{"id":"https://openalex.org/W4402263153","doi":"https://doi.org/10.1109/igarss53475.2024.10641296","title":"MV-MOE: A Visual Mixture-of-Experts Model for Optical-SAR Image Matching","display_name":"MV-MOE: A Visual Mixture-of-Experts Model for Optical-SAR Image Matching","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402263153","doi":"https://doi.org/10.1109/igarss53475.2024.10641296"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10641296","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10641296","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":"conference-paper","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/A5035953000","display_name":"Jingyi Cao","orcid":"https://orcid.org/0000-0002-5754-9016"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyi Cao","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102070140","display_name":"Yanan You","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanan You","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115602422","display_name":"Jun Liu","orcid":"https://orcid.org/0000-0001-6766-5611"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Liu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"9676","last_page":"9679"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9975000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6493523716926575},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5557107329368591},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5525404214859009},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5497831702232361},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45867854356765747},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10767164826393127}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6493523716926575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5557107329368591},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5525404214859009},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5497831702232361},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45867854356765747},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10767164826393127},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10641296","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10641296","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":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2230478823","https://openalex.org/W2618039218","https://openalex.org/W2809290718","https://openalex.org/W2973665503","https://openalex.org/W3139316975","https://openalex.org/W4386266152","https://openalex.org/W4390738796","https://openalex.org/W4402726980","https://openalex.org/W6738345448","https://openalex.org/W6857431331"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"Optical":[0],"and":[1,9,32,43,69,160],"Synthetic":[2],"Aperture":[3],"Radar":[4],"(SAR)":[5],"matching":[6,159],"produces":[7],"spatial":[8,118],"semantic":[10],"correspondences":[11],"of":[12,87,101,143,152],"the":[13,21,27,36,47,63,94,99,102,105,131,140,144,150,153,164],"input":[14],"images,":[15],"playing":[16],"a":[17,54,71,124],"pivotal":[18],"role":[19],"in":[20,29,46],"registration":[22],"process.":[23],"However,":[24],"due":[25],"to":[26,163],"difference":[28],"radiation":[30],"characteristics":[31],"geometric":[33],"properties,":[34],"even":[35],"same":[37],"target":[38],"may":[39],"manifest":[40],"distinctive":[41],"morphological":[42],"feature":[44,51,126,137],"expressions":[45],"cross-modal":[48],"images.":[49],"Consistent":[50],"extraction":[52,127],"remains":[53],"challenge":[55],"for":[56,75],"optical-SAR":[57,76],"image":[58,65,77,158],"matching.":[59],"Therefore,":[60],"based":[61,129],"on":[62,130,156],"salient":[64],"patterns":[66],"(keypoint,":[67],"line,":[68],"block),":[70],"Visual":[72],"Mixture-of-Experts":[73],"method":[74,155],"Matching":[78],"(MV-MOE)":[79],"is":[80],"proposed.":[81],"It":[82],"facilitates":[83],"adaptive":[84],"graphical":[85],"representation":[86],"multi-modal":[88,157],"images":[89],"across":[90],"various":[91],"scenes":[92],"through":[93],"multi-task":[95],"learning":[96],"framework.":[97],"With":[98],"aid":[100],"attention":[103],"mechanism,":[104],"task-related":[106],"basic":[107],"features":[108],"are":[109],"reconstructed":[110],"into":[111],"matching-related":[112],"features,":[113],"yielding":[114],"similarity":[115],"along":[116],"with":[117,139],"offset":[119],"vectors.":[120],"Additionally,":[121],"we":[122],"employ":[123],"multi-level":[125],"backbone":[128],"visual":[132],"retentive":[133],"block,":[134],"enhancing":[135],"local":[136],"perception":[138],"preservation":[141],"capability":[142],"recurrent":[145],"network":[146],"structure.":[147],"Experiments":[148],"demonstrate":[149],"advantages":[151],"proposed":[154],"its":[161],"contribution":[162],"subsequent":[165],"registration.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
