{"id":"https://openalex.org/W2050353448","doi":"https://doi.org/10.1109/tgrs.2015.2391999","title":"A Novel Subpixel Phase Correlation Method Using Singular Value Decomposition and Unified Random Sample Consensus","display_name":"A Novel Subpixel Phase Correlation Method Using Singular Value Decomposition and Unified Random Sample Consensus","publication_year":2015,"publication_date":"2015-02-11","ids":{"openalex":"https://openalex.org/W2050353448","doi":"https://doi.org/10.1109/tgrs.2015.2391999","mag":"2050353448"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2015.2391999","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2015.2391999","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/A5039348214","display_name":"Xiaohua Tong","orcid":"https://orcid.org/0000-0002-1045-3797"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohua Tong","raw_affiliation_strings":["College of Surveying and Geo-Informatics, Tongji University, Shanghai, China","Coll. of Surveying & Geo- Inf., Tongji Univ., Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-Informatics, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Coll. of Surveying & Geo- Inf., Tongji Univ., Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073808631","display_name":"Zhen Ye","orcid":"https://orcid.org/0000-0002-7178-9817"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Ye","raw_affiliation_strings":["College of Surveying and Geo-Informatics, Tongji University, Shanghai, China","Coll. of Surveying & Geo- Inf., Tongji Univ., Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-Informatics, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Coll. of Surveying & Geo- Inf., Tongji Univ., Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017515038","display_name":"Yusheng Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yusheng Xu","raw_affiliation_strings":["College of Surveying and Geo-Informatics, Tongji University, Shanghai, China","Coll. of Surveying & Geo- Inf., Tongji Univ., Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-Informatics, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Coll. of Surveying & Geo- Inf., Tongji Univ., Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100424831","display_name":"Shijie Liu","orcid":"https://orcid.org/0000-0002-5941-0763"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shijie Liu","raw_affiliation_strings":["College of Surveying and Geo-Informatics, Tongji University, Shanghai, China","Coll. of Surveying & Geo- Inf., Tongji Univ., Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-Informatics, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Coll. of Surveying & Geo- Inf., Tongji Univ., Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100636404","display_name":"Lingyun Li","orcid":"https://orcid.org/0000-0002-3042-4512"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingyun Li","raw_affiliation_strings":["College of Surveying and Geo-Informatics, Tongji University, Shanghai, China","Coll. of Surveying & Geo- Inf., Tongji Univ., Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-Informatics, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Coll. of Surveying & Geo- Inf., Tongji Univ., Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008163978","display_name":"Huan Xie","orcid":"https://orcid.org/0000-0003-3272-7848"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Xie","raw_affiliation_strings":["College of Surveying and Geo-Informatics, Tongji University, Shanghai, China","Coll. of Surveying & Geo- Inf., Tongji Univ., Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-Informatics, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Coll. of Surveying & Geo- Inf., Tongji Univ., Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101773152","display_name":"Tianpeng Li","orcid":"https://orcid.org/0000-0001-7115-9391"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianpeng Li","raw_affiliation_strings":["College of Surveying and Geo-Informatics, Tongji University, Shanghai, China","Coll. of Surveying & Geo- Inf., Tongji Univ., Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-Informatics, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Coll. of Surveying & Geo- Inf., Tongji Univ., Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":14.3101,"has_fulltext":false,"cited_by_count":120,"citation_normalized_percentile":{"value":0.98928497,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"53","issue":"8","first_page":"4143","last_page":"4156"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9943000078201294,"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"}},"topics":[{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9943000078201294,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9929999709129333,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9918000102043152,"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/subpixel-rendering","display_name":"Subpixel rendering","score":0.9537850618362427},{"id":"https://openalex.org/keywords/ransac","display_name":"RANSAC","score":0.756577730178833},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6695990562438965},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6291713714599609},{"id":"https://openalex.org/keywords/phase-correlation","display_name":"Phase correlation","score":0.5612805485725403},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.5358145833015442},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5336635112762451},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4889591932296753},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4687770903110504},{"id":"https://openalex.org/keywords/aliasing","display_name":"Aliasing","score":0.42815402150154114},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3734883666038513},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31577906012535095},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19087687134742737},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.15209579467773438},{"id":"https://openalex.org/keywords/undersampling","display_name":"Undersampling","score":0.13478678464889526}],"concepts":[{"id":"https://openalex.org/C68516990","wikidata":"https://www.wikidata.org/wiki/Q452912","display_name":"Subpixel rendering","level":3,"score":0.9537850618362427},{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.756577730178833},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6695990562438965},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6291713714599609},{"id":"https://openalex.org/C93509452","wikidata":"https://www.wikidata.org/wiki/Q7180943","display_name":"Phase correlation","level":5,"score":0.5612805485725403},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.5358145833015442},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5336635112762451},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4889591932296753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4687770903110504},{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.42815402150154114},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3734883666038513},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31577906012535095},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19087687134742737},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.15209579467773438},{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.13478678464889526},{"id":"https://openalex.org/C166386157","wikidata":"https://www.wikidata.org/wiki/Q1477735","display_name":"Short-time Fourier transform","level":4,"score":0.0},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/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.2015.2391999","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2015.2391999","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":[{"id":"https://metadata.un.org/sdg/16","score":0.8199999928474426,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G3135117218","display_name":null,"funder_award_id":"2012AA120905","funder_id":"https://openalex.org/F4320335773","funder_display_name":"National High-tech Research and Development Program"},{"id":"https://openalex.org/G4349848470","display_name":null,"funder_award_id":"41171352","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6299625445","display_name":null,"funder_award_id":"41 401531","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7347022614","display_name":null,"funder_award_id":"41325005","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/F4320322449","display_name":"Tongji University","ror":"https://ror.org/03rc6as71"},{"id":"https://openalex.org/F4320335773","display_name":"National High-tech Research and Development Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W414265389","https://openalex.org/W1520822062","https://openalex.org/W1539250641","https://openalex.org/W1566135517","https://openalex.org/W1577625451","https://openalex.org/W1593276654","https://openalex.org/W1971307900","https://openalex.org/W1971451655","https://openalex.org/W1973882860","https://openalex.org/W1975110625","https://openalex.org/W1975840851","https://openalex.org/W1977691959","https://openalex.org/W1982211112","https://openalex.org/W1988043901","https://openalex.org/W2001836169","https://openalex.org/W2005695642","https://openalex.org/W2006410387","https://openalex.org/W2020832941","https://openalex.org/W2024548552","https://openalex.org/W2032098896","https://openalex.org/W2033819227","https://openalex.org/W2044425523","https://openalex.org/W2046434485","https://openalex.org/W2052161090","https://openalex.org/W2057749491","https://openalex.org/W2065626396","https://openalex.org/W2067038123","https://openalex.org/W2067042811","https://openalex.org/W2068914842","https://openalex.org/W2073129397","https://openalex.org/W2081321639","https://openalex.org/W2082958217","https://openalex.org/W2083272290","https://openalex.org/W2085261163","https://openalex.org/W2096217453","https://openalex.org/W2099264396","https://openalex.org/W2103606711","https://openalex.org/W2111073598","https://openalex.org/W2111471851","https://openalex.org/W2116434318","https://openalex.org/W2128951809","https://openalex.org/W2129016132","https://openalex.org/W2130017587","https://openalex.org/W2131372145","https://openalex.org/W2131908723","https://openalex.org/W2136472892","https://openalex.org/W2136811977","https://openalex.org/W2139540805","https://openalex.org/W2140580419","https://openalex.org/W2142883007","https://openalex.org/W2144714890","https://openalex.org/W2144788356","https://openalex.org/W2147253850","https://openalex.org/W2149839062","https://openalex.org/W2158453800","https://openalex.org/W2163002569","https://openalex.org/W2163400542","https://openalex.org/W2164956021","https://openalex.org/W2168122860","https://openalex.org/W2168406143","https://openalex.org/W2169150909","https://openalex.org/W2171065153","https://openalex.org/W2172283661","https://openalex.org/W2332136378","https://openalex.org/W2545074589","https://openalex.org/W6631012428","https://openalex.org/W6632232448","https://openalex.org/W6679241117","https://openalex.org/W6679467917"],"related_works":["https://openalex.org/W2171560940","https://openalex.org/W2039904579","https://openalex.org/W1985149808","https://openalex.org/W2546871836","https://openalex.org/W2136485282","https://openalex.org/W1523720176","https://openalex.org/W2371402559","https://openalex.org/W2351496201","https://openalex.org/W2080597906","https://openalex.org/W1592420352"],"abstract_inverted_index":{"Subpixel":[0],"translation":[1,82],"estimation":[2,83],"using":[3,61,258],"phase":[4,25,58,137],"correlation":[5,26,59,138],"is":[6,156,277],"a":[7,55,99],"fundamental":[8],"task":[9],"for":[10,88,102,109,159],"numerous":[11],"applications":[12],"in":[13,29,44,106,202,210,223],"the":[14,22,41,45,67,75,81,93,103,110,120,126,131,135,150,153,175,179,182,187,194,198,203,216,242,248,253,267,273,283],"remote":[15,49],"sensing":[16,50],"community.":[17],"The":[18,116,229],"major":[19],"drawback":[20],"of":[21,47,122,134,152,205,231,261,272,282],"existing":[23,200],"subpixel":[24,57,224],"methods":[27,201],"lies":[28],"their":[30],"sensitivity":[31],"to":[32,85,173,237,279],"corruption,":[33],"including":[34],"aliasing":[35,207],"and":[36,66,90,92,114,125,129,167,208,213,270],"noise,":[37,209],"as":[38,40,98,245],"well":[39],"poor":[42],"performance":[43,269],"case":[46,108],"practical":[48,160],"data.":[51],"This":[52],"paper":[53],"presents":[54],"novel":[56],"method":[60,118,124,139,155,196],"singular":[62],"value":[63],"decomposition":[64],"(SVD)":[65],"unified":[68,94],"random":[69],"sample":[70],"consensus":[71],"(RANSAC)":[72],"algorithm.":[73],"In":[74,178,252],"proposed":[76,117,154,176,195,243,274],"method,":[77,244,275],"SVD":[78],"theoretically":[79],"converts":[80],"problem":[84],"one":[86],"dimensions":[87],"simplicity":[89],"efficiency,":[91],"RANSAC":[95,127],"algorithm":[96,128],"acts":[97],"robust":[100],"estimator":[101],"line":[104],"fitting,":[105],"this":[107],"high":[111],"accuracy,":[112],"stability,":[113],"robustness.":[115,214],"integrates":[119],"advantages":[121],"Hoge's":[123,250],"avoids":[130],"corresponding":[132],"shortfalls":[133],"original":[136,249],"based":[140],"only":[141],"on":[142,149],"SVD.":[143],"A":[144],"pixel-to-pixel":[145],"dense":[146],"matching":[147,225],"scheme":[148],"basis":[151],"also":[157,227],"developed":[158],"image":[161,190,284],"registration.":[162],"Experiments":[163],"with":[164,247],"both":[165,206,211],"simulated":[166,180],"real":[168,254],"data":[169,255],"were":[170],"carried":[171],"out":[172],"test":[174],"method.":[177,251],"case,":[181,256],"comparative":[183],"results":[184],"estimated":[185],"from":[186],"generated":[188],"synthetic":[189],"pairs":[191],"indicate":[192],"that":[193,220],"outperforms":[197],"other":[199],"presence":[204],"accuracy":[212],"Moreover,":[215],"pixel":[217,232],"locking":[218,233],"effect":[219,234],"commonly":[221],"occurs":[222],"was":[226,235],"investigated.":[228],"degree":[230],"found":[236],"be":[238],"significantly":[239],"weakened":[240],"by":[241],"compared":[246],"experiments":[257],"different":[259],"bands":[260],"ZY-3":[262],"multispectral":[263],"sensor-corrected":[264],"images":[265],"demonstrate":[266],"promising":[268],"feasibility":[271],"which":[276],"able":[278],"identify":[280],"seams":[281],"stitching":[285],"between":[286],"sub-charge-coupled":[287],"device":[288],"units.":[289]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":18},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
