{"id":"https://openalex.org/W2009729853","doi":"https://doi.org/10.1109/geoinformatics.2013.6626167","title":"UAV image mosaic based on adaptive SIFT algorithm","display_name":"UAV image mosaic based on adaptive SIFT algorithm","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2009729853","doi":"https://doi.org/10.1109/geoinformatics.2013.6626167","mag":"2009729853"},"language":"en","primary_location":{"id":"doi:10.1109/geoinformatics.2013.6626167","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2013.6626167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 21st International Conference on Geoinformatics","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/A5100961049","display_name":"Shujuan Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I143413998","display_name":"Qingdao University of Science and Technology","ror":"https://ror.org/041j8js14","country_code":"CN","type":"education","lineage":["https://openalex.org/I143413998"]},{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shujuan Sun","raw_affiliation_strings":["College of Geosciences and Technology, China University of Petroleum, Qingdao, China","Coll. of Geosci. & Technol., China Univ. of Pet., Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Geosciences and Technology, China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"Coll. of Geosci. & Technol., China Univ. of Pet., Qingdao, China","institution_ids":["https://openalex.org/I143413998"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055376526","display_name":"Zhe Zeng","orcid":"https://orcid.org/0000-0002-0528-7069"},"institutions":[{"id":"https://openalex.org/I143413998","display_name":"Qingdao University of Science and Technology","ror":"https://ror.org/041j8js14","country_code":"CN","type":"education","lineage":["https://openalex.org/I143413998"]},{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Zeng","raw_affiliation_strings":["College of Geosciences and Technology, China University of Petroleum, Qingdao, China","Coll. of Geosci. & Technol., China Univ. of Pet., Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Geosciences and Technology, China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"Coll. of Geosci. & Technol., China Univ. of Pet., Qingdao, China","institution_ids":["https://openalex.org/I143413998"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100961049"],"corresponding_institution_ids":["https://openalex.org/I143413998","https://openalex.org/I4210162190"],"apc_list":null,"apc_paid":null,"fwci":0.8165,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75613667,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5","issue":null,"first_page":"1","last_page":"6"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9991000294685364,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9873999953269958,"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/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.9030472040176392},{"id":"https://openalex.org/keywords/ransac","display_name":"RANSAC","score":0.8009541034698486},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6797724962234497},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6491106748580933},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6067010164260864},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5932196974754333},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5784112215042114},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5629410743713379},{"id":"https://openalex.org/keywords/threshold-limit-value","display_name":"Threshold limit value","score":0.5493280291557312},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.5095213055610657},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.430887371301651},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42058566212654114},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3282562494277954},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2809087038040161}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.9030472040176392},{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.8009541034698486},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6797724962234497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6491106748580933},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6067010164260864},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5932196974754333},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5784112215042114},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5629410743713379},{"id":"https://openalex.org/C64413873","wikidata":"https://www.wikidata.org/wiki/Q21005","display_name":"Threshold limit value","level":2,"score":0.5493280291557312},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.5095213055610657},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.430887371301651},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42058566212654114},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3282562494277954},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2809087038040161},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/geoinformatics.2013.6626167","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2013.6626167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 21st International Conference on Geoinformatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","score":0.550000011920929,"display_name":"No poverty"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1505641881","https://openalex.org/W2052094314","https://openalex.org/W2119605622","https://openalex.org/W2124386111","https://openalex.org/W2145022807","https://openalex.org/W2145072179","https://openalex.org/W2151103935","https://openalex.org/W2177274842","https://openalex.org/W2370499734","https://openalex.org/W2374013963","https://openalex.org/W2379153634"],"related_works":["https://openalex.org/W2912782527","https://openalex.org/W2002904063","https://openalex.org/W2559085038","https://openalex.org/W2184781617","https://openalex.org/W2724122122","https://openalex.org/W2410884360","https://openalex.org/W2032794652","https://openalex.org/W2613823046","https://openalex.org/W4251240031","https://openalex.org/W2574175918"],"abstract_inverted_index":{"UAV":[0,23],"has":[1,59],"many":[2,60],"advantages":[3],"such":[4,31],"as":[5,32,76,120],"flexibility":[6],"and":[7,9,115],"security,":[8],"is":[10,49,65,73,98,105,118],"becoming":[11],"an":[12,90,121],"important":[13],"supplementary":[14],"method":[15,92,134],"of":[16,22,63,71,84,93,111],"remote":[17],"sensing.":[18],"However,":[19],"the":[20,67,82,106,109,126,132,137,154],"instability":[21],"platforms":[24],"usually":[25,74],"results":[26,149],"in":[27,39,53],"poor":[28],"image":[29,41,54],"quality,":[30],"big":[33],"rotation":[34],"angle,":[35],"leading":[36],"to":[37,124],"difficulty":[38],"creating":[40],"mosaics":[42],"with":[43,153],"conventional":[44],"methods.":[45],"The":[46],"SIFT":[47,72,156],"algorithm":[48],"nowadays":[50],"widely":[51],"applied":[52],"mosaics,":[55],"but":[56],"it":[57],"also":[58,151],"disadvantages.":[61],"One":[62],"which":[64,80],"that":[66,131],"distance":[68,95],"ratio":[69,96,110],"threshold":[70,97,104,127],"defined":[75],"a":[77,103],"fixed":[78],"value,":[79,108],"determines":[81],"number":[83],"matching":[85,116,138],"points.":[86],"In":[87],"this":[88],"paper,":[89],"adaptive":[91,133,155],"determining":[94],"proposed.":[99],"To":[100],"determine":[101],"whether":[102],"optimum":[107],"RANSAC":[112],"optimized":[113],"points":[114,117],"used":[119],"evaluating":[122],"criterion":[123],"identify":[125],"performance.":[128],"Experiments":[129],"show":[130],"can":[135],"improve":[136],"accuracy":[139],"while":[140],"not":[141],"bringing":[142],"too":[143],"much":[144],"calculational":[145],"burden.":[146],"Image":[147],"mosaic":[148],"are":[150],"good":[152],"method.":[157]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
