{"id":"https://openalex.org/W4402260954","doi":"https://doi.org/10.1109/igarss53475.2024.10641953","title":"LiDAR-to-SAR Point Cloud Segmentation via Unsupervised Domain Adaptation Network","display_name":"LiDAR-to-SAR Point Cloud Segmentation via Unsupervised Domain Adaptation Network","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402260954","doi":"https://doi.org/10.1109/igarss53475.2024.10641953"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10641953","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10641953","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","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/A5070144365","display_name":"Muhan Wang","orcid":"https://orcid.org/0000-0001-8574-0064"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Muhan Wang","raw_affiliation_strings":["Chinese Academy of Sciences,China National Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute,Beijing,China,100190"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,China National Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute,Beijing,China,100190","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110484098","display_name":"Xiaolan Qiu","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolan Qiu","raw_affiliation_strings":["Chinese Academy of Sciences,China National Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute,Beijing,China,100190"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,China National Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute,Beijing,China,100190","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085450798","display_name":"Silin Gao","orcid":"https://orcid.org/0000-0002-8768-4470"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Silin Gao","raw_affiliation_strings":["University of Chinese Academy of Sciences,School of Electronic, Electrical and Communication Engineering,Beijing,China,100094"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences,School of Electronic, Electrical and Communication Engineering,Beijing,China,100094","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115587779","display_name":"Zhe Zhang","orcid":"https://orcid.org/0009-0000-2056-3351"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Zhang","raw_affiliation_strings":["Suzhou Aerospace Information Research Institute,Suzhou Key Laboratory of Microwave Imaging, Processing and Application Technology,Suzhou,China,215123"],"affiliations":[{"raw_affiliation_string":"Suzhou Aerospace Information Research Institute,Suzhou Key Laboratory of Microwave Imaging, Processing and Application Technology,Suzhou,China,215123","institution_ids":["https://openalex.org/I4210137199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070144365"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"],"apc_list":null,"apc_paid":null,"fwci":1.3045,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.86998476,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"10808","last_page":"10812"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9979000091552734,"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"}},"topics":[{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9979000091552734,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9973000288009644,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/lidar","display_name":"Lidar","score":0.7993519306182861},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7177037596702576},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6967038512229919},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5905370712280273},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.50751131772995},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.49211472272872925},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4752621054649353},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4704118072986603},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4452435374259949},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4298708438873291},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3746914863586426},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18065345287322998},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.05694413185119629}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7993519306182861},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7177037596702576},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6967038512229919},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5905370712280273},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.50751131772995},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.49211472272872925},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4752621054649353},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4704118072986603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4452435374259949},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4298708438873291},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3746914863586426},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18065345287322998},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.05694413185119629},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"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},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10641953","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10641953","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1973644502","https://openalex.org/W2048289234","https://openalex.org/W2079299474","https://openalex.org/W2127271355","https://openalex.org/W2142212280","https://openalex.org/W2884367402","https://openalex.org/W2963125977","https://openalex.org/W2991216808","https://openalex.org/W3036406207","https://openalex.org/W4206398307","https://openalex.org/W4206573688","https://openalex.org/W4242710771","https://openalex.org/W4312102476","https://openalex.org/W4312894203","https://openalex.org/W6639480849","https://openalex.org/W6847651851"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W4293094720","https://openalex.org/W2739701376","https://openalex.org/W4399442168","https://openalex.org/W2114282491","https://openalex.org/W4394775207"],"abstract_inverted_index":{"Synthetic":[0],"Aperture":[1],"Radar":[2],"(SAR)":[3],"3D":[4,43,118,166],"point":[5,45,63,76,105,168],"cloud":[6,46,169],"reconstruction":[7,44],"improves":[8],"target":[9],"identification":[10],"by":[11,112],"mitigating":[12],"issues":[13],"like":[14],"overlay":[15],"masking":[16],"and":[17,33,37,158],"shadows":[18],"found":[19],"in":[20,35,41,68,102],"2D":[21],"SAR":[22,30,42,62,85,165],"image":[23],"projections.":[24],"Nevertheless,":[25],"challenges":[26],"arise":[27],"from":[28,59,131],"limited":[29],"data":[31,144,151],"availability":[32],"complexities":[34],"deciphering":[36],"labeling,":[38],"hindering":[39],"research":[40],"semantic":[47,119,170],"segmentation.":[48,171],"To":[49],"address":[50],"these":[51],"hurdles,":[52],"we":[53,72,136],"propose":[54],"an":[55],"alternative":[56],"training":[57,79,86],"approach\u2014shifting":[58],"LiDAR":[60,70,75,132],"to":[61,80,97,108,133,147],"clouds.":[64],"Leveraging":[65],"benchmark":[66],"datasets":[67],"the":[69,82,156],"domain,":[71],"advocate":[73],"using":[74],"clouds":[77],"for":[78,128,164],"counter":[81],"scarcity":[83],"of":[84,160],"sets.":[87],"However,":[88],"applying":[89],"a":[90,98,117,138],"segmentation":[91,120],"model":[92],"across":[93],"different":[94],"domains":[95],"leads":[96],"performance":[99],"decline,":[100],"particularly":[101],"cross-modal":[103,129],"SAR-reconstructed":[104],"clouds,":[106],"attributed":[107],"distinct":[109],"roughness":[110],"introduced":[111],"outliers.":[113],"This":[114],"paper":[115],"introduces":[116],"framework":[121],"based":[122],"on":[123],"unsupervised":[124],"domain":[125],"adaptation":[126],"(UDA)":[127],"learning":[130],"SAR.":[134],"Additionally,":[135],"present":[137],"simple":[139],"yet":[140],"effective":[141],"geometric":[142],"transformation":[143],"augmentation":[145],"technique":[146],"handle":[148],"highly":[149],"imbalanced":[150],"distribution.":[152],"Experimental":[153],"results":[154],"confirm":[155],"feasibility":[157],"effectiveness":[159],"our":[161],"proposed":[162],"method":[163],"reconstructed":[167]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}