{"id":"https://openalex.org/W4200456912","doi":"https://doi.org/10.1109/ispacs51563.2021.9650982","title":"Standardization of Sonar Images by Conditional Random Fields for Fish Segmentation With Mask R-CNN","display_name":"Standardization of Sonar Images by Conditional Random Fields for Fish Segmentation With Mask R-CNN","publication_year":2021,"publication_date":"2021-11-16","ids":{"openalex":"https://openalex.org/W4200456912","doi":"https://doi.org/10.1109/ispacs51563.2021.9650982"},"language":"en","primary_location":{"id":"doi:10.1109/ispacs51563.2021.9650982","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs51563.2021.9650982","pdf_url":null,"source":{"id":"https://openalex.org/S4363605678","display_name":"2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","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/A5103129411","display_name":"Chin-Chun Chang","orcid":"https://orcid.org/0000-0002-4566-8683"},"institutions":[{"id":"https://openalex.org/I153512688","display_name":"National Taiwan Ocean University","ror":"https://ror.org/03bvvnt49","country_code":"TW","type":"education","lineage":["https://openalex.org/I153512688"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chin-Chun Chang","raw_affiliation_strings":["Dept. of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan","institution_ids":["https://openalex.org/I153512688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025513270","display_name":"Yen\u2010Po Wang","orcid":"https://orcid.org/0000-0002-3769-0020"},"institutions":[{"id":"https://openalex.org/I153512688","display_name":"National Taiwan Ocean University","ror":"https://ror.org/03bvvnt49","country_code":"TW","type":"education","lineage":["https://openalex.org/I153512688"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yen-Po Wang","raw_affiliation_strings":["Dept. of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan","institution_ids":["https://openalex.org/I153512688"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101839507","display_name":"Shyi\u2010Chyi Cheng","orcid":"https://orcid.org/0000-0003-4752-0460"},"institutions":[{"id":"https://openalex.org/I153512688","display_name":"National Taiwan Ocean University","ror":"https://ror.org/03bvvnt49","country_code":"TW","type":"education","lineage":["https://openalex.org/I153512688"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shyi-Chyi Cheng","raw_affiliation_strings":["Dept. of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan","institution_ids":["https://openalex.org/I153512688"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103129411"],"corresponding_institution_ids":["https://openalex.org/I153512688"],"apc_list":null,"apc_paid":null,"fwci":0.3763,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51678952,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/T11698","display_name":"Underwater Acoustics Research","score":0.9787999987602234,"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":0.9193000197410583,"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/sonar","display_name":"Sonar","score":0.8358150720596313},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7372056245803833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7167290449142456},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7146210670471191},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6785023212432861},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6174943447113037},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5743670463562012},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5661839246749878},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5202696919441223},{"id":"https://openalex.org/keywords/standardization","display_name":"Standardization","score":0.5156015753746033},{"id":"https://openalex.org/keywords/fish-actinopterygii","display_name":"Fish <Actinopterygii>","score":0.4211879372596741},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4199274182319641},{"id":"https://openalex.org/keywords/fishery","display_name":"Fishery","score":0.09132713079452515}],"concepts":[{"id":"https://openalex.org/C555745239","wikidata":"https://www.wikidata.org/wiki/Q133220","display_name":"Sonar","level":2,"score":0.8358150720596313},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7372056245803833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7167290449142456},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7146210670471191},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6785023212432861},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6174943447113037},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5743670463562012},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5661839246749878},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5202696919441223},{"id":"https://openalex.org/C188087704","wikidata":"https://www.wikidata.org/wiki/Q369577","display_name":"Standardization","level":2,"score":0.5156015753746033},{"id":"https://openalex.org/C2909208804","wikidata":"https://www.wikidata.org/wiki/Q127282","display_name":"Fish <Actinopterygii>","level":2,"score":0.4211879372596741},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4199274182319641},{"id":"https://openalex.org/C505870484","wikidata":"https://www.wikidata.org/wiki/Q180538","display_name":"Fishery","level":1,"score":0.09132713079452515},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ispacs51563.2021.9650982","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs51563.2021.9650982","pdf_url":null,"source":{"id":"https://openalex.org/S4363605678","display_name":"2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.8600000143051147,"display_name":"Life below water"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310116","display_name":"Council of Agriculture","ror":"https://ror.org/0358yps07"},{"id":"https://openalex.org/F4320322775","display_name":"Fisheries Agency","ror":"https://ror.org/02zdz1m23"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2124592697","https://openalex.org/W2732931556","https://openalex.org/W2806070179"],"related_works":["https://openalex.org/W2378767206","https://openalex.org/W1540871478","https://openalex.org/W328308450","https://openalex.org/W282641168","https://openalex.org/W2376963063","https://openalex.org/W2066396794","https://openalex.org/W2366734808","https://openalex.org/W2002476357","https://openalex.org/W2391444248","https://openalex.org/W2390716080"],"abstract_inverted_index":{"Imaging":[0],"sonar":[1,28,80],"systems":[2],"are":[3],"widely":[4],"used":[5],"for":[6,24,43,53,88],"monitoring":[7],"fish":[8,26,55,90,94],"behavior":[9],"in":[10,27],"turbid":[11],"or":[12],"low":[13],"ambient":[14],"light":[15],"waters.":[16],"In":[17],"this":[18],"paper,":[19],"Mask":[20,44,50,65,76,83],"R-CNN":[21,45,51,66,77,84],"is":[22,36,72,96],"adopted":[23],"segmenting":[25],"images.":[29,81],"A":[30],"preprocessing":[31],"convolutional":[32],"neural":[33],"network":[34],"(PreCNN)":[35],"proposed":[37],"to":[38,47,57,92],"provide":[39],"\"standardized\"":[40],"feature":[41],"maps":[42],"and":[46],"ease":[48],"applying":[49],"trained":[52,87],"one":[54,89],"farm":[56,91],"the":[58,68],"others.":[59],"Experimental":[60],"results":[61],"have":[62],"shown":[63],"that":[64],"on":[67,79],"output":[69],"of":[70],"PreCNN":[71,86],"more":[73,98],"accurate":[74],"than":[75],"directly":[78],"Applying":[82],"plus":[85],"new":[93],"farms":[95],"also":[97],"effective.":[99]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
