{"id":"https://openalex.org/W1488292483","doi":"https://doi.org/10.1007/11510888_65","title":"Aquaculture Feature Extraction from Satellite Image Using Independent Component Analysis","display_name":"Aquaculture Feature Extraction from Satellite Image Using Independent Component Analysis","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W1488292483","doi":"https://doi.org/10.1007/11510888_65","mag":"1488292483"},"language":"en","primary_location":{"id":"doi:10.1007/11510888_65","is_oa":false,"landing_page_url":"https://doi.org/10.1007/11510888_65","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"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/A5007383621","display_name":"Jong-Gyu Han","orcid":"https://orcid.org/0000-0003-1514-8107"},"institutions":[{"id":"https://openalex.org/I4210142421","display_name":"Korea Institute of Geoscience and Mineral Resources","ror":"https://ror.org/044k0pw44","country_code":"KR","type":"facility","lineage":["https://openalex.org/I4210142421"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"JongGyu Han","raw_affiliation_strings":["Korea Institute of Geosciences & Mineral Resources, 305-350, 30 Gajung-dong Yusong-ku, Daejeon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea Institute of Geosciences & Mineral Resources, 305-350, 30 Gajung-dong Yusong-ku, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I4210142421"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113456424","display_name":"Kwang-Hoon Chi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142421","display_name":"Korea Institute of Geoscience and Mineral Resources","ror":"https://ror.org/044k0pw44","country_code":"KR","type":"facility","lineage":["https://openalex.org/I4210142421"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"KwangHoon Chi","raw_affiliation_strings":["Korea Institute of Geosciences & Mineral Resources, 305-350, 30 Gajung-dong Yusong-ku, Daejeon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea Institute of Geosciences & Mineral Resources, 305-350, 30 Gajung-dong Yusong-ku, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I4210142421"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005844140","display_name":"YeonKwang Yeon","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142421","display_name":"Korea Institute of Geoscience and Mineral Resources","ror":"https://ror.org/044k0pw44","country_code":"KR","type":"facility","lineage":["https://openalex.org/I4210142421"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"YeonKwang Yeon","raw_affiliation_strings":["Korea Institute of Geosciences & Mineral Resources, 305-350, 30 Gajung-dong Yusong-ku, Daejeon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea Institute of Geosciences & Mineral Resources, 305-350, 30 Gajung-dong Yusong-ku, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I4210142421"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210142421"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.04615385,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"660","last_page":"666"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9760000109672546,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/feature-extraction","display_name":"Feature extraction","score":0.7370448708534241},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7184948921203613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6841632723808289},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6196520328521729},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5730965733528137},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.5572583079338074},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5384355187416077},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46476492285728455},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4274543821811676},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3364017605781555},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32958388328552246},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.30213022232055664},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12497889995574951}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7370448708534241},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7184948921203613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6841632723808289},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6196520328521729},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5730965733528137},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.5572583079338074},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5384355187416077},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46476492285728455},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4274543821811676},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3364017605781555},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32958388328552246},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.30213022232055664},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12497889995574951},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/11510888_65","is_oa":false,"landing_page_url":"https://doi.org/10.1007/11510888_65","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"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/W2105909330","https://openalex.org/W2108384452","https://openalex.org/W2141224535","https://openalex.org/W2141622014","https://openalex.org/W2153302588","https://openalex.org/W2492794003","https://openalex.org/W4205778870","https://openalex.org/W4238957295"],"related_works":["https://openalex.org/W2312819198","https://openalex.org/W3036032503","https://openalex.org/W2941415828","https://openalex.org/W4280622786","https://openalex.org/W2561491196","https://openalex.org/W2319500318","https://openalex.org/W4379791551","https://openalex.org/W1997438849","https://openalex.org/W4312753625","https://openalex.org/W2356662304"],"abstract_inverted_index":null,"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}