{"id":"https://openalex.org/W2587690156","doi":"https://doi.org/10.1109/smc.2016.7844825","title":"Seafloor segmentation using combined texture features of sidescan sonar images","display_name":"Seafloor segmentation using combined texture features of sidescan sonar images","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2587690156","doi":"https://doi.org/10.1109/smc.2016.7844825","mag":"2587690156"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2016.7844825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2016.7844825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},"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/A5081268493","display_name":"Guanying Huo","orcid":"https://orcid.org/0000-0002-2568-8249"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanying Huo","raw_affiliation_strings":["College of Internet of Things Engineering, Hohai University, Changzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Internet of Things Engineering, Hohai University, Changzhou, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046603605","display_name":"Qingwu Li","orcid":"https://orcid.org/0000-0003-3224-9831"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingwu Li","raw_affiliation_strings":["College of Internet of Things Engineering, Hohai University, Changzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Internet of Things Engineering, Hohai University, Changzhou, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100735883","display_name":"Yan Zhou","orcid":"https://orcid.org/0000-0002-3213-8229"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Zhou","raw_affiliation_strings":["Hohai University, Nanjing, Jiangsu, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hohai University, Nanjing, Jiangsu, CN","institution_ids":["https://openalex.org/I163340411"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I163340411"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"003794","last_page":"003799"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9997000098228455,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9997000098228455,"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/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/T13282","display_name":"Automated Road and Building Extraction","score":0.9794999957084656,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7414771318435669},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7350949048995972},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6587614417076111},{"id":"https://openalex.org/keywords/sonar","display_name":"Sonar","score":0.649559497833252},{"id":"https://openalex.org/keywords/contourlet","display_name":"Contourlet","score":0.649243950843811},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.5998741388320923},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5609477758407593},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5579857230186462},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5467511415481567},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.528148889541626},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5204196572303772},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5197219848632812},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5064350366592407},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4706130623817444},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.46422478556632996},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.444121390581131},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.4118916988372803},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.14953437447547913},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.06861138343811035}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7414771318435669},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7350949048995972},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6587614417076111},{"id":"https://openalex.org/C555745239","wikidata":"https://www.wikidata.org/wiki/Q133220","display_name":"Sonar","level":2,"score":0.649559497833252},{"id":"https://openalex.org/C20479862","wikidata":"https://www.wikidata.org/wiki/Q5165589","display_name":"Contourlet","level":4,"score":0.649243950843811},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.5998741388320923},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5609477758407593},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5579857230186462},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5467511415481567},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.528148889541626},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5204196572303772},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5197219848632812},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5064350366592407},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4706130623817444},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.46422478556632996},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.444121390581131},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.4118916988372803},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.14953437447547913},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.06861138343811035},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2016.7844825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2016.7844825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8600000143051147,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1886306325","https://openalex.org/W2044465660","https://openalex.org/W2098347925","https://openalex.org/W2106002835","https://openalex.org/W2117438495","https://openalex.org/W2117853853","https://openalex.org/W2118652164","https://openalex.org/W2119261592","https://openalex.org/W2124046407","https://openalex.org/W2124915403","https://openalex.org/W2129526018","https://openalex.org/W2137518016","https://openalex.org/W2140280408","https://openalex.org/W2140742677","https://openalex.org/W2149086312","https://openalex.org/W2150666871","https://openalex.org/W2344446275","https://openalex.org/W4255443310"],"related_works":["https://openalex.org/W1973473859","https://openalex.org/W2039333314","https://openalex.org/W2356416985","https://openalex.org/W2358940597","https://openalex.org/W1622964048","https://openalex.org/W1989187133","https://openalex.org/W30315714","https://openalex.org/W2362680912","https://openalex.org/W2361105225","https://openalex.org/W2473079406"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"an":[3],"unsupervised":[4],"seafloor":[5,93,121],"segmentation":[6,99,122],"method":[7,117],"using":[8,102],"combined":[9,57],"texture":[10],"features":[11,21,55],"of":[12,20,54,78,92],"sidescan":[13],"sonar":[14,96],"images":[15],"is":[16,72,85,100],"proposed.":[17],"Two":[18],"sets":[19,53],"are":[22,56],"considered":[23],"in":[24,44,95],"the":[25,30,33,39,42,45,76,90,107,115,120],"proposed":[26,116],"algorithm.":[27],"One":[28],"calculates":[29],"statistics":[31,43],"from":[32],"gray-level":[34],"co-occurrence":[35],"matrix":[36],"(GLCM),":[37],"and":[38],"other":[40],"obtains":[41],"nonsubsampled":[46],"contourlet":[47],"transform":[48],"domain":[49],"(NSCT).":[50],"The":[51,82,98],"two":[52],"together":[58],"to":[59,74,87],"produce":[60],"a":[61],"multi-dimensional":[62],"feature":[63,80,109],"vector":[64],"for":[65],"each":[66,79],"pixel.":[67],"Principal":[68],"component":[69],"analysis":[70],"(PCA)":[71],"used":[73],"reduce":[75],"dimensionality":[77],"vector.":[81],"Silhouette":[83],"index":[84],"adopted":[86],"automatically":[88],"estimate":[89],"number":[91],"types":[94],"images.":[97],"achieved":[101],"k-means":[103],"clustering":[104],"based":[105],"on":[106],"compact":[108],"vectors.":[110],"Experimental":[111],"results":[112],"show":[113],"that":[114],"can":[118],"improve":[119],"accuracy.":[123]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}