{"id":"https://openalex.org/W2979727967","doi":"https://doi.org/10.1109/cits.2019.8862133","title":"A Fast Aerial Images Mosaic Method Based on ORB Feature and Homography Matrix","display_name":"A Fast Aerial Images Mosaic Method Based on ORB Feature and Homography Matrix","publication_year":2019,"publication_date":"2019-08-01","ids":{"openalex":"https://openalex.org/W2979727967","doi":"https://doi.org/10.1109/cits.2019.8862133","mag":"2979727967"},"language":"en","primary_location":{"id":"doi:10.1109/cits.2019.8862133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cits.2019.8862133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Computer, Information and Telecommunication Systems (CITS)","raw_type":"proceedings-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/A5113034814","display_name":"Guiqin Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guiqin YANG","raw_affiliation_strings":["School of Electronic and Information Engineering, Lanzhou JiaoTong University, Lanzhou, China","School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, China#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Lanzhou JiaoTong University, Lanzhou, China","institution_ids":["https://openalex.org/I3133134087"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, China#TAB#","institution_ids":["https://openalex.org/I3133134087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063523926","display_name":"Chang Xing","orcid":null},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing CHANG","raw_affiliation_strings":["School of Electronic and Information Engineering, Lanzhou JiaoTong University, Lanzhou, China","School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, China#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Lanzhou JiaoTong University, Lanzhou, China","institution_ids":["https://openalex.org/I3133134087"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, China#TAB#","institution_ids":["https://openalex.org/I3133134087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111966181","display_name":"Zhanjun Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanjun JIANG","raw_affiliation_strings":["School of Electronic and Information Engineering, Lanzhou JiaoTong University, Lanzhou, China","School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, China#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Lanzhou JiaoTong University, Lanzhou, China","institution_ids":["https://openalex.org/I3133134087"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, China#TAB#","institution_ids":["https://openalex.org/I3133134087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5113034814"],"corresponding_institution_ids":["https://openalex.org/I3133134087"],"apc_list":null,"apc_paid":null,"fwci":0.4049,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.65748742,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"11","issue":null,"first_page":"1","last_page":"5"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9954000115394592,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9901999831199646,"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-stitching","display_name":"Image stitching","score":0.786322832107544},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7744711637496948},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7366987466812134},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6719252467155457},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6589076519012451},{"id":"https://openalex.org/keywords/orb","display_name":"Orb (optics)","score":0.6583194732666016},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5972888469696045},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.5395627617835999},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5082995295524597},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.501678466796875},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.4677842855453491},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45543748140335083},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.42038044333457947},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4186312258243561},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.41740575432777405},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3133360743522644},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18161234259605408}],"concepts":[{"id":"https://openalex.org/C29081049","wikidata":"https://www.wikidata.org/wiki/Q1364242","display_name":"Image stitching","level":2,"score":0.786322832107544},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7744711637496948},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7366987466812134},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6719252467155457},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6589076519012451},{"id":"https://openalex.org/C108260229","wikidata":"https://www.wikidata.org/wiki/Q47023","display_name":"Orb (optics)","level":3,"score":0.6583194732666016},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5972888469696045},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.5395627617835999},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5082995295524597},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.501678466796875},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.4677842855453491},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45543748140335083},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.42038044333457947},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4186312258243561},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.41740575432777405},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3133360743522644},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18161234259605408},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cits.2019.8862133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cits.2019.8862133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Computer, Information and Telecommunication Systems (CITS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1561797649","https://openalex.org/W1847491002","https://openalex.org/W2071730188","https://openalex.org/W2071815765","https://openalex.org/W2157340531","https://openalex.org/W2323604452","https://openalex.org/W2414132554","https://openalex.org/W2554642673","https://openalex.org/W2965992805","https://openalex.org/W3203413836","https://openalex.org/W4206610958","https://openalex.org/W6668582759","https://openalex.org/W6700710550","https://openalex.org/W6730508355","https://openalex.org/W6766458473"],"related_works":["https://openalex.org/W1965745851","https://openalex.org/W2076160147","https://openalex.org/W3119342790","https://openalex.org/W2388389322","https://openalex.org/W2344562887","https://openalex.org/W2369802839","https://openalex.org/W3103148063","https://openalex.org/W2794556651","https://openalex.org/W3019765378","https://openalex.org/W2553057930"],"abstract_inverted_index":{"Image":[0],"mosaic":[1,23,88,96],"is":[2,15,51,89,155,160,172,183,201],"of":[3,9,37,67,99,109,124,196,206,209],"great":[4],"significance":[5],"for":[6,48,73,86],"the":[7,13,65,105,110,151,157,163,168,179,204],"research":[8],"computer":[10],"vision.":[11],"However,":[12],"environment":[14],"constantly":[16],"changing":[17],"over":[18],"time.":[19],"Accordingly,":[20],"its":[21,125],"image":[22,50,87,95],"also":[24],"needs":[25],"to":[26,30,52,119,174,185],"be":[27],"regularly":[28],"updated":[29],"support":[31],"various":[32],"applications,":[33],"including":[34],"comprehensive":[35],"improvement":[36],"road":[38],"environment,":[39],"resolution":[40],"enhancement":[41],"and":[42,61,70,107,117,135,162,189,212],"motion":[43],"detection.":[44],"A":[45,193],"fundamental":[46],"step":[47],"panoramic":[49,191],"register":[53],"aerial":[54,77],"images":[55,188,210],"taken":[56],"from":[57,76],"different":[58],"view":[59],"efficiently":[60],"effectively.":[62],"Aiming":[63],"at":[64],"problem":[66],"low":[68,71],"speed":[69,108],"accuracy":[72],"extracting":[74],"features":[75],"images.":[78],"An":[79],"improved":[80],"method":[81,200],"based":[82,140],"on":[83,141],"ORB":[84,121],"feature":[85,114,122,137,153,207],"proposed":[90],"in":[91,203],"this":[92,199],"paper.":[93],"This":[94],"process":[97],"consists":[98],"four":[100],"steps:":[101],"Firstly,":[102],"we":[103,131],"analyze":[104],"performance":[106],"existing":[111],"several":[112],"popular":[113],"extraction":[115,208],"algorithms":[116],"propose":[118],"use":[120],"because":[123],"more":[126],"effective":[127],"calculation":[128],"speed.":[129],"Secondly,":[130],"introduce":[132],"a":[133],"fast":[134],"robust":[136],"matching":[138,152],"strategy":[139],"descriptors":[142],"similarity":[143],"by":[144],"setting":[145],"an":[146],"appropriate":[147],"threshold.":[148],"Thirdly,":[149],"After":[150],"set":[154],"determined,":[156],"transformation":[158],"model":[159,164],"constructed":[161],"parameters":[165],"are":[166],"obtained,":[167],"progressive":[169],"LMedS&LS":[170],"algorithm":[171,182],"applied":[173],"eliminate":[175],"false":[176],"matches.":[177],"Finally,":[178],"multi-band":[180],"fusion":[181],"used":[184],"fuse":[186],"matched":[187],"realize":[190],"mosaic.":[192],"large":[194],"number":[195],"experiments":[197],"demonstrated":[198],"efficient":[202],"stages":[205],"stitching":[211],"matching.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}