{"id":"https://openalex.org/W4416771783","doi":"https://doi.org/10.1109/lgrs.2025.3632889","title":"HFSM: A Hierarchical Feature Structure-Driven Method for Multisource Sonar Image Registration of Subsea Pipelines","display_name":"HFSM: A Hierarchical Feature Structure-Driven Method for Multisource Sonar Image Registration of Subsea Pipelines","publication_year":2025,"publication_date":"2025-11-14","ids":{"openalex":"https://openalex.org/W4416771783","doi":"https://doi.org/10.1109/lgrs.2025.3632889"},"language":null,"primary_location":{"id":"doi:10.1109/lgrs.2025.3632889","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3632889","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5089136469","display_name":"Jingyao Zhang","orcid":"https://orcid.org/0000-0001-5605-8250"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingyao Zhang","raw_affiliation_strings":["College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013579299","display_name":"Xuerong Cui","orcid":"https://orcid.org/0000-0002-2326-9518"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuerong Cui","raw_affiliation_strings":["College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100629420","display_name":"Juan Li","orcid":"https://orcid.org/0009-0008-2887-2691"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Li","raw_affiliation_strings":["College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100824896","display_name":"Song Dai","orcid":"https://orcid.org/0009-0003-5413-7635"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Dai","raw_affiliation_strings":["College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100735301","display_name":"Bin Jiang","orcid":"https://orcid.org/0000-0002-4044-885X"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Jiang","raw_affiliation_strings":["College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036157374","display_name":"Lei Li","orcid":"https://orcid.org/0000-0002-3437-8453"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Li","raw_affiliation_strings":["College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5089136469"],"corresponding_institution_ids":["https://openalex.org/I4210162190"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35822038,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9592000246047974,"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":0.9592000246047974,"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/T12624","display_name":"Maritime and Coastal Archaeology","score":0.0071000000461936,"subfield":{"id":"https://openalex.org/subfields/1204","display_name":"Archeology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.002899999963119626,"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/subsea","display_name":"Subsea","score":0.8582000136375427},{"id":"https://openalex.org/keywords/sonar","display_name":"Sonar","score":0.6935999989509583},{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.6934999823570251},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6297000050544739},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5954999923706055},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49459999799728394},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.44130000472068787},{"id":"https://openalex.org/keywords/bathymetry","display_name":"Bathymetry","score":0.392300009727478},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.38029998540878296}],"concepts":[{"id":"https://openalex.org/C2777737062","wikidata":"https://www.wikidata.org/wiki/Q14898686","display_name":"Subsea","level":2,"score":0.8582000136375427},{"id":"https://openalex.org/C555745239","wikidata":"https://www.wikidata.org/wiki/Q133220","display_name":"Sonar","level":2,"score":0.6935999989509583},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.6934999823570251},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6759999990463257},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6541000008583069},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6352999806404114},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6297000050544739},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5954999923706055},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49459999799728394},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.44130000472068787},{"id":"https://openalex.org/C174943157","wikidata":"https://www.wikidata.org/wiki/Q810826","display_name":"Bathymetry","level":2,"score":0.392300009727478},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.38029998540878296},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3799999952316284},{"id":"https://openalex.org/C33613203","wikidata":"https://www.wikidata.org/wiki/Q468469","display_name":"Seabed","level":2,"score":0.3797000050544739},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.3571999967098236},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35440000891685486},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.3409000039100647},{"id":"https://openalex.org/C145424490","wikidata":"https://www.wikidata.org/wiki/Q618465","display_name":"Remotely operated underwater vehicle","level":4,"score":0.3248000144958496},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.2971999943256378},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.28519999980926514},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.28299999237060547},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.2800000011920929},{"id":"https://openalex.org/C2776355146","wikidata":"https://www.wikidata.org/wiki/Q357527","display_name":"Side-scan sonar","level":3,"score":0.2797999978065491},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2745000123977661},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.26669999957084656},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.2655999958515167},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.25769999623298645},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.25769999623298645}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2025.3632889","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3632889","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8075867469","display_name":null,"funder_award_id":"62471494","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8655643622","display_name":null,"funder_award_id":"52171341","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":12,"referenced_works":["https://openalex.org/W2119605622","https://openalex.org/W2151103935","https://openalex.org/W2954629009","https://openalex.org/W2996444841","https://openalex.org/W4281696432","https://openalex.org/W4388153174","https://openalex.org/W4388262903","https://openalex.org/W4390670352","https://openalex.org/W4394851328","https://openalex.org/W4400579903","https://openalex.org/W4404914400","https://openalex.org/W4411086189"],"related_works":[],"abstract_inverted_index":{"Subsea":[0,113],"pipelines":[1],"are":[2],"prone":[3],"to":[4,7,169],"exposure":[5],"due":[6],"natural":[8],"factors":[9],"such":[10,76],"as":[11,77],"earthquakes":[12],"and":[13,86,150,179,204,207],"vortices,":[14],"which":[15,126,146],"necessitates":[16],"regular":[17],"condition":[18],"monitoring.":[19],"Multi-beam":[20],"echo":[21],"sounders":[22],"(MBES)":[23],"can":[24,48],"provide":[25],"high-precision":[26,64],"seabed":[27,38],"topographic":[28],"information,":[29],"while":[30],"side-scan":[31],"sonar":[32,94],"(SSS)":[33],"excels":[34],"at":[35],"capturing":[36],"high-resolution":[37],"texture":[39],"features.":[40],"The":[41,184],"integration":[42],"of":[43,57,112,133,174,186,202],"these":[44],"two":[45],"data":[46],"sources":[47],"complement":[49],"each":[50],"other,":[51],"thereby":[52],"improving":[53],"the":[54,117,129,171,187,199],"detection":[55,124],"accuracy":[56],"subsea":[58,99,208],"pipelines.":[59],"To":[60],"achieve":[61],"effective":[62],"fusion,":[63],"spatial":[65,130,151],"registration":[66,71,96,201],"is":[67,144,167,190],"required.":[68],"However,":[69],"existing":[70],"algorithms":[72],"still":[73],"face":[74],"challenges":[75],"uneven":[78],"feature":[79,134,141,182],"point":[80],"distribution,":[81],"dependence":[82],"on":[83],"prior":[84],"knowledge,":[85],"unstable":[87],"matching.":[88,183],"This":[89],"paper":[90],"proposes":[91],"a":[92,120,137,160],"multi-source":[93],"image":[95],"algorithm":[97],"for":[98,107,198],"pipelines,":[100],"named":[101],"A":[102],"Hierarchical":[103],"Feature":[104],"Structure-Driven":[105],"Method":[106],"Multi-Source":[108],"Sonar":[109],"Image":[110],"Registration":[111],"Pipelines":[114],"(HFSM).":[115],"First,":[116],"method":[118,189],"designs":[119],"grid-based":[121],"multi-scale":[122],"corner":[123],"(MS-CD),":[125],"effectively":[127],"enhances":[128],"distribution":[131,153],"balance":[132],"points.":[135],"Next,":[136],"multi-window":[138],"geometric-texture":[139],"joint":[140],"descriptor":[142],"(MW-GTD)":[143],"proposed,":[145],"combines":[147],"direction-sensitive":[148],"curvature":[149],"shadow":[152],"features":[154],"within":[155],"different":[156],"scale":[157],"windows.":[158],"Finally,":[159],"multi-layer":[161,181],"coarse-to-fine":[162],"guided":[163],"matching":[164,172],"strategy":[165],"(ML-CFGM)":[166],"introduced":[168],"enhance":[170],"stability":[173],"images":[175,206],"in":[176],"feature-sparse":[177],"regions":[178],"realize":[180],"superiority":[185],"proposed":[188],"validated":[191],"with":[192],"real-world":[193],"data,":[194],"providing":[195],"technical":[196],"support":[197],"efficient":[200],"MBES":[203],"SSS":[205],"pipeline":[209],"detection.":[210]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-14T00:00:00"}
