{"id":"https://openalex.org/W4406858071","doi":"https://doi.org/10.1109/tgrs.2025.3535154","title":"Multimodal Remote Sensing Image Robust Matching Based on Second-Order Tensor Orientation Feature Transformation","display_name":"Multimodal Remote Sensing Image Robust Matching Based on Second-Order Tensor Orientation Feature Transformation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406858071","doi":"https://doi.org/10.1109/tgrs.2025.3535154"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3535154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3535154","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/A5108625236","display_name":"Yongjun Zhang","orcid":"https://orcid.org/0000-0001-9845-4251"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjun Zhang","raw_affiliation_strings":["School of Remote Sensing Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-9845-4251","affiliations":[{"raw_affiliation_string":"School of Remote Sensing Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003052042","display_name":"Peihao Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peihao Wu","raw_affiliation_strings":["School of Remote Sensing Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Remote Sensing Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028020752","display_name":"Yongxiang Yao","orcid":"https://orcid.org/0000-0001-5492-0564"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongxiang Yao","raw_affiliation_strings":["School of Remote Sensing Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-5492-0564","affiliations":[{"raw_affiliation_string":"School of Remote Sensing Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101985050","display_name":"Yi Wan","orcid":"https://orcid.org/0000-0001-6777-6047"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Wan","raw_affiliation_strings":["School of Remote Sensing Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-6777-6047","affiliations":[{"raw_affiliation_string":"School of Remote Sensing Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101460757","display_name":"Wenfei Zhang","orcid":"https://orcid.org/0000-0002-4115-268X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenfei Zhang","raw_affiliation_strings":["School of Remote Sensing Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Remote Sensing Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091715567","display_name":"Yansheng Li","orcid":"https://orcid.org/0000-0001-8985-3541"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yansheng Li","raw_affiliation_strings":["School of Remote Sensing Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-8985-3541","affiliations":[{"raw_affiliation_string":"School of Remote Sensing Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042216285","display_name":"Xiaohu Yan","orcid":"https://orcid.org/0000-0002-5657-5271"},"institutions":[{"id":"https://openalex.org/I182722699","display_name":"Shenzhen Polytechnic University","ror":"https://ror.org/00d2w9g53","country_code":"CN","type":"education","lineage":["https://openalex.org/I182722699"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohu Yan","raw_affiliation_strings":["School of Undergraduate Education, Shenzhen Polytechnic University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-5657-5271","affiliations":[{"raw_affiliation_string":"School of Undergraduate Education, Shenzhen Polytechnic University, Shenzhen, China","institution_ids":["https://openalex.org/I182722699"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.4796,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.97081618,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"14"},"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":0.991100013256073,"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":0.991100013256073,"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":0.982699990272522,"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":0.9563999772071838,"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/transformation","display_name":"Transformation (genetics)","score":0.6365245580673218},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6119747757911682},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5944271087646484},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5831549167633057},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5746922492980957},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5430556535720825},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5090203285217285},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48984286189079285},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.48880288004875183},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4851885437965393},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4713185429573059},{"id":"https://openalex.org/keywords/image-matching","display_name":"Image matching","score":0.4696454405784607},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4402584433555603},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature matching","score":0.4315034747123718},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.23950618505477905},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1935712695121765},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09145098924636841}],"concepts":[{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.6365245580673218},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6119747757911682},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5944271087646484},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5831549167633057},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5746922492980957},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5430556535720825},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5090203285217285},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48984286189079285},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.48880288004875183},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4851885437965393},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4713185429573059},{"id":"https://openalex.org/C2986492983","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image matching","level":3,"score":0.4696454405784607},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4402584433555603},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.4315034747123718},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.23950618505477905},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1935712695121765},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09145098924636841},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3535154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3535154","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/G116952608","display_name":null,"funder_award_id":"42030102","funder_id":"https://openalex.org/F4320335575","funder_display_name":"Key Programme"},{"id":"https://openalex.org/G2733791690","display_name":null,"funder_award_id":"2024KTSCX052","funder_id":"https://openalex.org/F4320326279","funder_display_name":"Department of Education of Guangdong Province"},{"id":"https://openalex.org/G3749044663","display_name":null,"funder_award_id":"42471470","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5035518638","display_name":null,"funder_award_id":"20220812102547001","funder_id":"https://openalex.org/F4320336569","funder_display_name":"Shenzhen Science and Technology Innovation Program"},{"id":"https://openalex.org/G7482293857","display_name":null,"funder_award_id":"6023240118K","funder_id":"https://openalex.org/F4320313851","funder_display_name":"Shenzhen Polytechnic"},{"id":"https://openalex.org/G8679275924","display_name":null,"funder_award_id":"6022312044K","funder_id":"https://openalex.org/F4320313851","funder_display_name":"Shenzhen Polytechnic"},{"id":"https://openalex.org/G8880815128","display_name":null,"funder_award_id":"6023310030K","funder_id":"https://openalex.org/F4320313851","funder_display_name":"Shenzhen Polytechnic"},{"id":"https://openalex.org/G89504717","display_name":null,"funder_award_id":"42401534","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320313851","display_name":"Shenzhen Polytechnic","ror":"https://ror.org/00d2w9g53"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326279","display_name":"Department of Education of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320335575","display_name":"Key Programme","ror":null},{"id":"https://openalex.org/F4320336569","display_name":"Shenzhen Science and Technology Innovation Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W89301254","https://openalex.org/W2047243114","https://openalex.org/W2070240696","https://openalex.org/W2075851722","https://openalex.org/W2085261163","https://openalex.org/W2111308925","https://openalex.org/W2111741784","https://openalex.org/W2115167851","https://openalex.org/W2124386111","https://openalex.org/W2126348827","https://openalex.org/W2146807548","https://openalex.org/W2177274842","https://openalex.org/W2320444803","https://openalex.org/W2551182807","https://openalex.org/W2559871160","https://openalex.org/W2569942262","https://openalex.org/W2589547048","https://openalex.org/W2590500019","https://openalex.org/W2943394081","https://openalex.org/W2979458572","https://openalex.org/W2996444841","https://openalex.org/W3000080663","https://openalex.org/W3034275286","https://openalex.org/W3134976640","https://openalex.org/W3135825876","https://openalex.org/W3162751582","https://openalex.org/W3166285241","https://openalex.org/W3173550280","https://openalex.org/W3186564838","https://openalex.org/W3193951565","https://openalex.org/W3216504652","https://openalex.org/W4200384333","https://openalex.org/W4205733193","https://openalex.org/W4214884734","https://openalex.org/W4220840497","https://openalex.org/W4221141078","https://openalex.org/W4226205548","https://openalex.org/W4226219104","https://openalex.org/W4251354162","https://openalex.org/W4281744265","https://openalex.org/W4290715643","https://openalex.org/W4292794046","https://openalex.org/W4366986698","https://openalex.org/W4386075582","https://openalex.org/W4387103388","https://openalex.org/W4390872507","https://openalex.org/W4400927300","https://openalex.org/W4402772491","https://openalex.org/W4402774445","https://openalex.org/W4403085748","https://openalex.org/W6809705236","https://openalex.org/W6849430693","https://openalex.org/W6851218028"],"related_works":["https://openalex.org/W2123144113","https://openalex.org/W4206457185","https://openalex.org/W3106568383","https://openalex.org/W4390188912","https://openalex.org/W2371395629","https://openalex.org/W2163812102","https://openalex.org/W2060133567","https://openalex.org/W2377040582","https://openalex.org/W2077501173","https://openalex.org/W4393521522"],"abstract_inverted_index":{"Nonrigid":[0],"deformation":[1],"(NRD)":[2],"and":[3,28,58,103,118,190,212,230],"image":[4,116],"noise":[5],"in":[6,16,20,114,176,183,194],"multimodal":[7,115],"remote":[8,223],"sensing":[9,224],"images":[10],"(MRSI)":[11],"lead":[12],"to":[13,22,35,50,109,137,227],"abrupt":[14],"changes":[15],"feature":[17,46,87],"directions,":[18],"resulting":[19],"sensitivity":[21],"rotational":[23,53,112,210],"variation,":[24],"sparse":[25],"correct":[26,63,187],"matches,":[27],"high":[29],"false":[30],"match":[31],"rates.":[32],"In":[33],"order":[34],"address":[36],"these":[37],"challenges,":[38],"this":[39],"article":[40],"proposes":[41],"a":[42,74,84,90,100,129],"second-order":[43,76,92],"tensor":[44,77,85,93],"orientation":[45,78,86,104],"transformation":[47],"(SOFT)":[48],"method":[49,68,165],"improve":[51],"the":[52,60,163,177,184],"invariance":[54,113,211],"of":[55,62,131,158,186,196,215],"MRSI":[56,206],"matching":[57,117,140,207],"increase":[59],"number":[61],"matches":[64,188],"(NCMs).":[65],"The":[66,199],"SOFT":[67,164,201],"has":[69],"two":[70],"main":[71],"contributions:":[72],"1)":[73],"novel":[75],"descriptor":[79,107],"is":[80,96,126],"constructed":[81],"by":[82,144],"generating":[83],"map":[88],"using":[89],"designed":[91],"function,":[94],"which":[95],"then":[97],"combined":[98],"with":[99,208],"gradient":[101],"location":[102],"histogram":[105],"(GLOH)-like":[106],"framework":[108],"achieve":[110],"robust":[111,205],"2)":[119],"an":[120,145,172,179,191],"error-removal":[121],"global-local":[122],"iterative":[123,146],"optimization":[124,148],"(EGIO)":[125],"introduced,":[127],"employing":[128],"skewness":[130],"mixed":[132],"pixel":[133],"intensity":[134],"(SMPI)":[135],"function":[136],"automatically":[138],"select":[139],"seed":[141],"points,":[142,217],"followed":[143],"partition":[147],"strategy":[149],"for":[150,221],"refining":[151],"corresponding":[152,216],"points.":[153],"Experiments":[154],"on":[155],"744":[156],"groups":[157],"typical":[159],"MRSIs":[160],"demonstrate":[161],"that":[162],"significantly":[166],"outperforms":[167],"nine":[168],"state-of-the-art":[169],"methods,":[170],"achieving":[171],"average":[173,180,192],"97%":[174],"improvement":[175,182],"NCMs,":[178],"25.51%":[181],"rate":[185],"(RCMs),":[189],"reduction":[193],"RMSE":[195],"2.69":[197],"pixels.":[198],"proposed":[200],"method,":[202],"thus,":[203],"offers":[204],"strong":[209],"precise":[213],"identification":[214],"proving":[218],"its":[219],"effectiveness":[220],"complex":[222],"scenarios.":[225],"Access":[226],"experiment-related":[228],"data":[229],"codes":[231],"will":[232],"be":[233],"provided":[234],"at":[235],"<uri":[236],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[237],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://skyearth.org/research/</uri>.":[238]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
