{"id":"https://openalex.org/W2898848437","doi":"https://doi.org/10.3390/rs10111719","title":"An Extension of Phase Correlation-Based Image Registration to Estimate Similarity Transform Using Multiple Polar Fourier Transform","display_name":"An Extension of Phase Correlation-Based Image Registration to Estimate Similarity Transform Using Multiple Polar Fourier Transform","publication_year":2018,"publication_date":"2018-10-31","ids":{"openalex":"https://openalex.org/W2898848437","doi":"https://doi.org/10.3390/rs10111719","mag":"2898848437"},"language":"en","primary_location":{"id":"doi:10.3390/rs10111719","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10111719","pdf_url":"https://www.mdpi.com/2072-4292/10/11/1719/pdf?version=1540980178","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/10/11/1719/pdf?version=1540980178","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076092683","display_name":"Yunyun Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunyun Dong","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002628191","display_name":"Weili Jiao","orcid":"https://orcid.org/0000-0003-1156-9860"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weili Jiao","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112970588","display_name":"Tengfei Long","orcid":"https://orcid.org/0000-0003-3572-4415"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tengfei Long","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048350041","display_name":"Guojin He","orcid":"https://orcid.org/0000-0001-7225-7276"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guojin He","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110600725","display_name":"Chengjuan Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengjuan Gong","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5002628191","https://openalex.org/A5112970588"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":25.2684,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.99010447,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"10","issue":"11","first_page":"1719","last_page":"1719"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9968000054359436,"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"}},"topics":[{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9968000054359436,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.986299991607666,"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/T11405","display_name":"Geophysics and Gravity Measurements","score":0.9822999835014343,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/phase-correlation","display_name":"Phase correlation","score":0.8161724209785461},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.6231280565261841},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5863651037216187},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5771144032478333},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5136882662773132},{"id":"https://openalex.org/keywords/polar","display_name":"Polar","score":0.5022914409637451},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.48793742060661316},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4706753194332123},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4635225236415863},{"id":"https://openalex.org/keywords/cross-correlation","display_name":"Cross-correlation","score":0.4100264012813568},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3244224786758423},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28869229555130005},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2765401601791382},{"id":"https://openalex.org/keywords/fractional-fourier-transform","display_name":"Fractional Fourier transform","score":0.2600668966770172},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.17367884516716003},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1707707941532135},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1239686906337738}],"concepts":[{"id":"https://openalex.org/C93509452","wikidata":"https://www.wikidata.org/wiki/Q7180943","display_name":"Phase correlation","level":5,"score":0.8161724209785461},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.6231280565261841},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5863651037216187},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5771144032478333},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5136882662773132},{"id":"https://openalex.org/C29705727","wikidata":"https://www.wikidata.org/wiki/Q294562","display_name":"Polar","level":2,"score":0.5022914409637451},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.48793742060661316},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4706753194332123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4635225236415863},{"id":"https://openalex.org/C163018871","wikidata":"https://www.wikidata.org/wiki/Q1302587","display_name":"Cross-correlation","level":2,"score":0.4100264012813568},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3244224786758423},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28869229555130005},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2765401601791382},{"id":"https://openalex.org/C76563020","wikidata":"https://www.wikidata.org/wiki/Q4817582","display_name":"Fractional Fourier transform","level":4,"score":0.2600668966770172},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.17367884516716003},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1707707941532135},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1239686906337738},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"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/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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs10111719","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10111719","pdf_url":"https://www.mdpi.com/2072-4292/10/11/1719/pdf?version=1540980178","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8a34402cfdd848448cf1435cc14936a6","is_oa":true,"landing_page_url":"https://doaj.org/article/8a34402cfdd848448cf1435cc14936a6","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 10, Iss 11, p 1719 (2018)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/10/11/1719/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs10111719","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 10; Issue 11; Pages: 1719","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs10111719","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10111719","pdf_url":"https://www.mdpi.com/2072-4292/10/11/1719/pdf?version=1540980178","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2266528066","display_name":null,"funder_award_id":"2016YFA0600302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2843283653","display_name":null,"funder_award_id":"61731022 and 61701495","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3246091792","display_name":null,"funder_award_id":"XDA19090300","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5538849239","display_name":null,"funder_award_id":"61731022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6258415954","display_name":null,"funder_award_id":"Chinese","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8930105049","display_name":null,"funder_award_id":"61701495","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/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2898848437.pdf","grobid_xml":"https://content.openalex.org/works/W2898848437.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1498515849","https://openalex.org/W1577625451","https://openalex.org/W1579634341","https://openalex.org/W1963623641","https://openalex.org/W1971307900","https://openalex.org/W1975732787","https://openalex.org/W1979887666","https://openalex.org/W1982211112","https://openalex.org/W1982479238","https://openalex.org/W2027262947","https://openalex.org/W2032098896","https://openalex.org/W2050353448","https://openalex.org/W2065626396","https://openalex.org/W2066941820","https://openalex.org/W2068914842","https://openalex.org/W2078498319","https://openalex.org/W2079700955","https://openalex.org/W2079783228","https://openalex.org/W2101744743","https://openalex.org/W2112725463","https://openalex.org/W2115072079","https://openalex.org/W2116710882","https://openalex.org/W2131372145","https://openalex.org/W2140580419","https://openalex.org/W2142883007","https://openalex.org/W2144788356","https://openalex.org/W2147555557","https://openalex.org/W2148416589","https://openalex.org/W2149839062","https://openalex.org/W2151103935","https://openalex.org/W2151354735","https://openalex.org/W2161001197","https://openalex.org/W2199368182","https://openalex.org/W2284128390","https://openalex.org/W2469525320","https://openalex.org/W2565387298","https://openalex.org/W2589547048","https://openalex.org/W2598308383","https://openalex.org/W2726622130","https://openalex.org/W2753392614","https://openalex.org/W2760321697","https://openalex.org/W2767013698","https://openalex.org/W2770945400","https://openalex.org/W2775386268","https://openalex.org/W2781778455","https://openalex.org/W2786346697","https://openalex.org/W2809252577","https://openalex.org/W2901025015","https://openalex.org/W3145984249"],"related_works":["https://openalex.org/W2033702064","https://openalex.org/W3006323941","https://openalex.org/W2369675751","https://openalex.org/W2081634293","https://openalex.org/W1606847055","https://openalex.org/W2104722041","https://openalex.org/W4313178674","https://openalex.org/W2166614310","https://openalex.org/W1972254008","https://openalex.org/W1974888188"],"abstract_inverted_index":{"Image":[0],"registration":[1,25,39,143,287],"is":[2,13,92,190,211],"a":[3,76,154,165,239],"core":[4],"technology":[5],"of":[6,23,30,45,79,98,104,107,118,131,139,184,188,196,209],"many":[7],"different":[8,173],"image":[9,24,38,142],"processing":[10],"areas":[11],"and":[12,49,59,120,136,144,167,219,225,229,246,275,283,293],"widely":[14],"used":[15],"in":[16,63,95,222],"the":[17,28,70,96,102,105,108,116,124,132,149,157,178,185,194,197,206,212,255,262,270,276,284],"remote":[18],"sensing":[19],"community.":[20],"The":[21,182,235,250],"accuracy":[22,48,78,134,221],"largely":[26],"determines":[27],"effect":[29],"subsequent":[31],"applications.":[32],"In":[33,200],"recent":[34],"years,":[35],"phase":[36,71,125,140,264],"correlation-based":[37,141,265],"has":[40],"drawn":[41],"much":[42],"attention":[43],"because":[44],"its":[46,54,90,217,294],"high":[47,133,220],"efficiency":[50],"as":[51,53,242,244],"well":[52,243],"robustness":[55],"to":[56,147,176,193],"gray":[57],"difference":[58],"even":[60,84],"slight":[61],"changes":[62],"content.":[64],"Many":[65],"researchers":[66],"have":[67],"reported":[68],"that":[69,254],"correlation":[72,126],"method":[73,281],"can":[74],"acquire":[75],"sub-pixel":[77],"1":[80,85],"/":[81,86],"10":[82],"or":[83],"100":[87],".":[88],"However,":[89,110],"performance":[91],"acquired":[93],"only":[94],"case":[97],"translation,":[99],"which":[100,163],"limits":[101],"scope":[103],"application":[106],"method.":[109,127],"there":[111],"are":[112],"few":[113],"reports":[114],"on":[115,123],"estimation":[117,204,268],"scales":[119],"angles":[121,224],"based":[122],"To":[128,215],"take":[129],"advantage":[130],"property":[135],"other":[137],"merits":[138],"extend":[145],"it":[146],"estimate":[148],"similarity":[150,266],"transform,":[151],"we":[152],"proposed":[153,256],"novel":[155],"algorithm,":[156],"Multilayer":[158,277],"Polar":[159],"Fourier":[160,170,180,272,279],"Transform":[161,273,280,291],"(MPFT),":[162],"uses":[164],"fast":[166],"accurate":[168],"polar":[169,186,207],"transform":[171,267],"with":[172],"scaling":[174],"factors":[175],"calculate":[177],"log-polar":[179,198],"transform.":[181],"structure":[183],"grids":[187],"MPFT":[189,210],"more":[191],"similar":[192],"one":[195],"grid.":[199,214],"particular,":[201],"for":[202],"rotation":[203],"only,":[205],"grid":[208],"calculation":[213],"validate":[216],"effectiveness":[218],"estimating":[223],"scales,":[226],"both":[227],"qualitative":[228],"quantitative":[230,236],"experiments":[231,237],"were":[232],"carried":[233],"out.":[234],"included":[238],"numerical":[240],"simulation":[241],"synthetic":[245],"real":[247],"data":[248],"experiments.":[249],"experimental":[251],"results":[252],"showed":[253],"method,":[257,288],"MPFT,":[258],"performs":[259],"better":[260],"than":[261],"existing":[263],"methods,":[269],"Pseudo-polar":[271],"(PPFT)":[274],"Fractional":[278],"(MLFFT),":[282],"classical":[285],"feature-based":[286],"Scale-Invariant":[289],"Feature":[290],"(SIFT),":[292],"variant,":[295],"ms-SIFT.":[296]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":7}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
