{"id":"https://openalex.org/W4402742991","doi":"https://doi.org/10.1109/jstars.2024.3465835","title":"An Unsupervised and End-to-End Registration Method Using Offset Field and Pseudodata for Video SAR Images","display_name":"An Unsupervised and End-to-End Registration Method Using Offset Field and Pseudodata for Video SAR Images","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402742991","doi":"https://doi.org/10.1109/jstars.2024.3465835"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2024.3465835","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/jstars.2024.3465835","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dx.doi.org/10.1109/jstars.2024.3465835","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064084523","display_name":"Hui Fang","orcid":"https://orcid.org/0000-0002-1902-8156"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Fang","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-1902-8156","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Guisheng Liao","orcid":"https://orcid.org/0000-0002-5919-0713"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guisheng Liao","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-5919-0713","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100712537","display_name":"Yongjun Liu","orcid":"https://orcid.org/0000-0003-1628-8865"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjun Liu","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-1628-8865","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076531189","display_name":"Cao Zeng","orcid":"https://orcid.org/0000-0001-5842-3629"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cao Zeng","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-5842-3629","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065231043","display_name":"Xiongpeng He","orcid":"https://orcid.org/0000-0001-8873-8998"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiongpeng He","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-8873-8998","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100531574","display_name":"Qingping Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I194716290","display_name":"China Academy of Space Technology","ror":"https://ror.org/025397a59","country_code":"CN","type":"government","lineage":["https://openalex.org/I194716290","https://openalex.org/I2802615301"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingping Meng","raw_affiliation_strings":["Institute of Remote Sensing Satellite, China Academy of Space Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing Satellite, China Academy of Space Technology, Beijing, China","institution_ids":["https://openalex.org/I194716290"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2210133,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":null,"first_page":"18517","last_page":"18534"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9477999806404114,"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":0.9477999806404114,"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":0.9314000010490417,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7201061248779297},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.6287620663642883},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6162728071212769},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6120589971542358},{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.5545691847801208},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.4392772614955902},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.433024525642395},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1588667631149292}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7201061248779297},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.6287620663642883},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6162728071212769},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6120589971542358},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.5545691847801208},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.4392772614955902},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.433024525642395},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1588667631149292},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2024.3465835","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/jstars.2024.3465835","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:00007bba96dd49d48ca4fcfde991f6dd","is_oa":true,"landing_page_url":"https://doaj.org/article/00007bba96dd49d48ca4fcfde991f6dd","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 18517-18534 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2024.3465835","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/jstars.2024.3465835","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4179979065","display_name":null,"funder_award_id":"XJS220207","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5057869368","display_name":null,"funder_award_id":"62001352","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8095585685","display_name":null,"funder_award_id":"62201408","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8854801301","display_name":"\u9891\u7387\u5206\u96c6\u9635\u57fa\u7840\u7406\u8bba\u3001\u5173\u952e\u6280\u672f\u4e0e\u96f7\u8fbe\u5e94\u7528\u7814\u7a76","funder_award_id":"61931016","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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W151604921","https://openalex.org/W1901129140","https://openalex.org/W1958488613","https://openalex.org/W1972731536","https://openalex.org/W2030233108","https://openalex.org/W2034432063","https://openalex.org/W2046888627","https://openalex.org/W2052568683","https://openalex.org/W2110375187","https://openalex.org/W2127176025","https://openalex.org/W2129601604","https://openalex.org/W2133665775","https://openalex.org/W2142572935","https://openalex.org/W2151103935","https://openalex.org/W2163771205","https://openalex.org/W2241003329","https://openalex.org/W2290958930","https://openalex.org/W2312710269","https://openalex.org/W2538244214","https://openalex.org/W2547014092","https://openalex.org/W2559871160","https://openalex.org/W2752782242","https://openalex.org/W2901390138","https://openalex.org/W2904122576","https://openalex.org/W2931406161","https://openalex.org/W2944492382","https://openalex.org/W3036035228","https://openalex.org/W3036897649","https://openalex.org/W3038113894","https://openalex.org/W3081389570","https://openalex.org/W3094034339","https://openalex.org/W3095921559","https://openalex.org/W3115490882","https://openalex.org/W3118957360","https://openalex.org/W3128280193","https://openalex.org/W3134852047","https://openalex.org/W3166285241","https://openalex.org/W4210365632","https://openalex.org/W4221141078","https://openalex.org/W4226336958","https://openalex.org/W4312223655","https://openalex.org/W4313123084","https://openalex.org/W4360995417","https://openalex.org/W4365131396","https://openalex.org/W4390872507","https://openalex.org/W4391807654","https://openalex.org/W6618372016","https://openalex.org/W6717870063","https://openalex.org/W6718003766","https://openalex.org/W6774670964","https://openalex.org/W6791742336"],"related_works":["https://openalex.org/W3179968364","https://openalex.org/W1999612375","https://openalex.org/W2938107654","https://openalex.org/W2151749779","https://openalex.org/W3008587939","https://openalex.org/W3196421258","https://openalex.org/W4387301579","https://openalex.org/W2763956190","https://openalex.org/W4400488565","https://openalex.org/W4388104121"],"abstract_inverted_index":{"Video":[0],"synthetic":[1],"aperture":[2],"radar":[3],"(video":[4],"SAR)":[5],"has":[6,21],"been":[7,22],"successfully":[8],"applied":[9],"in":[10,29,54,224],"many":[11],"fields":[12],"and":[13,47,150,168],"the":[14,17,43,48,128,136,139,147,158,175,186,189,200,214,221,225,239,242],"registration":[15,56,62,77,81,111,121,129,201,244],"of":[16,42,90,227,230,241],"video":[18,33,65,97,114,132],"SAR":[19,34,66,98,115,133],"images":[20,35],"proven":[23],"to":[24,59,75,101,126,144,156,173,179,184,197,219],"be":[25,84],"a":[26,87,153,165,169],"crucial":[27],"step":[28],"their":[30],"preprocessing.":[31],"However,":[32],"exhibit":[36],"more":[37],"severe":[38],"image":[39],"differences":[40],"because":[41],"unique":[44],"imaging":[45,50],"mechanism":[46],"immature":[49],"methods.":[51],"This":[52],"results":[53,234],"existing":[55],"methods":[57,82,196],"failing":[58],"achieve":[60],"satisfactory":[61],"outcomes":[63],"for":[64,96,113,131],"images.":[67,99,116,134],"The":[68],"convolutional":[69],"neural":[70],"network":[71],"(CNN)":[72],"can":[73,212],"contribute":[74],"improving":[76],"performance.":[78],"Nevertheless,":[79],"CNN-based":[80],"must":[83],"driven":[85],"by":[86],"large":[88,228],"amount":[89],"labeled":[91,231],"data,":[92],"which":[93],"is":[94,124,142],"impractical":[95],"Therefore,":[100],"tackle":[102],"these":[103],"problems,":[104],"we":[105,151,193,204],"propose":[106,205],"an":[107,118,206],"unsupervised":[108,207],"end-to-end":[109,119],"deep":[110,120,208],"method":[112],"First,":[117],"model":[122],"(DRM)":[123],"proposed":[125,137,222,243],"improve":[127],"performance":[130],"In":[135],"DRM,":[138],"offset":[140,159],"field":[141,160],"utilized":[143],"indirectly":[145],"calculate":[146],"registered":[148],"parameters":[149],"construct":[152],"CNN,":[154],"MUnet,":[155],"regress":[157],"accurately.":[161],"We":[162],"also":[163],"develop":[164],"differentiable":[166,170],"H-transform":[167],"spatial":[171],"transformation":[172],"implement":[174],"mapping":[176],"from":[177],"end":[178,180],"while":[181],"allowing":[182],"DRM":[183,223],"backpropagate":[185],"losses":[187],"during":[188],"training":[190,209],"phase.":[191],"Meanwhile,":[192],"borrow":[194],"intensity-based":[195],"further":[198],"optimize":[199],"results.":[202],"Furthermore,":[203],"strategy":[210],"that":[211],"use":[213],"generated":[215],"pseudodata":[216],"with":[217],"pseudolabel":[218],"train":[220],"absence":[226],"amounts":[229],"data.":[232],"Experiment":[233],"on":[235],"multiple":[236],"data":[237],"demonstrate":[238],"effectiveness":[240],"method.":[245]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}