{"id":"https://openalex.org/W4388469920","doi":"https://doi.org/10.1109/tgrs.2023.3330856","title":"SAR\u2013Optical Image Matching With Semantic Position Probability Distribution","display_name":"SAR\u2013Optical Image Matching With Semantic Position Probability Distribution","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4388469920","doi":"https://doi.org/10.1109/tgrs.2023.3330856"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3330856","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3330856","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/A5042948216","display_name":"Liangzhi Li","orcid":"https://orcid.org/0000-0002-3571-3487"},"institutions":[{"id":"https://openalex.org/I4210115513","display_name":"Xi\u2019an University","ror":"https://ror.org/01zzmf129","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210115513"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liangzhi Li","raw_affiliation_strings":["College of Geological Engineering and Geomatics, Chang’an University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"College of Geological Engineering and Geomatics, Chang’an University, Xi’an, China","institution_ids":["https://openalex.org/I4210115513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111993997","display_name":"Ling Han","orcid":null},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Han","raw_affiliation_strings":["School of Land Engineering, Chang’an University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Land Engineering, Chang’an University, Xi’an, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100347731","display_name":"Ming Liu","orcid":"https://orcid.org/0000-0001-5138-9640"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Liu","raw_affiliation_strings":["School of Land Engineering, Chang’an University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Land Engineering, Chang’an University, Xi’an, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080492904","display_name":"Kyle Gao","orcid":"https://orcid.org/0000-0002-8320-6308"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kyle Gao","raw_affiliation_strings":["Department of Systems Design Engineering, University of Waterloo, Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Systems Design Engineering, University of Waterloo, Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049403375","display_name":"Hongjie He","orcid":"https://orcid.org/0000-0003-3839-5821"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hongjie He","raw_affiliation_strings":["Department of Geography and Environmental Management, University of Waterloo, Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Geography and Environmental Management, University of Waterloo, Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059329180","display_name":"Lanying Wang","orcid":"https://orcid.org/0009-0007-4875-7132"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Lanying Wang","raw_affiliation_strings":["Department of Geography and Environmental Management, University of Waterloo, Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Geography and Environmental Management, University of Waterloo, Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100613889","display_name":"Jonathan Li","orcid":"https://orcid.org/0000-0001-7899-0049"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jonathan Li","raw_affiliation_strings":["Department of Geography and Environmental Management, University of Waterloo, Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Geography and Environmental Management, University of Waterloo, Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5042948216"],"corresponding_institution_ids":["https://openalex.org/I4210115513"],"apc_list":null,"apc_paid":null,"fwci":0.9878,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.78471348,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"15"},"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":0.9995999932289124,"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":0.9995999932289124,"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":0.9991000294685364,"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":0.9886000156402588,"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":0.7359152436256409},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7262179851531982},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6404667496681213},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6203563809394836},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.605853259563446},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5683519244194031},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5653214454650879},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5460876822471619},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.48657119274139404},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2276371419429779},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09954884648323059}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7359152436256409},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7262179851531982},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6404667496681213},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6203563809394836},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.605853259563446},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5683519244194031},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5653214454650879},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5460876822471619},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.48657119274139404},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2276371419429779},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09954884648323059},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3330856","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3330856","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/G3549098021","display_name":null,"funder_award_id":"42171348","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4851519804","display_name":null,"funder_award_id":"2022JQ-247","funder_id":"https://openalex.org/F4320336567","funder_display_name":"Natural Science Basic Research Program of Shaanxi Province"},{"id":"https://openalex.org/G7188330006","display_name":null,"funder_award_id":"211435220242","funder_id":"https://openalex.org/F4320327224","funder_display_name":"Shaanxi Provincial Science and Technology Department"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327224","display_name":"Shaanxi Provincial Science and Technology Department","ror":null},{"id":"https://openalex.org/F4320336567","display_name":"Natural Science Basic Research Program of Shaanxi Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1533415406","https://openalex.org/W1913744585","https://openalex.org/W2034432063","https://openalex.org/W2114147217","https://openalex.org/W2123655559","https://openalex.org/W2144123711","https://openalex.org/W2151103935","https://openalex.org/W2167090712","https://openalex.org/W2194775991","https://openalex.org/W2313528501","https://openalex.org/W2320444803","https://openalex.org/W2560023338","https://openalex.org/W2560741668","https://openalex.org/W2565639579","https://openalex.org/W2589547048","https://openalex.org/W2608922915","https://openalex.org/W2624172411","https://openalex.org/W2630837129","https://openalex.org/W2760923572","https://openalex.org/W2774688698","https://openalex.org/W2787091153","https://openalex.org/W2809252577","https://openalex.org/W2866634454","https://openalex.org/W2884822772","https://openalex.org/W2887116847","https://openalex.org/W2921526792","https://openalex.org/W2924464923","https://openalex.org/W2955058313","https://openalex.org/W2963091558","https://openalex.org/W2963727650","https://openalex.org/W2964157791","https://openalex.org/W2987537249","https://openalex.org/W2996444841","https://openalex.org/W3016947168","https://openalex.org/W3034275286","https://openalex.org/W3043075211","https://openalex.org/W3088257029","https://openalex.org/W3112503277","https://openalex.org/W3134976640","https://openalex.org/W3164069575","https://openalex.org/W3169865585","https://openalex.org/W3170841864","https://openalex.org/W3188333065","https://openalex.org/W3196904463","https://openalex.org/W3203369691","https://openalex.org/W3208624098","https://openalex.org/W4214520160","https://openalex.org/W4214893857","https://openalex.org/W4221141078","https://openalex.org/W4226336958","https://openalex.org/W4288358289","https://openalex.org/W4312683235","https://openalex.org/W4362654402","https://openalex.org/W4365131396","https://openalex.org/W4385245566","https://openalex.org/W6631937214","https://openalex.org/W6739696289","https://openalex.org/W6760613829","https://openalex.org/W6760897771","https://openalex.org/W6762207098","https://openalex.org/W6797399245"],"related_works":["https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W4249847449","https://openalex.org/W1647606319","https://openalex.org/W44395729","https://openalex.org/W4390494008","https://openalex.org/W4206776094","https://openalex.org/W3121197456","https://openalex.org/W2358868262"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,24,90,118],"deep":[3],"learning":[4],"framework":[5],"of":[6,113,140,200],"Semantic":[7],"Position":[8,75],"Probability":[9],"Distribution":[10],"for":[11,42,93,162,181],"SAR-optical":[12,182],"image":[13,74,142,175],"matching,":[14],"termed":[15],"as":[16,132],"SPPD.":[17],"Unlike":[18],"the":[19,46,72,80,99,110,125,133,158,169,189],"pixel-by-pixel":[20],"searching":[21],"matching":[22,32,96,115,120,152,180,191],"method,":[23],"correspondence":[25],"is":[26,172],"directly":[27],"obtained":[28],"by":[29,51],"an":[30],"outputted":[31],"position":[33,82,95],"probability":[34,111],"distribution.":[35],"First,":[36],"multiscale":[37],"pyramidal":[38],"features":[39,63],"are":[40,68,130,154],"created":[41],"each":[43],"pixel":[44,106],"in":[45],"SAR":[47,126],"and":[48,105,127,135,147,177],"optical":[49,128],"images":[50,129,183],"using":[52],"two":[53,85],"weight-sharing":[54],"ResNet-50":[55],"+":[56],"Feature":[57],"Pyramid":[58],"Network":[59],"(FPN)":[60],"networks.":[61],"The":[62,138,164],"containing":[64],"high-level":[65],"semantic":[66,94,103,114],"information":[67,104],"then":[69],"embedded":[70],"into":[71,117],"proposed":[73,170],"Attention":[76],"Module":[77],"to":[78,97,156,174],"obtain":[79,157],"spatial":[81],"dependencies":[83],"between":[84],"images.":[86,137],"Then,":[87],"we":[88],"present":[89],"loss":[91,148],"function":[92,149],"optimize":[98],"network":[100],"from":[101],"both":[102],"alignment":[107],"perspectives,":[108],"converting":[109],"distribution":[112],"positions":[116],"point-to-point":[119],"problem.":[121],"In":[122],"this":[123],"paper,":[124],"set":[131],"sensed":[134],"reference":[136],"effects":[139],"different":[141,194],"sizes,":[143],"training":[144],"label":[145],"types,":[146],"weights":[150],"on":[151,193],"accuracy":[153,186],"explored":[155],"optimal":[159],"parameter":[160],"settings":[161],"matching.":[163],"experimental":[165],"results":[166],"show":[167],"that":[168],"method":[171,192],"insensitive":[173],"deformation":[176],"achieves":[178],"cross-modal":[179],"with":[184,188,197],"high":[185],"compared":[187],"best":[190],"scene":[195],"images,":[196],"several":[198],"orders":[199],"magnitude":[201],"faster":[202],"inferences":[203],"time.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}