368170738220215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4598662853240967},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.4232315123081207},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3849360942840576},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.37077122926712036},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3428327441215515}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2018/5902318","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2018/5902318","pdf_url":"http://downloads.hindawi.com/journals/js/2018/5902318.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},{"id":"pmh:oai:hindawi.com:10.1155/2018/5902318","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/5902318","pdf_url":null,"source":{"id":"https://openalex.org/S4306400340","display_name":"Hindawi Journal of Chemistry (Hindawi)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210126990","host_organization_name":"Hindawi (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210126990"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Research Article"}],"best_oa_location":{"id":"doi:10.1155/2018/5902318","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2018/5902318","pdf_url":"http://downloads.hindawi.com/journals/js/2018/5902318.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8299999833106995,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[{"id":"https://openalex.org/G2082826544","display_name":null,"funder_award_id":"Postdoctoral","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3000344968","display_name":null,"funder_award_id":"61601213","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4322054396","display_name":null,"funder_award_id":"2017M611252","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4452408956","display_name":null,"funder_award_id":"61601213","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5504793429","display_name":null,"funder_award_id":"2017M611252","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5612697103","display_name":null,"funder_award_id":"2017M","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G627910693","display_name":null,"funder_award_id":"160121","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2892781905.pdf","grobid_xml":"https://content.openalex.org/works/W2892781905.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1961066972","https://openalex.org/W1969807011","https://openalex.org/W1974760906","https://openalex.org/W1979233100","https://openalex.org/W1990097732","https://openalex.org/W2019452249","https://openalex.org/W2028555274","https://openalex.org/W2030920066","https://openalex.org/W2060879964","https://openalex.org/W2067396672","https://openalex.org/W2079069441","https://openalex.org/W2123291301","https://openalex.org/W2124899577","https://openalex.org/W2127243882","https://openalex.org/W2131168375","https://openalex.org/W2132984323","https://openalex.org/W2142271406","https://openalex.org/W2146189581","https://openalex.org/W2156692856","https://openalex.org/W2159807629","https://openalex.org/W2519630348","https://openalex.org/W2622633774","https://openalex.org/W2743268876","https://openalex.org/W3142091752","https://openalex.org/W4250281769"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2324615561","https://openalex.org/W2086120259","https://openalex.org/W2245170124","https://openalex.org/W2076393078","https://openalex.org/W3186982001","https://openalex.org/W1984402782","https://openalex.org/W2137941439","https://openalex.org/W2004200960"],"abstract_inverted_index":{"The":[0,75,207],"main":[1],"objective":[2],"of":[3,11,23,32,54,83,105,160,177,201,213],"this":[4],"paper":[5],"was":[6,142,195],"to":[7,99,183],"assess":[8],"the":[9,51,55,81,138,153,161,175,192,214,222],"capability":[10],"multisource":[12],"remote":[13],"sensing":[14],"imagery":[15,28,42,148,185],"fusion":[16,134,189,224],"for":[17,88,129,147,152,230],"coastal":[18,89,130,231],"zone":[19],"classification.":[20,131],"Five":[21],"scenes":[22,31],"Gaofen-":[24],"(GF-)":[25],"1":[26],"optic":[27],"and":[29,39,45,72,85,102,116,145,157,168,186,204,210,218],"four":[30],"synthetic":[33],"aperture":[34],"radar":[35],"(SAR)":[36],"(C-band":[37],"Sentinel-1":[38],"L-band":[40,86],"ALOS-2)":[41],"were":[43,164,216],"collected":[44],"matched.":[46],"Note":[47],"that":[48,78,94,174],"GF-1":[49,184],"is":[50,92,97,181],"first":[52],"satellite":[53],"China":[56],"high-resolution":[57],"earth":[58],"observation":[59],"system,":[60],"which":[61],"acquires":[62],"multispectral":[63],"data":[64],"with":[65,198],"decametric":[66],"spatial":[67],"resolution,":[68,71],"high":[69],"temporal":[70],"wide":[73],"coverage.":[74],"results":[76],"showed":[77],"based":[79,136],"on":[80,137],"comparison":[82],"C-":[84],"SAR":[87],"coverage,":[90],"it":[91],"verified":[93],"C":[95],"band":[96,101],"superior":[98,182],"L":[100],"parameter":[103],"subsets":[104],"<mml:math":[106,111,117],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[107,112,118],"id=\"M1\"><mml:msubsup><mml:mrow><mml:mi>\u03c3</mml:mi></mml:mrow><mml:mrow><mml:mi":[108],"mathvariant=\"normal\">v</mml:mi><mml:mi":[109,114],"mathvariant=\"normal\">v</mml:mi></mml:mrow><mml:mrow><mml:mn>0</mml:mn></mml:mrow></mml:msubsup></mml:math>,":[110],"id=\"M2\"><mml:msubsup><mml:mrow><mml:mi>\u03c3</mml:mi></mml:mrow><mml:mrow><mml:mi":[113],"mathvariant=\"normal\">h</mml:mi></mml:mrow><mml:mrow><mml:mn>0</mml:mn></mml:mrow></mml:msubsup></mml:math>,":[115],"id=\"M3\"><mml:msub><mml:mrow><mml:mi>D</mml:mi></mml:mrow><mml:mrow><mml:mi":[119],"mathvariant=\"normal\">c</mml:mi><mml:mi":[120],"mathvariant=\"normal\">r</mml:mi><mml:mi":[121],"mathvariant=\"normal\">o</mml:mi><mml:mi":[122],"mathvariant=\"normal\">s</mml:mi><mml:mi":[123],"mathvariant=\"normal\">s</mml:mi></mml:mrow></mml:msub></mml:math>":[124],"can":[125],"be":[126],"effectively":[127],"used":[128,146],"A":[132],"new":[133],"method":[135,163,180,225],"wavelet":[139],"transform":[140],"(WT)":[141],"also":[143],"proposed":[144,162,179,223],"fusion.":[149],"Statistical":[150],"values":[151],"mean,":[154],"entropy,":[155],"gradient,":[156],"correlation":[158],"coefficient":[159,209],"67.526,":[165],"7.321,":[166],"6.440,":[167],"0.955,":[169],"respectively.":[170],"We":[171],"therefore":[172],"conclude":[173],"result":[176],"our":[178],"traditional":[187],"HIS":[188],"results.":[190],"Finally,":[191],"classification":[193,202,215],"output":[194],"determined":[196],"along":[197],"an":[199],"assessment":[200],"accuracy":[203,212],"kappa":[205,208],"coefficient.":[206],"overall":[211],"0.8236":[217],"85.9774%,":[219],"respectively,":[220],"so":[221],"had":[226],"a":[227],"satisfying":[228],"performance":[229],"coverage":[232],"mapping.":[233]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}