{"id":"https://openalex.org/W4415399095","doi":"https://doi.org/10.1109/tgrs.2025.3624060","title":"DGIM: Cascaded Dynamic Data Generation for Robust Cross-Modal Image Matching","display_name":"DGIM: Cascaded Dynamic Data Generation for Robust Cross-Modal Image Matching","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415399095","doi":"https://doi.org/10.1109/tgrs.2025.3624060"},"language":null,"primary_location":{"id":"doi:10.1109/tgrs.2025.3624060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3624060","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5063918316","display_name":"Daping Weng","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I4210088225","display_name":"China National Space Administration","ror":"https://ror.org/004vanv95","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210088225"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Desheng Weng","raw_affiliation_strings":["School of Information and Electronics and the National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing, Beijing Institute of Technology, Beijing, China","School of Information and Electronics, Beijing Institute of Technology, and the National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0005-0510-6466","affiliations":[{"raw_affiliation_string":"School of Information and Electronics and the National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, and the National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing, Beijing, China","institution_ids":["https://openalex.org/I4210088225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100317994","display_name":"Wei Li","orcid":"https://orcid.org/0000-0001-7015-7335"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I4210088225","display_name":"China National Space Administration","ror":"https://ror.org/004vanv95","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210088225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["School of Information and Electronics and the National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing, Beijing Institute of Technology, Beijing, China","School of Information and Electronics, Beijing Institute of Technology, and the National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7015-7335","affiliations":[{"raw_affiliation_string":"School of Information and Electronics and the National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, and the National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing, Beijing, China","institution_ids":["https://openalex.org/I4210088225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059150237","display_name":"Chenzhong Gao","orcid":"https://orcid.org/0000-0003-4674-0613"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I4210088225","display_name":"China National Space Administration","ror":"https://ror.org/004vanv95","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210088225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenzhong Gao","raw_affiliation_strings":["School of Information and Electronics and the National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing, Beijing Institute of Technology, Beijing, China","School of Information and Electronics, Beijing Institute of Technology, and the National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4674-0613","affiliations":[{"raw_affiliation_string":"School of Information and Electronics and the National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, and the National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing, Beijing, China","institution_ids":["https://openalex.org/I4210088225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065367615","display_name":"Xiang\u2010Gen Xia","orcid":"https://orcid.org/0000-0002-5599-7683"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiang-Gen Xia","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, USA"],"raw_orcid":"https://orcid.org/0000-0002-5599-7683","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089000443","display_name":"Zhicheng Shi","orcid":"https://orcid.org/0000-0002-5001-1862"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhicheng Shi","raw_affiliation_strings":["Beijing Institute of Space Mechanics and Electricity, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Space Mechanics and Electricity, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057553732","display_name":"Bolun Cui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bolun Cui","raw_affiliation_strings":["Beijing Institute of Space Mechanics and Electricity, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Space Mechanics and Electricity, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5063918316"],"corresponding_institution_ids":["https://openalex.org/I125839683","https://openalex.org/I4210088225"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27927181,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"16"},"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":0.9951000213623047,"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":0.9951000213623047,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9757999777793884,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9733999967575073,"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/robustness","display_name":"Robustness (evolution)","score":0.6310999989509583},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5641000270843506},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.539900004863739},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4846000075340271},{"id":"https://openalex.org/keywords/transformation-geometry","display_name":"Transformation geometry","score":0.3952000141143799},{"id":"https://openalex.org/keywords/optimal-matching","display_name":"Optimal matching","score":0.3718999922275543},{"id":"https://openalex.org/keywords/image-matching","display_name":"Image matching","score":0.36090001463890076},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.3463999927043915},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3458999991416931}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8083999752998352},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6310999989509583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5945000052452087},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5641000270843506},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.539900004863739},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4846000075340271},{"id":"https://openalex.org/C32990609","wikidata":"https://www.wikidata.org/wiki/Q306542","display_name":"Transformation geometry","level":2,"score":0.3952000141143799},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38749998807907104},{"id":"https://openalex.org/C123853557","wikidata":"https://www.wikidata.org/wiki/Q7098946","display_name":"Optimal matching","level":3,"score":0.3718999922275543},{"id":"https://openalex.org/C2986492983","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image matching","level":3,"score":0.36090001463890076},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.3463999927043915},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3458999991416931},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34360000491142273},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.33570000529289246},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3156000077724457},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.30889999866485596},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.29649999737739563},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.28929999470710754},{"id":"https://openalex.org/C2777466982","wikidata":"https://www.wikidata.org/wiki/Q5227287","display_name":"Data extraction","level":3,"score":0.28119999170303345},{"id":"https://openalex.org/C61455927","wikidata":"https://www.wikidata.org/wiki/Q1030529","display_name":"Blossom algorithm","level":3,"score":0.2809000015258789},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.27880001068115234},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.272599995136261},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.27070000767707825},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.27000001072883606},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.2676999866962433},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2614000141620636},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2587999999523163},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2522999942302704},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.2506999969482422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3624060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3624060","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8604554238","display_name":null,"funder_award_id":"2024YCXY032","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":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1568793698","https://openalex.org/W1861492603","https://openalex.org/W2085261163","https://openalex.org/W2151103935","https://openalex.org/W2471962767","https://openalex.org/W2565639579","https://openalex.org/W2589547048","https://openalex.org/W2603777577","https://openalex.org/W2887116847","https://openalex.org/W2950689937","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2963351448","https://openalex.org/W2992077842","https://openalex.org/W2996444841","https://openalex.org/W3015287366","https://openalex.org/W3034275286","https://openalex.org/W3043075211","https://openalex.org/W3106462076","https://openalex.org/W3106808132","https://openalex.org/W3134976640","https://openalex.org/W3166285241","https://openalex.org/W3167976421","https://openalex.org/W3175334853","https://openalex.org/W3175377832","https://openalex.org/W3178187403","https://openalex.org/W3192835542","https://openalex.org/W4206713196","https://openalex.org/W4213207493","https://openalex.org/W4220840497","https://openalex.org/W4221141078","https://openalex.org/W4221154336","https://openalex.org/W4280624317","https://openalex.org/W4312548398","https://openalex.org/W4366607358","https://openalex.org/W4385245566","https://openalex.org/W4386075582","https://openalex.org/W4386633936","https://openalex.org/W4388979610","https://openalex.org/W4390872507","https://openalex.org/W4392342608","https://openalex.org/W4402727359","https://openalex.org/W4402771002","https://openalex.org/W4402772491","https://openalex.org/W4402917026","https://openalex.org/W4403510307","https://openalex.org/W4413155710"],"related_works":[],"abstract_inverted_index":{"To":[0],"address":[1],"the":[2,22,43,66,81,115,120,157],"challenges":[3],"posed":[4],"by":[5],"extensive":[6],"modality":[7],"differences":[8],"in":[9,164],"image":[10,62,71,152,198],"matching":[11,27,82,89,131,153,166,199],"tasks,":[12],"this":[13],"paper":[14],"proposes":[15],"a":[16,30,54,60,92,96,129,170],"cascaded":[17],"learning":[18],"framework.":[19],"It":[20,177],"guides":[21],"optimization":[23],"of":[24,69,122,141],"an":[25],"end-to-end":[26],"model":[28,83,90],"via":[29],"dynamic":[31],"data":[32,40,51],"engine,":[33],"which":[34,103],"can":[35],"provide":[36],"sufficient":[37],"cross-modal":[38,48,70,86,151,165,197],"training":[39],"to":[41,47,135],"support":[42],"model\u2019s":[44],"full":[45],"adaptation":[46],"features.":[49],"The":[50,88,201],"engine":[52],"integrates":[53,104],"random":[55],"homography":[56],"transformation":[57],"module":[58],"and":[59,76,99,139,149,175,186,193,203],"lightweight":[61],"generation":[63],"model,":[64],"enabling":[65],"online":[67],"synthesis":[68],"pairs":[72],"with":[73,84,109],"geometric":[74],"variations":[75],"diverse":[77],"styles.":[78],"This":[79,188],"provides":[80,190],"rich":[85],"stimulation.":[87],"adopts":[91],"hybrid":[93],"architecture":[94],"combining":[95],"CNN":[97],"backbone":[98],"Transformer":[100],"attention":[101],"mechanisms,":[102],"multi-scale":[105],"local":[106],"feature":[107,123,142],"extraction":[108,124],"global":[110],"context":[111],"modeling.":[112],"By":[113],"adopting":[114],"proposed":[116,158],"stepwise":[117],"aggregation":[118],"strategy,":[119],"efficiency":[121,174],"is":[125,133],"well":[126],"ensured.":[127],"Subsequently,":[128],"coarse-to-fine":[130],"strategy":[132],"employed":[134],"achieve":[136],"high":[137],"accuracy":[138],"robustness":[140],"alignment.":[143],"Comprehensive":[144],"experiments":[145],"on":[146],"both":[147],"self-collected":[148],"public":[150],"datasets":[154],"demonstrate":[155],"that":[156],"DGIM":[159],"outperforms":[160],"existing":[161],"state-of-the-art":[162],"approaches":[163],"performance":[167],"while":[168],"achieving":[169],"good":[171],"balance":[172],"between":[173],"effectiveness.":[176],"also":[178],"exhibits":[179],"broad":[180],"practical":[181],"potential":[182],"across":[183],"multiple":[184],"fields":[185],"scenes.":[187],"work":[189],"novel":[191],"solutions":[192],"evaluation":[194],"benchmarks":[195],"for":[196],"tasks.":[200],"code":[202],"testing":[204],"dataset":[205],"will":[206],"be":[207],"made":[208],"publicly":[209],"available":[210],"at":[211],"https://github.com/LotrL/DGIM.":[212]},"counts_by_year":[],"updated_date":"2025-11-12T23:11:45.498971","created_date":"2025-10-22T00:00:00"}