{"id":"https://openalex.org/W2965953657","doi":"https://doi.org/10.3390/rs11151833","title":"A Novel Coarse-to-Fine Scheme for Remote Sensing Image Registration Based on SIFT and Phase Correlation","display_name":"A Novel Coarse-to-Fine Scheme for Remote Sensing Image Registration Based on SIFT and Phase Correlation","publication_year":2019,"publication_date":"2019-08-06","ids":{"openalex":"https://openalex.org/W2965953657","doi":"https://doi.org/10.3390/rs11151833","mag":"2965953657"},"language":"en","primary_location":{"id":"doi:10.3390/rs11151833","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11151833","pdf_url":null,"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://doi.org/10.3390/rs11151833","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040478354","display_name":"Han Yang","orcid":"https://orcid.org/0000-0002-7825-0902"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Yang","raw_affiliation_strings":["Faculty of Electrical Engineering, Zhejiang University, No. 38, West Lake District, Hangzhou 310000, China"],"raw_orcid":"https://orcid.org/0000-0002-7825-0902","affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Zhejiang University, No. 38, West Lake District, Hangzhou 310000, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062771797","display_name":"Xiaorun Li","orcid":"https://orcid.org/0000-0002-4312-7533"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaorun Li","raw_affiliation_strings":["Faculty of Electrical Engineering, Zhejiang University, No. 38, West Lake District, Hangzhou 310000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Zhejiang University, No. 38, West Lake District, Hangzhou 310000, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054794945","display_name":"Liaoying Zhao","orcid":"https://orcid.org/0000-0002-9276-8679"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liaoying Zhao","raw_affiliation_strings":["Schoole of Computer Science and Technology, Hangzhou Dianzi University, No.1 Street, Baiyang Street, Hangzhou Economic and Technological Development Zone, Hangzhou 310018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Schoole of Computer Science and Technology, Hangzhou Dianzi University, No.1 Street, Baiyang Street, Hangzhou Economic and Technological Development Zone, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028845261","display_name":"Shuhan Chen","orcid":"https://orcid.org/0000-0001-9996-0666"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuhan Chen","raw_affiliation_strings":["Faculty of Electrical Engineering, Zhejiang University, No. 38, West Lake District, Hangzhou 310000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Zhejiang University, No. 38, West Lake District, Hangzhou 310000, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5062771797"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2784},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2784},"fwci":35.2005,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.99317137,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"11","issue":"15","first_page":"1833","last_page":"1833"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9994000196456909,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9994000196456909,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993000030517578,"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":0.991599977016449,"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/image-registration","display_name":"Image registration","score":0.8360472917556763},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.730018138885498},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6451576352119446},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.5930737853050232},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.5892393589019775},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5489217042922974},{"id":"https://openalex.org/keywords/phase-correlation","display_name":"Phase correlation","score":0.5450624823570251},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.544196605682373},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4713817536830902},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4230671525001526},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.4152772128582001},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40280821919441223},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.27917516231536865},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26491498947143555},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2603375315666199},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08518096804618835},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.08259063959121704}],"concepts":[{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.8360472917556763},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.730018138885498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6451576352119446},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.5930737853050232},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.5892393589019775},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5489217042922974},{"id":"https://openalex.org/C93509452","wikidata":"https://www.wikidata.org/wiki/Q7180943","display_name":"Phase correlation","level":5,"score":0.5450624823570251},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.544196605682373},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4713817536830902},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4230671525001526},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.4152772128582001},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40280821919441223},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.27917516231536865},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26491498947143555},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2603375315666199},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08518096804618835},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.08259063959121704},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs11151833","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11151833","pdf_url":null,"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:61e4570d2c3f472591eeed59088f169c","is_oa":true,"landing_page_url":"https://doaj.org/article/61e4570d2c3f472591eeed59088f169c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"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 11, Iss 15, p 1833 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/11/15/1833/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs11151833","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","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs11151833","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11151833","pdf_url":null,"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/G4905474492","display_name":null,"funder_award_id":"No.61671408","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1488435683","https://openalex.org/W1520822062","https://openalex.org/W1561797649","https://openalex.org/W1577625451","https://openalex.org/W1963623641","https://openalex.org/W1972731536","https://openalex.org/W2000370119","https://openalex.org/W2032098896","https://openalex.org/W2048371327","https://openalex.org/W2050353448","https://openalex.org/W2069071071","https://openalex.org/W2079700955","https://openalex.org/W2115072079","https://openalex.org/W2119605622","https://openalex.org/W2124287616","https://openalex.org/W2131372145","https://openalex.org/W2141584146","https://openalex.org/W2145072179","https://openalex.org/W2146733066","https://openalex.org/W2147555557","https://openalex.org/W2149839062","https://openalex.org/W2151103935","https://openalex.org/W2153628642","https://openalex.org/W2177274842","https://openalex.org/W2290958930","https://openalex.org/W2294035976","https://openalex.org/W2304400874","https://openalex.org/W2468367546","https://openalex.org/W2523227884","https://openalex.org/W2524507554","https://openalex.org/W2760321697","https://openalex.org/W2791358581","https://openalex.org/W2792142050","https://openalex.org/W2800324071","https://openalex.org/W2883119505","https://openalex.org/W2897103380","https://openalex.org/W2904098859","https://openalex.org/W2916991976","https://openalex.org/W2945883148","https://openalex.org/W4302620335","https://openalex.org/W6681658146","https://openalex.org/W6693747659"],"related_works":["https://openalex.org/W2030690614","https://openalex.org/W4237936143","https://openalex.org/W1967071448","https://openalex.org/W2089006188","https://openalex.org/W138041562","https://openalex.org/W4312759412","https://openalex.org/W3006323941","https://openalex.org/W3035475297","https://openalex.org/W2369675751","https://openalex.org/W2081634293"],"abstract_inverted_index":{"Automatic":[0],"image":[1,89,106,112,168,196],"registration":[2,14,36,46,59,95,120,130,139,147,169,197],"has":[3],"been":[4],"wildly":[5],"used":[6],"in":[7,151],"remote":[8,160],"sensing":[9,161],"applications.":[10],"However,":[11],"the":[12,42,75,87,93,103,110,118,125,128,132,152,172,178],"feature-based":[13,45,58,138],"method":[15,60,70],"is":[16,38,61,71,90,107],"sometimes":[17],"inaccurate":[18],"and":[19,28,47,131,140,175,194],"unstable":[20],"for":[21,63],"images":[22],"with":[23],"large":[24],"scale":[25],"difference,":[26],"grayscale":[27],"texture":[29],"differences.":[30],"In":[31],"this":[32],"manuscript,":[33],"a":[34],"coarse-to-fine":[35],"scheme":[37,52],"proposed,":[39],"which":[40,80,163],"combines":[41],"advantage":[43],"of":[44,54,77,84,127,137,143,157,177],"phase":[48,115,145],"correlation-based":[49,146],"registration.":[50,65,134],"The":[51,181],"consists":[53],"four":[55],"steps.":[56],"First,":[57],"adopted":[62],"coarse":[64,78,94,129],"A":[66],"geometrical":[67],"outlier":[68],"removal":[69],"applied":[72],"to":[73,109],"improve":[74],"accuracy":[76,142,176],"registration,":[79],"uses":[81],"geometric":[82],"similarities":[83],"inliers.":[85],"Then,":[86],"sensed":[88,105],"modified":[91,104],"through":[92],"result":[96],"under":[97],"affine":[98],"deformation":[99],"model.":[100],"After":[101],"that,":[102],"registered":[108],"reference":[111],"by":[113,124],"extended":[114,144],"correlation.":[116],"Lastly,":[117],"final":[119],"results":[121,156],"are":[122,148],"calculated":[123],"fusion":[126],"fine":[133],"High":[135],"universality":[136],"high":[141,173],"both":[149],"preserved":[150],"proposed":[153,179],"method.":[154,180],"Experimental":[155],"several":[158,166],"different":[159],"images,":[162],"come":[164],"from":[165],"published":[167],"papers,":[170],"demonstrate":[171],"robustness":[174],"evaluation":[182],"contains":[183],"root":[184],"mean":[185,190],"square":[186,191],"error":[187,192],"(RMSE),":[188],"Laplace":[189],"(LMSE)":[193],"red\u2013green":[195],"results.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":8}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}