{"id":"https://openalex.org/W1822893402","doi":"https://doi.org/10.3390/rs70607044","title":"An ASIFT-Based Local Registration Method for Satellite Imagery","display_name":"An ASIFT-Based Local Registration Method for Satellite Imagery","publication_year":2015,"publication_date":"2015-05-29","ids":{"openalex":"https://openalex.org/W1822893402","doi":"https://doi.org/10.3390/rs70607044","mag":"1822893402"},"language":"en","primary_location":{"id":"doi:10.3390/rs70607044","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs70607044","pdf_url":"https://www.mdpi.com/2072-4292/7/6/7044/pdf?version=1433143750","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/2072-4292/7/6/7044/pdf?version=1433143750","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059319576","display_name":"Xiangjun Wang","orcid":"https://orcid.org/0000-0002-6199-1632"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangjun Wang","raw_affiliation_strings":["State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University,  92 Weijin Road, Tianjin 300072, China","State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, 92 Weijin Road, Tianjin 300072, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University,  92 Weijin Road, Tianjin 300072, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, 92 Weijin Road, Tianjin 300072, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100688703","display_name":"Yang Li","orcid":"https://orcid.org/0000-0003-3003-9857"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Li","raw_affiliation_strings":["State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University,  92 Weijin Road, Tianjin 300072, China","State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, 92 Weijin Road, Tianjin 300072, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University,  92 Weijin Road, Tianjin 300072, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, 92 Weijin Road, Tianjin 300072, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hong Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I71052956","display_name":"University of Reading","ror":"https://ror.org/05v62cm79","country_code":"GB","type":"education","lineage":["https://openalex.org/I71052956"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hong Wei","raw_affiliation_strings":["Computer Vision Group, School of Systems Engineering, University of Reading,  Berkshire RG6 6AY, UK","Computer Vision Group, School of Systems Engineering, University of Reading, Berkshire RG6 6AY, UK"],"affiliations":[{"raw_affiliation_string":"Computer Vision Group, School of Systems Engineering, University of Reading,  Berkshire RG6 6AY, UK","institution_ids":["https://openalex.org/I71052956"]},{"raw_affiliation_string":"Computer Vision Group, School of Systems Engineering, University of Reading, Berkshire RG6 6AY, UK","institution_ids":["https://openalex.org/I71052956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100415335","display_name":"Feng Liu","orcid":"https://orcid.org/0000-0003-2648-9986"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Liu","raw_affiliation_strings":["State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University,  92 Weijin Road, Tianjin 300072, China","State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, 92 Weijin Road, Tianjin 300072, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University,  92 Weijin Road, Tianjin 300072, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, 92 Weijin Road, Tianjin 300072, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100688703"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.8083,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.9363417,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"7","issue":"6","first_page":"7044","last_page":"7061"},"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":0.9994000196456909,"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":0.9994000196456909,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9970999956130981,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9941999912261963,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7632172107696533},{"id":"https://openalex.org/keywords/ransac","display_name":"RANSAC","score":0.6999865174293518},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6949675679206848},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6690553426742554},{"id":"https://openalex.org/keywords/homography","display_name":"Homography","score":0.6585461497306824},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.6051438450813293},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5241620540618896},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4937032163143158},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.42820632457733154},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4101223647594452},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.379499226808548},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24811354279518127},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19187378883361816}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7632172107696533},{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.6999865174293518},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6949675679206848},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6690553426742554},{"id":"https://openalex.org/C28751775","wikidata":"https://www.wikidata.org/wiki/Q2112539","display_name":"Homography","level":4,"score":0.6585461497306824},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.6051438450813293},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5241620540618896},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4937032163143158},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.42820632457733154},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4101223647594452},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.379499226808548},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24811354279518127},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19187378883361816},{"id":"https://openalex.org/C177846678","wikidata":"https://www.wikidata.org/wiki/Q1501864","display_name":"Projective test","level":2,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C75280867","wikidata":"https://www.wikidata.org/wiki/Q877775","display_name":"Projective space","level":3,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/rs70607044","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs70607044","pdf_url":"https://www.mdpi.com/2072-4292/7/6/7044/pdf?version=1433143750","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:centaur.reading.ac.uk:41208","is_oa":false,"landing_page_url":"https://centaur.reading.ac.uk/view/creators/90000399.html>","pdf_url":null,"source":{"id":"https://openalex.org/S4306402273","display_name":"CentAUR (University of Reading)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I71052956","host_organization_name":"University of Reading","host_organization_lineage":["https://openalex.org/I71052956"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:doaj.org/article:5a8524423b844083ac84de1794f00db6","is_oa":true,"landing_page_url":"https://doaj.org/article/5a8524423b844083ac84de1794f00db6","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 7, Iss 6, Pp 7044-7061 (2015)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/7/6/7044/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs70607044","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 7; Issue 6; Pages: 7044-7061","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs70607044","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs70607044","pdf_url":"https://www.mdpi.com/2072-4292/7/6/7044/pdf?version=1433143750","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":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1822893402.pdf","grobid_xml":"https://content.openalex.org/works/W1822893402.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W98932861","https://openalex.org/W1964456699","https://openalex.org/W1969081995","https://openalex.org/W1972731536","https://openalex.org/W1980113665","https://openalex.org/W2008745584","https://openalex.org/W2020188645","https://openalex.org/W2033819227","https://openalex.org/W2052094314","https://openalex.org/W2066803775","https://openalex.org/W2081852578","https://openalex.org/W2083358477","https://openalex.org/W2085261163","https://openalex.org/W2087070363","https://openalex.org/W2096566618","https://openalex.org/W2106199912","https://openalex.org/W2124386111","https://openalex.org/W2129601604","https://openalex.org/W2136369781","https://openalex.org/W2147555557","https://openalex.org/W2151103935","https://openalex.org/W2157026765","https://openalex.org/W2161001197","https://openalex.org/W2177274842","https://openalex.org/W2260524395","https://openalex.org/W4243684731","https://openalex.org/W6604020618","https://openalex.org/W6675860037"],"related_works":["https://openalex.org/W2182681094","https://openalex.org/W1968586027","https://openalex.org/W2098809595","https://openalex.org/W1982361117","https://openalex.org/W2081849558","https://openalex.org/W2994878781","https://openalex.org/W2804828343","https://openalex.org/W2792401163","https://openalex.org/W1579973560","https://openalex.org/W3159849251"],"abstract_inverted_index":{"Imagery":[0],"registration":[1,45,91,98,151,195,233],"is":[2,36,92,168],"a":[3,41,74,85,129,150,154,228],"fundamental":[4],"step,":[5],"which":[6,61],"greatly":[7],"affects":[8],"later":[9],"processes":[10],"in":[11,56,60,72,89],"image":[12,15,50,90],"mosaic,":[13],"multi-spectral":[14],"fusion,":[16],"digital":[17],"surface":[18],"modelling,":[19],"etc.,":[20],"where":[21],"the":[22,96,125,135,161,165,171,175,178,184,193,198,201,211,214,222],"final":[23],"solution":[24],"needs":[25],"blending":[26],"of":[27,158,177,213,249],"pixel":[28],"information":[29],"from":[30,100,192],"more":[31],"than":[32],"one":[33],"images.":[34,127],"It":[35,94],"highly":[37],"desired":[38],"to":[39,43,148],"find":[40],"way":[42],"identify":[44,149],"regions":[46],"among":[47],"input":[48,126,236],"stereo":[49],"pairs":[51],"with":[52,153,188,231],"high":[53,232],"accuracy,":[54],"particularly":[55],"remote":[57,204],"sensing":[58,205],"applications":[59],"ground":[62],"control":[63],"points":[64,121,167,191],"(GCPs)":[65],"are":[66],"not":[67],"always":[68],"available,":[69],"such":[70],"as":[71,134],"selecting":[73],"landing":[75],"zone":[76],"on":[77,124],"an":[78,139],"outer":[79],"space":[80],"planet.":[81],"In":[82,146,197],"this":[83],"paper,":[84],"framework":[86],"for":[87,118,209],"localization":[88],"developed.":[93],"strengthened":[95],"local":[97],"accuracy":[99,234],"two":[101],"aspects:":[102],"less":[103],"reprojection":[104],"error":[105,244],"and":[106,122,246],"better":[107,155,247],"feature":[108,113,120,159,166,190,250],"point":[109],"distribution.":[110],"Affine":[111],"scale-invariant":[112],"transform":[114],"(ASIFT)":[115],"was":[116,132,207],"used":[117,208],"acquiring":[119],"correspondences":[123],"Then,":[128],"homography":[130,179],"matrix":[131,180],"estimated":[133],"transformation":[136],"model":[137],"by":[138,183,238],"improved":[140],"random":[141],"sample":[142],"consensus":[143],"(IM-RANSAC)":[144],"algorithm.":[145],"order":[147],"region":[152,230],"spatial":[156],"distribution":[157,248],"points,":[160],"Euclidean":[162],"distance":[163],"between":[164,235],"applied":[169],"(named":[170],"S":[172],"criterion).":[173],"Finally,":[174],"parameters":[176],"were":[181],"optimized":[182],"Levenberg\u2013Marquardt":[185],"(LM)":[186],"algorithm":[187],"selective":[189],"chosen":[194],"region.":[196],"experiment":[199,218],"section,":[200],"Chang\u2019E-2":[202],"satellite":[203],"imagery":[206],"evaluating":[210],"performance":[212],"proposed":[215,223],"method.":[216],"The":[217],"result":[219],"demonstrates":[220],"that":[221],"method":[224],"can":[225],"automatically":[226],"locate":[227],"specific":[229],"images":[237],"achieving":[239],"lower":[240],"root":[241],"mean":[242],"square":[243],"(RMSE)":[245],"points.":[251]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":5}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
