{"id":"https://openalex.org/W4308234011","doi":"https://doi.org/10.1109/icip46576.2022.9897631","title":"A Multi-Source Image Matching Network for UAV Visual Location","display_name":"A Multi-Source Image Matching Network for UAV Visual Location","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308234011","doi":"https://doi.org/10.1109/icip46576.2022.9897631"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897631","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897631","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-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/A5100634465","display_name":"Chao Li","orcid":"https://orcid.org/0000-0001-6340-9960"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Li","raw_affiliation_strings":["Northwestern Polytechnical University,School of Computer Science and School of Artificial Intelligence, Optics and Electronics (iOPEN),Xi’an,P.R. China,710072"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Computer Science and School of Artificial Intelligence, Optics and Electronics (iOPEN),Xi’an,P.R. China,710072","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074321312","display_name":"Ganchao Liu","orcid":"https://orcid.org/0000-0002-0868-9063"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ganchao Liu","raw_affiliation_strings":["Northwestern Polytechnical University,School of Computer Science and School of Artificial Intelligence, Optics and Electronics (iOPEN),Xi’an,P.R. China,710072"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Computer Science and School of Artificial Intelligence, Optics and Electronics (iOPEN),Xi’an,P.R. China,710072","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100334733","display_name":"Yuan Yuan","orcid":"https://orcid.org/0000-0001-7964-6514"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Yuan","raw_affiliation_strings":["Northwestern Polytechnical University,School of Computer Science and School of Artificial Intelligence, Optics and Electronics (iOPEN),Xi’an,P.R. China,710072"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Computer Science and School of Artificial Intelligence, Optics and Electronics (iOPEN),Xi’an,P.R. China,710072","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100634465"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.2397,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58641095,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1651","last_page":"1655"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9990000128746033,"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":0.9976000189781189,"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/computer-science","display_name":"Computer science","score":0.7836593389511108},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7169035077095032},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7060872912406921},{"id":"https://openalex.org/keywords/orthophoto","display_name":"Orthophoto","score":0.6689404249191284},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6380541920661926},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5143665075302124},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5105639696121216},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.458703875541687},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43218204379081726},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4113740921020508},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3325343430042267},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13245996832847595},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09677833318710327},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09620901942253113}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7836593389511108},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7169035077095032},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7060872912406921},{"id":"https://openalex.org/C82789328","wikidata":"https://www.wikidata.org/wiki/Q922585","display_name":"Orthophoto","level":2,"score":0.6689404249191284},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6380541920661926},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5143665075302124},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5105639696121216},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.458703875541687},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43218204379081726},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4113740921020508},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3325343430042267},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13245996832847595},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09677833318710327},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09620901942253113},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9897631","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897631","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","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/F4320336125","display_name":"National Science Fund for Distinguished Young Scholars","ror":null},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1929856797","https://openalex.org/W1995266040","https://openalex.org/W2104853049","https://openalex.org/W2119605622","https://openalex.org/W2151103935","https://openalex.org/W2157364932","https://openalex.org/W2737260104","https://openalex.org/W2752782242","https://openalex.org/W2963446712","https://openalex.org/W2963588253","https://openalex.org/W2973665503","https://openalex.org/W2979458572","https://openalex.org/W3004392706","https://openalex.org/W3047057232","https://openalex.org/W3093125247","https://openalex.org/W3127249031","https://openalex.org/W3130868564","https://openalex.org/W3131045971","https://openalex.org/W3195009617","https://openalex.org/W3200503076","https://openalex.org/W4285260879"],"related_works":["https://openalex.org/W1532075541","https://openalex.org/W2368026034","https://openalex.org/W2367777051","https://openalex.org/W3087014565","https://openalex.org/W2000966632","https://openalex.org/W2820177644","https://openalex.org/W2115031585","https://openalex.org/W2111141735","https://openalex.org/W2384593548","https://openalex.org/W2539370512"],"abstract_inverted_index":{"Visual":[0],"localization":[1],"is":[2,22,51,63,91],"an":[3],"important":[4],"but":[5],"challenging":[6],"task":[7],"for":[8,26,57],"unmanned":[9],"aerial":[10],"vehicles":[11],"(UAV).":[12],"Matching":[13],"real-time":[14],"UAV":[15,30],"orthophotos":[16],"to":[17,53,70,72,93],"pre-existing":[18],"georeferenced":[19],"satellite":[20,32],"images":[21,33,100],"the":[23,66,76,95,103,119,125,129],"key":[24],"problem":[25],"this":[27,43],"task.":[28],"However,":[29],"and":[31,40,75,101],"are":[34,114],"inconsistent":[35],"in":[36],"image":[37],"styles,":[38],"perspectives,":[39],"times.":[41],"In":[42],"paper,":[44],"a":[45,83,87],"new":[46],"fully":[47],"convolutional":[48],"siamese":[49],"network":[50,69],"proposed":[52,120],"extract":[54],"similar":[55],"features":[56,74],"multi-source":[58,99],"images.":[59],"The":[60],"Squeeze-and-Excitation":[61],"structure":[62],"integrated":[64],"into":[65],"densely":[67],"connected":[68],"adapt":[71],"multi-scale":[73],"texture":[77],"differences":[78],"of":[79,97,128],"different":[80],"regions.":[81],"Besides,":[82],"loss":[84],"function":[85],"with":[86,111],"progressive":[88],"sampling":[89],"strategy":[90],"utilized":[92],"mine":[94],"similarity":[96],"matching":[98,126],"improve":[102,124],"description":[104],"compactness":[105],"among":[106],"dimensions.":[107],"Extensive":[108],"experimental":[109],"results":[110],"in-depth":[112],"analysis":[113],"provided,":[115],"which":[116],"indicate":[117],"that":[118],"framework":[121],"can":[122],"significantly":[123],"performance":[127],"learned":[130],"descriptor.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}