{"id":"https://openalex.org/W4402170665","doi":"https://doi.org/10.1109/tgrs.2024.3453954","title":"Outlier Filtering for 3-D Sonar Data via Rectangular Information Granulation","display_name":"Outlier Filtering for 3-D Sonar Data via Rectangular Information Granulation","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402170665","doi":"https://doi.org/10.1109/tgrs.2024.3453954"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3453954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3453954","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","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/A5047740642","display_name":"Yunlong Wu","orcid":"https://orcid.org/0000-0002-5487-5078"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunlong Wu","raw_affiliation_strings":["School of Geography and Information Engineering and the National Engineering Research Center of Geographic Information System, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-5487-5078","affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering and the National Engineering Research Center of Geographic Information System, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027387383","display_name":"Zhengjun He","orcid":"https://orcid.org/0009-0000-6490-8905"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengjun He","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354313","display_name":"Shaobo Li","orcid":"https://orcid.org/0000-0002-1208-7778"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaobo Li","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-1208-7778","affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100388276","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0003-1006-6372"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhang","raw_affiliation_strings":["Key Laboratory of Geological Survey and Evaluation of Ministry of Education, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-1006-6372","affiliations":[{"raw_affiliation_string":"Key Laboratory of Geological Survey and Evaluation of Ministry of Education, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076583315","display_name":"Bing Ji","orcid":"https://orcid.org/0000-0003-1326-4120"},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Ji","raw_affiliation_strings":["Department of Navigation, Naval University of Engineering, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Navigation, Naval University of Engineering, Wuhan, China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017920898","display_name":"Sheng Du","orcid":"https://orcid.org/0000-0001-8396-7388"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Du","raw_affiliation_strings":["School of Automation, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-8396-7388","affiliations":[{"raw_affiliation_string":"School of Automation, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8237,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.68699972,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11186","display_name":"Hydrology and Drought Analysis","score":0.9779000282287598,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sonar","display_name":"Sonar","score":0.7060861587524414},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5395507216453552},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5325943827629089},{"id":"https://openalex.org/keywords/granulation","display_name":"Granulation","score":0.46274521946907043},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.44483160972595215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3842316269874573},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37775471806526184},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.35267430543899536}],"concepts":[{"id":"https://openalex.org/C555745239","wikidata":"https://www.wikidata.org/wiki/Q133220","display_name":"Sonar","level":2,"score":0.7060861587524414},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5395507216453552},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5325943827629089},{"id":"https://openalex.org/C88463166","wikidata":"https://www.wikidata.org/wiki/Q1543243","display_name":"Granulation","level":2,"score":0.46274521946907043},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.44483160972595215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3842316269874573},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37775471806526184},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.35267430543899536},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3453954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3453954","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2954430495","display_name":null,"funder_award_id":"42274111","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5401922426","display_name":null,"funder_award_id":"2022190","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5451777174","display_name":null,"funder_award_id":"42274113","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5962278366","display_name":"\u4e2d\u56fd\u5927\u9646\u591a\u5c3a\u5ea6\u65f6\u53d8\u91cd\u529b\u573a\u5efa\u6a21\u53ca\u5730\u9707\u91cd\u529b\u6548\u5e94\u7814\u7a76","funder_award_id":"41931074","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6304853838","display_name":null,"funder_award_id":"2021237","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W48960425","https://openalex.org/W84227776","https://openalex.org/W1499937184","https://openalex.org/W1504584843","https://openalex.org/W1786686177","https://openalex.org/W1844966103","https://openalex.org/W1995450389","https://openalex.org/W2027781877","https://openalex.org/W2037671866","https://openalex.org/W2040335052","https://openalex.org/W2048894958","https://openalex.org/W2072702059","https://openalex.org/W2104353739","https://openalex.org/W2109825458","https://openalex.org/W2436494909","https://openalex.org/W2792376557","https://openalex.org/W2796340014","https://openalex.org/W2990786490","https://openalex.org/W2991579862","https://openalex.org/W3011629730","https://openalex.org/W3132819222","https://openalex.org/W3133474646","https://openalex.org/W3180594598","https://openalex.org/W4206521737","https://openalex.org/W4313169255","https://openalex.org/W4319069093","https://openalex.org/W4387037044","https://openalex.org/W4398787858","https://openalex.org/W6601946194","https://openalex.org/W6603383834"],"related_works":["https://openalex.org/W2123804754","https://openalex.org/W1485197043","https://openalex.org/W2895629587","https://openalex.org/W2025546910","https://openalex.org/W1995249265","https://openalex.org/W2467996332","https://openalex.org/W2124706364","https://openalex.org/W2352261257","https://openalex.org/W2265024289","https://openalex.org/W2351904857"],"abstract_inverted_index":{"The":[0,193,214],"wide":[1],"applications":[2],"of":[3,45,63,106,130,143,218],"3-D":[4,26,65,107,238],"sonar":[5,27,66,108,239],"measurements":[6],"are":[7,29,40],"severely":[8],"limited":[9],"by":[10,58,75],"factors":[11,39],"such":[12],"as":[13],"water":[14],"column":[15],"interference,":[16],"acoustic":[17],"shadows,":[18],"complex":[19,81,246],"structures,":[20],"and":[21,110,119,146,165,171,209,224],"scattering":[22],"noise.":[23],"Outliers":[24],"in":[25,183,189,245],"data":[28,97,100,132,242],"difficult":[30],"to":[31,79,102,173,236],"remove":[32],"using":[33],"traditional":[34],"methods":[35],"because":[36],"the":[37,60,64,69,94,103,126,139,153,162,166,174,179,184,190,198,219,225,237],"inference":[38],"different":[41],"from":[42],"other":[43],"types":[44],"point":[46,71,82,95,211,240],"cloud":[47,72,83,96,212,241],"data.":[48,67,213],"Therefore,":[49],"this":[50],"article":[51],"presents":[52],"a":[53,148],"novel":[54],"outlier":[55,158],"filtering":[56,201,243],"method":[57,78,123,136,160,202],"analyzing":[59],"sequential":[61],"characteristics":[62,142],"First,":[68],"underwater":[70,247],"is":[73,133,169,222,229],"processed":[74],"super-voxel":[76,111],"clustering":[77],"decompose":[80],"structures":[84],"into":[85,98],"several":[86],"super-voxels":[87],"with":[88],"simple":[89],"structures.":[90],"Then":[91],"we":[92],"convert":[93],"subsequence":[99,131,145],"according":[101],"surveying":[104],"principle":[105,164],"scanning":[109],"results.":[112],"After":[113],"that,":[114],"an":[115,157],"anomaly":[116,120],"score":[117,168],"calculation":[118],"region":[121],"determination":[122],"based":[124],"on":[125,152],"rectangular":[127],"information":[128],"granulation":[129],"proposed.":[134],"This":[135],"can":[137,232],"capture":[138],"intrinsic":[140],"changing":[141],"each":[144],"has":[147,203],"good":[149,204],"recognition":[150],"effect":[151],"abnormal":[154,167,175],"subsequence.":[155],"Finally,":[156],"detection":[159],"combining":[161],"Grubbs":[163],"proposed":[170,199],"applied":[172,235],"subsequences,":[176],"which":[177,231],"considers":[178],"distortion":[180],"not":[181],"only":[182],"vertical":[185,210],"direction":[186],"but":[187],"also":[188],"horizontal":[191,208],"direction.":[192],"experimental":[194],"results":[195,221],"show":[196],"that":[197],"comprehensive":[200],"accuracy":[205,217],"for":[206],"both":[207],"average":[215,226],"overall":[216],"test":[220],"99.1%,":[223],"kappa":[227],"coefficient":[228],"0.88,":[230],"be":[233],"effectively":[234],"processing":[244],"areas.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2024-09-04T00:00:00"}