{"id":"https://openalex.org/W4312374392","doi":"https://doi.org/10.1109/igarss46834.2022.9883235","title":"Synthetic Aperture Sonar Image Segmentation Using Adaptive, Learned Beam Steering","display_name":"Synthetic Aperture Sonar Image Segmentation Using Adaptive, Learned Beam Steering","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4312374392","doi":"https://doi.org/10.1109/igarss46834.2022.9883235"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9883235","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883235","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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/A5006398095","display_name":"Isaac D. Gerg","orcid":"https://orcid.org/0000-0002-3352-6864"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Isaac D. Gerg","raw_affiliation_strings":["Pennsylvania State University,Applied Research Laboratory,State College,PA,USA","Pennsylvania State University, School of EECS, University Park, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pennsylvania State University,Applied Research Laboratory,State College,PA,USA","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Pennsylvania State University, School of EECS, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014013504","display_name":"Vishal Monga","orcid":"https://orcid.org/0000-0002-5100-2263"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vishal Monga","raw_affiliation_strings":["Pennsylvania State University, School of EECS,University Park,PA,USA","Pennsylvania State University, School of EECS, University Park, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pennsylvania State University, School of EECS,University Park,PA,USA","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Pennsylvania State University, School of EECS, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"983","last_page":"986"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9998999834060669,"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":0.9998999834060669,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7066423892974854},{"id":"https://openalex.org/keywords/synthetic-aperture-sonar","display_name":"Synthetic aperture sonar","score":0.6724178194999695},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6468278169631958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5891765356063843},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5679916143417358},{"id":"https://openalex.org/keywords/sonar","display_name":"Sonar","score":0.5671398639678955},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.557240903377533},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5172548890113831},{"id":"https://openalex.org/keywords/aperture","display_name":"Aperture (computer memory)","score":0.4631962180137634},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.44658970832824707},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4402981698513031},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4231942594051361},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42062678933143616},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4110739231109619},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.34654995799064636},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.14717888832092285},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0955694317817688}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7066423892974854},{"id":"https://openalex.org/C181255713","wikidata":"https://www.wikidata.org/wiki/Q7662740","display_name":"Synthetic aperture sonar","level":3,"score":0.6724178194999695},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6468278169631958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5891765356063843},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5679916143417358},{"id":"https://openalex.org/C555745239","wikidata":"https://www.wikidata.org/wiki/Q133220","display_name":"Sonar","level":2,"score":0.5671398639678955},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.557240903377533},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5172548890113831},{"id":"https://openalex.org/C78336883","wikidata":"https://www.wikidata.org/wiki/Q4779385","display_name":"Aperture (computer memory)","level":2,"score":0.4631962180137634},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.44658970832824707},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4402981698513031},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4231942594051361},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42062678933143616},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4110739231109619},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.34654995799064636},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.14717888832092285},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0955694317817688},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss46834.2022.9883235","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883235","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8700000047683716,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[{"id":"https://openalex.org/G4328847069","display_name":null,"funder_award_id":"N00014-19-1-2638,N00014-19-1-2513","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1496354108","https://openalex.org/W1600253015","https://openalex.org/W1677182931","https://openalex.org/W1882647232","https://openalex.org/W1901129140","https://openalex.org/W1974112929","https://openalex.org/W2013023304","https://openalex.org/W2025928286","https://openalex.org/W2061736339","https://openalex.org/W2088727939","https://openalex.org/W2097005382","https://openalex.org/W2194775991","https://openalex.org/W2215989588","https://openalex.org/W2237446404","https://openalex.org/W2338577926","https://openalex.org/W2609325347","https://openalex.org/W2746314669","https://openalex.org/W2801273820","https://openalex.org/W2899663614","https://openalex.org/W2943572119","https://openalex.org/W2963351448","https://openalex.org/W2980287938","https://openalex.org/W3108496714","https://openalex.org/W3154279484","https://openalex.org/W4294567867","https://openalex.org/W6639824700","https://openalex.org/W6657139277","https://openalex.org/W6703612141","https://openalex.org/W6734035190","https://openalex.org/W6736938847","https://openalex.org/W6743428213","https://openalex.org/W6755977528","https://openalex.org/W6761737013"],"related_works":["https://openalex.org/W2610363864","https://openalex.org/W2159784633","https://openalex.org/W2143131560","https://openalex.org/W2544250077","https://openalex.org/W3093449225","https://openalex.org/W1987798457","https://openalex.org/W3022543425","https://openalex.org/W3197313368","https://openalex.org/W1974561532","https://openalex.org/W2086617181"],"abstract_inverted_index":{"Synthetic":[0],"aperture":[1],"sonar":[2],"(SAS)":[3],"produces":[4],"high":[5],"res-olution":[6],"imagery":[7,15],"of":[8,13,17,22,105],"the":[9,42,49,55,78,85],"seafloor.":[10],"Automatic":[11],"segmentation":[12,34,66],"this":[14,26],"is":[16,61,70],"interest":[18],"to":[19,47],"a":[20,30,71,90,103,109],"variety":[21,104],"ocean-studying":[23],"communities.":[24],"In":[25],"work,":[27],"we":[28],"propose":[29],"novel":[31],"supervised":[32],"image":[33,59],"method":[35],"using":[36],"adaptive,":[37],"learned":[38],"beam":[39,80],"steering":[40,81],"in":[41,45,54,63],"k-space":[43,86],"domain":[44],"order":[46],"exploit":[48],"aspect":[50],"dependent":[51],"information":[52],"available":[53],"single-look-complex":[56],"(SLC)":[57],"SAS":[58,65,93],"which":[60],"overlooked":[62],"current":[64],"methods.":[67],"Our":[68],"proposal":[69,98],"deep":[72],"neural":[73],"network":[74],"architecture":[75],"designed":[76],"around":[77],"domain-specific":[79],"geometry":[82],"conveyed":[83],"by":[84],"domain.":[87],"Results":[88],"on":[89],"small":[91],"real-world":[92],"dataset":[94],"demonstrate":[95],"that":[96],"our":[97],"gives":[99],"improved":[100],"results":[101],"for":[102],"seafloor":[106],"classes":[107],"over":[108],"state-of-the-art":[110],"(SOTA)":[111],"U-Net.":[112]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
