{"id":"https://openalex.org/W4382067341","doi":"https://doi.org/10.3390/rs15133243","title":"A Coarse-to-Fine Feature Match Network Using Transformers for Remote Sensing Image Registration","display_name":"A Coarse-to-Fine Feature Match Network Using Transformers for Remote Sensing Image Registration","publication_year":2023,"publication_date":"2023-06-23","ids":{"openalex":"https://openalex.org/W4382067341","doi":"https://doi.org/10.3390/rs15133243"},"language":"en","primary_location":{"id":"doi:10.3390/rs15133243","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15133243","pdf_url":"https://www.mdpi.com/2072-4292/15/13/3243/pdf?version=1687763487","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/2072-4292/15/13/3243/pdf?version=1687763487","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078148930","display_name":"Chenbin Liang","orcid":"https://orcid.org/0000-0002-1499-7177"},"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/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"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"]},{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenbin Liang","raw_affiliation_strings":["Northwest Land and Resource Research Center, Shaanxi Normal University, Xi\u2019an 710119, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100190, China","State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China","Northwest Land and Resource Research Center, Shaanxi Normal University, Xi'an 710119, China"],"affiliations":[{"raw_affiliation_string":"Northwest Land and Resource Research Center, Shaanxi Normal University, Xi\u2019an 710119, China","institution_ids":["https://openalex.org/I88830068"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Northwest Land and Resource Research Center, Shaanxi Normal University, Xi'an 710119, China","institution_ids":["https://openalex.org/I88830068"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076092683","display_name":"Yunyun Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunyun Dong","raw_affiliation_strings":["Northwest Land and Resource Research Center, Shaanxi Normal University, Xi\u2019an 710119, China","Northwest Land and Resource Research Center, Shaanxi Normal University, Xi'an 710119, China"],"affiliations":[{"raw_affiliation_string":"Northwest Land and Resource Research Center, Shaanxi Normal University, Xi\u2019an 710119, China","institution_ids":["https://openalex.org/I88830068"]},{"raw_affiliation_string":"Northwest Land and Resource Research Center, Shaanxi Normal University, Xi'an 710119, China","institution_ids":["https://openalex.org/I88830068"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032228681","display_name":"Changjun Zhao","orcid":"https://orcid.org/0000-0002-8981-9009"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changjun Zhao","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064560838","display_name":"Zengguo Sun","orcid":"https://orcid.org/0000-0003-0114-8173"},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zengguo Sun","raw_affiliation_strings":["School of Computer Science, Shaanxi Normal University, Xi\u2019an 710119, China","School of Computer Science, Shaanxi Normal University, Xi'an 710119, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Shaanxi Normal University, Xi\u2019an 710119, China","institution_ids":["https://openalex.org/I88830068"]},{"raw_affiliation_string":"School of Computer Science, Shaanxi Normal University, Xi'an 710119, China","institution_ids":["https://openalex.org/I88830068"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5076092683"],"corresponding_institution_ids":["https://openalex.org/I88830068"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.3094,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.82470998,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"15","issue":"13","first_page":"3243","last_page":"3243"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9926000237464905,"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":0.991100013256073,"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/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.8423417806625366},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6661441922187805},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6591697335243225},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6447307467460632},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6092390418052673},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6085711121559143},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature matching","score":0.46504250168800354},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4140207767486572},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32084542512893677},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27130505442619324},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07126390933990479}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.8423417806625366},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6661441922187805},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6591697335243225},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6447307467460632},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6092390418052673},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6085711121559143},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.46504250168800354},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4140207767486572},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32084542512893677},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27130505442619324},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07126390933990479},{"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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15133243","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15133243","pdf_url":"https://www.mdpi.com/2072-4292/15/13/3243/pdf?version=1687763487","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:893553470bf04561b997b4257fec8bdf","is_oa":true,"landing_page_url":"https://doaj.org/article/893553470bf04561b997b4257fec8bdf","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 15, Iss 13, p 3243 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/13/3243/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15133243","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 15; Issue 13; Pages: 3243","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15133243","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15133243","pdf_url":"https://www.mdpi.com/2072-4292/15/13/3243/pdf?version=1687763487","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/G3000842641","display_name":null,"funder_award_id":"62001275","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":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4382067341.pdf"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1869500417","https://openalex.org/W2034432063","https://openalex.org/W2110375187","https://openalex.org/W2116710882","https://openalex.org/W2151103935","https://openalex.org/W2320444803","https://openalex.org/W2468641423","https://openalex.org/W2558625610","https://openalex.org/W2565639579","https://openalex.org/W2593936530","https://openalex.org/W2618039218","https://openalex.org/W2737260104","https://openalex.org/W2781542913","https://openalex.org/W2897093986","https://openalex.org/W2963284197","https://openalex.org/W2963748588","https://openalex.org/W2964700958","https://openalex.org/W2991115635","https://openalex.org/W2996444841","https://openalex.org/W3010777628","https://openalex.org/W3025573667","https://openalex.org/W3034275286","https://openalex.org/W3034573343","https://openalex.org/W3035477606","https://openalex.org/W3043075211","https://openalex.org/W3047057232","https://openalex.org/W3087985223","https://openalex.org/W3089211228","https://openalex.org/W3107240050","https://openalex.org/W3159453912","https://openalex.org/W3166285241","https://openalex.org/W3200870516","https://openalex.org/W4213200979","https://openalex.org/W4287666213","https://openalex.org/W4287704453","https://openalex.org/W4292183569","https://openalex.org/W4362654402","https://openalex.org/W6676770471","https://openalex.org/W6687483927","https://openalex.org/W6694954494","https://openalex.org/W6752208963","https://openalex.org/W6754984195","https://openalex.org/W6764386301","https://openalex.org/W6781533629","https://openalex.org/W6783308292"],"related_works":["https://openalex.org/W2617958085","https://openalex.org/W2049930962","https://openalex.org/W2077501173","https://openalex.org/W2163812102","https://openalex.org/W1942234010","https://openalex.org/W4206457185","https://openalex.org/W2086830044","https://openalex.org/W2089698752","https://openalex.org/W1965745851","https://openalex.org/W4308703308"],"abstract_inverted_index":{"Feature":[0],"matching":[1,46,92,97,120,160],"is":[2],"a":[3,95,265],"core":[4],"step":[5],"in":[6,209,249],"multi-source":[7],"remote":[8],"sensing":[9],"image":[10],"registration":[11],"approaches":[12],"based":[13],"on":[14,32],"feature.":[15],"However,":[16],"for":[17,123],"existing":[18],"methods,":[19,28,236],"whether":[20],"traditional":[21],"classical":[22],"SIFT":[23,165],"algorithm":[24],"or":[25,166],"deep":[26],"learning-based":[27],"they":[29],"essentially":[30],"rely":[31],"generating":[33],"descriptors":[34],"from":[35],"local":[36,58,79,104],"regions":[37,73],"of":[38,69,87,119,136,155,203,251,259,272],"feature":[39,91,111,125,138,161,175],"points,":[40],"which":[41],"can":[42,128,238],"lead":[43],"to":[44,50,108,186,218,269],"low":[45],"success":[47,195],"rates":[48],"due":[49],"various":[51],"challenges,":[52],"including":[53],"gray-scale":[54],"changes,":[55,57],"content":[56],"similarity,":[59],"and":[60,75,81,103,127,140,181,198,226],"occlusions":[61],"between":[62,106,147],"images.":[63,148],"Inspired":[64],"by":[65,159,164,178],"the":[66,82,89,114,143,153,156,170,184,192,210,220,224,241,246,257,260,270],"human":[67],"approach":[68],"finding":[70],"rough":[71],"corresponding":[72,110,121,137],"globally":[74],"then":[76,190],"carefully":[77],"comparing":[78,223],"regions,":[80],"excellent":[83],"global":[84,102],"attention":[85],"property":[86],"transformers,":[88],"proposed":[90,157,242,261],"network":[93,115,158],"adopts":[94],"coarse-to-fine":[96],"strategy":[98],"that":[99,240],"utilizes":[100],"both":[101],"information":[105],"images":[107],"predict":[109],"points.":[112],"Importantly,":[113],"has":[116],"great":[117],"flexibility":[118],"points":[122,126,139,162,176],"any":[124],"be":[129,187],"effectively":[130],"trained":[131],"without":[132],"strong":[133],"supervised":[134],"signals":[135],"only":[141],"require":[142],"true":[144],"geometric":[145],"transformation":[146],"The":[149],"qualitative":[150],"experiment":[151],"illustrate":[152],"effectiveness":[154],"extracted":[163,177],"sampled":[167],"uniformly.":[168],"In":[169],"quantitative":[171],"experiments,":[172],"we":[173,237],"used":[174],"SIFT,":[179],"SuperPoint,":[180],"LoFTR":[182],"as":[183,229,231],"keypoints":[185],"matched.":[188],"We":[189],"calculated":[191],"mean":[193,199],"match":[194],"ratio":[196],"(MSR)":[197],"reprojection":[200],"error":[201],"(MRE)":[202],"each":[204],"method":[205,243,262],"at":[206,253],"different":[207,254],"thresholds":[208],"test":[211],"dataset.":[212],"Additionally,":[213],"boxplot":[214],"graphs":[215],"were":[216],"plotted":[217],"visualize":[219],"distributions.":[221],"By":[222],"MSR":[225,252,258],"MRE":[227,271],"values":[228],"well":[230],"their":[232],"distributions":[233],"with":[234],"other":[235,273],"conclude":[239],"consistently":[244],"outperforms":[245],"comparison":[247],"methods":[248],"terms":[250],"thresholds.":[255],"Moreover,":[256],"remains":[263],"within":[264],"reasonable":[266],"range":[267],"compared":[268],"methods.":[274]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2023-06-27T00:00:00"}