{"id":"https://openalex.org/W4214762607","doi":"https://doi.org/10.3390/rs14051175","title":"A Transformer-Based Coarse-to-Fine Wide-Swath SAR Image Registration Method under Weak Texture Conditions","display_name":"A Transformer-Based Coarse-to-Fine Wide-Swath SAR Image Registration Method under Weak Texture Conditions","publication_year":2022,"publication_date":"2022-02-27","ids":{"openalex":"https://openalex.org/W4214762607","doi":"https://doi.org/10.3390/rs14051175"},"language":"en","primary_location":{"id":"doi:10.3390/rs14051175","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14051175","pdf_url":"https://www.mdpi.com/2072-4292/14/5/1175/pdf?version=1646213195","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/5/1175/pdf?version=1646213195","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085004179","display_name":"Yibo Fan","orcid":"https://orcid.org/0000-0003-2523-8261"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yibo Fan","raw_affiliation_strings":["Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education), School of Information Science and Technology, Fudan University, Shanghai 200433, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education), School of Information Science and Technology, Fudan University, Shanghai 200433, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100669010","display_name":"Feng Wang","orcid":"https://orcid.org/0000-0002-2378-9126"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng Wang","raw_affiliation_strings":["Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education), School of Information Science and Technology, Fudan University, Shanghai 200433, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education), School of Information Science and Technology, Fudan University, Shanghai 200433, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100405762","display_name":"Haipeng Wang","orcid":"https://orcid.org/0000-0003-1912-7143"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haipeng Wang","raw_affiliation_strings":["Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education), School of Information Science and Technology, Fudan University, Shanghai 200433, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education), School of Information Science and Technology, Fudan University, Shanghai 200433, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100669010"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.9604,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.92334807,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"14","issue":"5","first_page":"1175","last_page":"1175"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9965999722480774,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7460882067680359},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7275744676589966},{"id":"https://openalex.org/keywords/ransac","display_name":"RANSAC","score":0.7268690466880798},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.6330846548080444},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5839109420776367},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5555779337882996},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4578375816345215},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.43664222955703735},{"id":"https://openalex.org/keywords/point-set-registration","display_name":"Point set registration","score":0.4314941167831421},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4265884459018707},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39361217617988586},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30728739500045776},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.2350398302078247},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2233436405658722}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7460882067680359},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7275744676589966},{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.7268690466880798},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.6330846548080444},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5839109420776367},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5555779337882996},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4578375816345215},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.43664222955703735},{"id":"https://openalex.org/C200336642","wikidata":"https://www.wikidata.org/wiki/Q15058706","display_name":"Point set registration","level":3,"score":0.4314941167831421},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4265884459018707},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39361217617988586},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30728739500045776},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.2350398302078247},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2233436405658722},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14051175","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14051175","pdf_url":"https://www.mdpi.com/2072-4292/14/5/1175/pdf?version=1646213195","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:832ff0bffec94a94a4393543c481735b","is_oa":true,"landing_page_url":"https://doaj.org/article/832ff0bffec94a94a4393543c481735b","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 5, p 1175 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/5/1175/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14051175","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 14; Issue 5; Pages: 1175","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14051175","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14051175","pdf_url":"https://www.mdpi.com/2072-4292/14/5/1175/pdf?version=1646213195","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3069370439","display_name":null,"funder_award_id":"20ZR1406300","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"},{"id":"https://openalex.org/G3085993365","display_name":null,"funder_award_id":"(Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5249178904","display_name":null,"funder_award_id":"Grant No. 6","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6325519619","display_name":null,"funder_award_id":"61901122","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7488020231","display_name":null,"funder_award_id":"22ZR1406700","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"},{"id":"https://openalex.org/G7660917868","display_name":null,"funder_award_id":"004-1","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8041151534","display_name":null,"funder_award_id":"30-H30C01-9004-19/21","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4214762607.pdf","grobid_xml":"https://content.openalex.org/works/W4214762607.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W99071287","https://openalex.org/W1491719799","https://openalex.org/W1532362218","https://openalex.org/W1677409904","https://openalex.org/W1686810756","https://openalex.org/W2030233108","https://openalex.org/W2085261163","https://openalex.org/W2117228865","https://openalex.org/W2140580419","https://openalex.org/W2144552105","https://openalex.org/W2145072179","https://openalex.org/W2151103935","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2410591237","https://openalex.org/W2554820184","https://openalex.org/W2565639579","https://openalex.org/W2612112834","https://openalex.org/W2618039218","https://openalex.org/W2754361766","https://openalex.org/W2754925132","https://openalex.org/W2781778455","https://openalex.org/W2790893584","https://openalex.org/W2791873954","https://openalex.org/W2913429812","https://openalex.org/W2916798096","https://openalex.org/W2919115771","https://openalex.org/W2928579688","https://openalex.org/W2946535694","https://openalex.org/W2946948417","https://openalex.org/W2963760790","https://openalex.org/W2973665503","https://openalex.org/W2980661908","https://openalex.org/W2996158895","https://openalex.org/W2999000103","https://openalex.org/W3012162230","https://openalex.org/W3101684954","https://openalex.org/W3165710677","https://openalex.org/W3166285241","https://openalex.org/W3167169752","https://openalex.org/W3175531063","https://openalex.org/W3186994328","https://openalex.org/W3201351856","https://openalex.org/W3217153199","https://openalex.org/W4200604770","https://openalex.org/W4205397352","https://openalex.org/W4205568244","https://openalex.org/W4206335875","https://openalex.org/W6668990524","https://openalex.org/W6679388247","https://openalex.org/W6739901393","https://openalex.org/W6783944145","https://openalex.org/W6785720554","https://openalex.org/W6797264716"],"related_works":["https://openalex.org/W2609306373","https://openalex.org/W2076397591","https://openalex.org/W2047243114","https://openalex.org/W2037143534","https://openalex.org/W2888631859","https://openalex.org/W2738663454","https://openalex.org/W2357811830","https://openalex.org/W2042440885","https://openalex.org/W3154360165","https://openalex.org/W2067230404"],"abstract_inverted_index":{"As":[0],"an":[1],"all-weather":[2],"and":[3,19,41,78,87,91,123,176,199],"all-day":[4],"remote":[5],"sensing":[6],"image":[7,62,72,208],"data":[8],"source,":[9],"SAR":[10,61,207],"(Synthetic":[11],"Aperture":[12],"Radar)":[13],"images":[14,125,140],"have":[15],"been":[16],"widely":[17],"applied,":[18],"their":[20],"registration":[21,34],"accuracy":[22],"has":[23],"a":[24,44,57,118,129,203],"direct":[25],"impact":[26],"on":[27,38,134],"the":[28,79,83,92,105,114,146,160,177],"downstream":[29],"task":[30],"effectiveness.":[31],"The":[32,65,189],"existing":[33],"algorithms":[35],"mainly":[36,67],"focus":[37],"small":[39],"sub-images,":[40],"there":[42],"is":[43,136,183,197],"lack":[45],"of":[46,120],"available":[47],"accurate":[48],"matching":[49,103,166],"methods":[50],"for":[51,206],"large-size":[52,60],"images.":[53],"This":[54],"paper":[55],"proposes":[56],"high-precision,":[58],"rapid,":[59],"dense-matching":[63],"method.":[64],"method":[66,97,132,196],"includes":[68],"four":[69],"steps:":[70],"down-sampling":[71],"pre-registration,":[73],"sub-image":[74],"acquisition,":[75],"dense":[76],"matching,":[77],"transformation":[80,148],"solution.":[81],"First,":[82],"ORB":[84],"(Oriented":[85],"FAST":[86],"Rotated":[88],"BRIEF)":[89],"operator":[90],"GMS":[93],"(Grid-based":[94],"Motion":[95],"Statistics)":[96],"are":[98,126,169],"combined":[99],"to":[100,113,138],"perform":[101],"rough":[102],"in":[104],"semantically":[106],"rich":[107],"down-sampled":[108],"image.":[109],"In":[110],"addition,":[111],"according":[112],"feature":[115],"point":[116,167],"pairs,":[117],"group":[119],"clustering":[121],"centers":[122],"corresponding":[124],"obtained.":[127],"Subsequently,":[128],"deep":[130],"learning":[131],"based":[133],"Transformers":[135],"used":[137],"register":[139],"under":[141],"weak":[142],"texture":[143],"conditions.":[144],"Finally,":[145],"global":[147],"relationship":[149],"can":[150],"be":[151],"obtained":[152],"through":[153],"RANSAC":[154],"(Random":[155],"Sample":[156],"Consensus).":[157],"Compared":[158],"with":[159],"SOTA":[161],"algorithm,":[162],"our":[163,194],"method\u2019s":[164],"correct":[165],"numbers":[168],"increased":[170],"by":[171,185],"more":[172,186],"than":[173,187],"2.47":[174],"times,":[175],"root":[178],"mean":[179],"squared":[180],"error":[181],"(RMSE)":[182],"reduced":[184],"4.16%.":[188],"experimental":[190],"results":[191],"demonstrate":[192],"that":[193],"proposed":[195],"efficient":[198],"accurate,":[200],"which":[201],"provides":[202],"new":[204],"idea":[205],"registration.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":3}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2022-03-02T00:00:00"}
