{"id":"https://openalex.org/W2060695547","doi":"https://doi.org/10.1109/lgrs.2014.2359518","title":"A Robust Delaunay Triangulation Matching for Multispectral/Multidate Remote Sensing Image Registration","display_name":"A Robust Delaunay Triangulation Matching for Multispectral/Multidate Remote Sensing Image Registration","publication_year":2014,"publication_date":"2014-10-02","ids":{"openalex":"https://openalex.org/W2060695547","doi":"https://doi.org/10.1109/lgrs.2014.2359518","mag":"2060695547"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2014.2359518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2014.2359518","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5101521257","display_name":"Ming Zhao","orcid":"https://orcid.org/0000-0002-1310-6766"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ming Zhao","raw_affiliation_strings":["Department of Logistics Engineering, Shanghai Maritime University, Shanghai, China","[Department of Logistics Engineering, Shanghai Maritime University, Shanghai, China]"],"affiliations":[{"raw_affiliation_string":"Department of Logistics Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]},{"raw_affiliation_string":"[Department of Logistics Engineering, Shanghai Maritime University, Shanghai, China]","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085696939","display_name":"Bowen An","orcid":"https://orcid.org/0000-0002-5031-9277"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bowen An","raw_affiliation_strings":["Department of Information Engineering, Shanghai Maritime University, Shanghai, China","Dept. of Inf. Eng., Shanghai Maritime Univ., Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]},{"raw_affiliation_string":"Dept. of Inf. Eng., Shanghai Maritime Univ., Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065362219","display_name":"Yongpeng Wu","orcid":"https://orcid.org/0000-0001-8210-5057"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yongpeng Wu","raw_affiliation_strings":["Institute for Digital Communications, Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany","Inst. for Digital Commun., Univ. Erlangen-Nurnberg, Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Digital Communications, Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"Inst. for Digital Commun., Univ. Erlangen-Nurnberg, Erlangen, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100688828","display_name":"Boyang Chen","orcid":"https://orcid.org/0000-0002-7855-7867"},"institutions":[{"id":"https://openalex.org/I141301092","display_name":"China Meteorological Administration","ror":"https://ror.org/00bx3rb98","country_code":"CN","type":"government","lineage":["https://openalex.org/I141301092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boyang Chen","raw_affiliation_strings":["Office of System Development, National Satellite Meteorological Center, Beijing, China","Office of Syst. Dev., Nat. Satellite Meteorol. Center, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Office of System Development, National Satellite Meteorological Center, Beijing, China","institution_ids":["https://openalex.org/I141301092"]},{"raw_affiliation_string":"Office of Syst. Dev., Nat. Satellite Meteorol. Center, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112116770","display_name":"Shengli Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I67001856","display_name":"Shanghai Institute of Technology","ror":"https://ror.org/00fjzqj15","country_code":"CN","type":"education","lineage":["https://openalex.org/I67001856"]},{"id":"https://openalex.org/I4210135723","display_name":"Shanghai Institute of Technical Physics","ror":"https://ror.org/02txedb84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210135723"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengli Sun","raw_affiliation_strings":["Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, China","Shanghai Inst. of Tech. Phys., Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, China","institution_ids":["https://openalex.org/I4210135723"]},{"raw_affiliation_string":"Shanghai Inst. of Tech. Phys., Shanghai, China","institution_ids":["https://openalex.org/I67001856"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101521257"],"corresponding_institution_ids":["https://openalex.org/I96733725"],"apc_list":null,"apc_paid":null,"fwci":2.1949,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.90375427,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"12","issue":"4","first_page":"711","last_page":"715"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9945999979972839,"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/delaunay-triangulation","display_name":"Delaunay triangulation","score":0.8481481671333313},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.6659314036369324},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5990424156188965},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5826457142829895},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5595448613166809},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.551089882850647},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5175189971923828},{"id":"https://openalex.org/keywords/bowyer\u2013watson-algorithm","display_name":"Bowyer\u2013Watson algorithm","score":0.4605606496334076},{"id":"https://openalex.org/keywords/voronoi-diagram","display_name":"Voronoi diagram","score":0.45063936710357666},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4481215476989746},{"id":"https://openalex.org/keywords/constrained-delaunay-triangulation","display_name":"Constrained Delaunay triangulation","score":0.41513246297836304},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4108372926712036},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37205904722213745},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36189621686935425},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28075501322746277},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.10305050015449524},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.075320303440094}],"concepts":[{"id":"https://openalex.org/C68010082","wikidata":"https://www.wikidata.org/wiki/Q192445","display_name":"Delaunay triangulation","level":2,"score":0.8481481671333313},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.6659314036369324},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5990424156188965},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5826457142829895},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5595448613166809},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.551089882850647},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5175189971923828},{"id":"https://openalex.org/C121198538","wikidata":"https://www.wikidata.org/wiki/Q4951461","display_name":"Bowyer\u2013Watson algorithm","level":3,"score":0.4605606496334076},{"id":"https://openalex.org/C24881265","wikidata":"https://www.wikidata.org/wiki/Q757267","display_name":"Voronoi diagram","level":2,"score":0.45063936710357666},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4481215476989746},{"id":"https://openalex.org/C128321387","wikidata":"https://www.wikidata.org/wiki/Q5164356","display_name":"Constrained Delaunay triangulation","level":3,"score":0.41513246297836304},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4108372926712036},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37205904722213745},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36189621686935425},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28075501322746277},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.10305050015449524},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.075320303440094},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2014.2359518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2014.2359518","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2485924256","display_name":null,"funder_award_id":"13CG51","funder_id":"https://openalex.org/F4320321528","funder_display_name":"Shanghai Educational Development Foundation"},{"id":"https://openalex.org/G2858845069","display_name":null,"funder_award_id":"61302132","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5110560420","display_name":null,"funder_award_id":"61171126","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"},{"id":"https://openalex.org/F4320321528","display_name":"Shanghai Educational Development Foundation","ror":"https://ror.org/0220qvk04"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1964855131","https://openalex.org/W1969081995","https://openalex.org/W1978009346","https://openalex.org/W1984434739","https://openalex.org/W1995921081","https://openalex.org/W1996362816","https://openalex.org/W2076321176","https://openalex.org/W2129601604","https://openalex.org/W2133714060","https://openalex.org/W2150760714","https://openalex.org/W2151103935"],"related_works":["https://openalex.org/W2001351033","https://openalex.org/W2385297469","https://openalex.org/W2381889232","https://openalex.org/W2359979928","https://openalex.org/W1529719486","https://openalex.org/W2347819474","https://openalex.org/W2371448287","https://openalex.org/W2358109229","https://openalex.org/W2354869996","https://openalex.org/W2206755844"],"abstract_inverted_index":{"A":[0],"novel":[1],"dual-graph-based":[2],"matching":[3,30,80],"method":[4],"is":[5,31,98],"proposed":[6,123],"in":[7,77,102],"this":[8],"letter":[9],"particularly":[10],"for":[11,52,125],"the":[12,39,56,63,74,85,88,93,103,110,117,122],"multispectral/multidate":[13],"images":[14],"with":[15,92],"low":[16],"overlapping":[17],"areas,":[18],"similar":[19],"patterns,":[20],"or":[21],"large":[22],"transformations.":[23],"First,":[24],"scale":[25,40],"invariant":[26],"feature":[27],"transform":[28],"based":[29],"improved":[32],"by":[33,61],"normalizing":[34],"gradient":[35],"orientations":[36],"and":[37,55,82,119],"maximizing":[38],"ratio":[41],"similarity":[42],"of":[43,65,96,121],"all":[44],"corresponding":[45,104],"points.":[46],"Next,":[47],"Delaunay":[48,66,78,97],"graphs":[49],"are":[50,59,107],"generated":[51],"outlier":[53],"removal,":[54],"candidate":[57],"outliers":[58],"selected":[60],"comparing":[62],"distinction":[64],"graph":[67,95],"structures.":[68],"In":[69],"order":[70],"to":[71,83,109],"bring":[72],"back":[73],"inliers":[75],"removed":[76],"triangulation":[79],"iterations":[81],"exclude":[84],"remaining":[86],"outliers,":[87],"recovery":[89],"strategy":[90],"equipped":[91],"dual":[94],"explored.":[99],"Inliers":[100],"located":[101],"Voronoi":[105],"cells":[106],"recovered":[108],"residual":[111],"sets.":[112],"The":[113],"experimental":[114],"results":[115],"demonstrate":[116],"accuracy":[118],"robustness":[120],"algorithm":[124],"various":[126],"representative":[127],"remote":[128],"sensing":[129],"images.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
