{"id":"https://openalex.org/W4303980656","doi":"https://doi.org/10.3390/rs14194917","title":"An Improved RANSAC Outlier Rejection Method for UAV-Derived Point Cloud","display_name":"An Improved RANSAC Outlier Rejection Method for UAV-Derived Point Cloud","publication_year":2022,"publication_date":"2022-10-01","ids":{"openalex":"https://openalex.org/W4303980656","doi":"https://doi.org/10.3390/rs14194917"},"language":"en","primary_location":{"id":"doi:10.3390/rs14194917","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14194917","pdf_url":"https://www.mdpi.com/2072-4292/14/19/4917/pdf?version=1665484039","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/2072-4292/14/19/4917/pdf?version=1665484039","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038657698","display_name":"Bahram Salehi","orcid":"https://orcid.org/0000-0002-7742-5475"},"institutions":[{"id":"https://openalex.org/I1327163397","display_name":"State University of New York","ror":"https://ror.org/01q1z8k08","country_code":"US","type":"education","lineage":["https://openalex.org/I1327163397"]},{"id":"https://openalex.org/I157349981","display_name":"SUNY College of Environmental Science and Forestry","ror":"https://ror.org/00qv0tw17","country_code":"US","type":"education","lineage":["https://openalex.org/I157349981"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bahram Salehi","raw_affiliation_strings":["Department of Environmental Resources Engineering, College of Environmental Science and Forestry, State University of New York, Syracuse, NY 13210, USA"],"affiliations":[{"raw_affiliation_string":"Department of Environmental Resources Engineering, College of Environmental Science and Forestry, State University of New York, Syracuse, NY 13210, USA","institution_ids":["https://openalex.org/I157349981","https://openalex.org/I1327163397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081697361","display_name":"Sina Jarahizadeh","orcid":"https://orcid.org/0000-0002-0408-1528"},"institutions":[{"id":"https://openalex.org/I1327163397","display_name":"State University of New York","ror":"https://ror.org/01q1z8k08","country_code":"US","type":"education","lineage":["https://openalex.org/I1327163397"]},{"id":"https://openalex.org/I157349981","display_name":"SUNY College of Environmental Science and Forestry","ror":"https://ror.org/00qv0tw17","country_code":"US","type":"education","lineage":["https://openalex.org/I157349981"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sina Jarahizadeh","raw_affiliation_strings":["Department of Environmental Resources Engineering, College of Environmental Science and Forestry, State University of New York, Syracuse, NY 13210, USA"],"affiliations":[{"raw_affiliation_string":"Department of Environmental Resources Engineering, College of Environmental Science and Forestry, State University of New York, Syracuse, NY 13210, USA","institution_ids":["https://openalex.org/I157349981","https://openalex.org/I1327163397"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090842331","display_name":"Amin Sarafraz","orcid":null},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amin Sarafraz","raw_affiliation_strings":["Department of Civil and Architectural Engineering, University of Miami\u2019s Institute for Data Science & Computing, Coral Gables, FL 33146, USA","Department of Civil and Architectural Engineering, University of Miami's Institute for Data Science & Computing, Coral Gables, FL 33146, USA"],"affiliations":[{"raw_affiliation_string":"Department of Civil and Architectural Engineering, University of Miami\u2019s Institute for Data Science & Computing, Coral Gables, FL 33146, USA","institution_ids":["https://openalex.org/I145608581"]},{"raw_affiliation_string":"Department of Civil and Architectural Engineering, University of Miami's Institute for Data Science & Computing, Coral Gables, FL 33146, USA","institution_ids":["https://openalex.org/I145608581"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081697361"],"corresponding_institution_ids":["https://openalex.org/I1327163397","https://openalex.org/I157349981"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":16.5707,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.98703444,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"14","issue":"19","first_page":"4917","last_page":"4917"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9995999932289124,"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":0.9995999932289124,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9972000122070312,"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/ransac","display_name":"RANSAC","score":0.9943629503250122},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7897193431854248},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6523484587669373},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5382174849510193},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.4847874045372009},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4358508586883545},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4319372773170471},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38829588890075684},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3461623787879944},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33716797828674316},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3229466378688812},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24788448214530945},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22313064336776733}],"concepts":[{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.9943629503250122},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7897193431854248},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6523484587669373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5382174849510193},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.4847874045372009},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4358508586883545},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4319372773170471},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38829588890075684},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3461623787879944},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33716797828674316},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3229466378688812},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24788448214530945},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22313064336776733}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14194917","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14194917","pdf_url":"https://www.mdpi.com/2072-4292/14/19/4917/pdf?version=1665484039","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:f08d18ed597f4d9687cc0e72db964a95","is_oa":true,"landing_page_url":"https://doaj.org/article/f08d18ed597f4d9687cc0e72db964a95","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 19, p 4917 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/19/4917/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14194917","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 14; Issue 19; Pages: 4917","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14194917","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14194917","pdf_url":"https://www.mdpi.com/2072-4292/14/19/4917/pdf?version=1665484039","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":[{"id":"https://metadata.un.org/sdg/15","score":0.46000000834465027,"display_name":"Life in Land"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306114","display_name":"U.S. Department of Agriculture","ror":"https://ror.org/01na82s61"},{"id":"https://openalex.org/F4320332299","display_name":"National Institute of Food and Agriculture","ror":"https://ror.org/05qx3fv49"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4303980656.pdf","grobid_xml":"https://content.openalex.org/works/W4303980656.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W30756488","https://openalex.org/W1533955188","https://openalex.org/W1575387439","https://openalex.org/W1987518736","https://openalex.org/W1993352646","https://openalex.org/W2005750530","https://openalex.org/W2046434485","https://openalex.org/W2057749491","https://openalex.org/W2085261163","https://openalex.org/W2099927035","https://openalex.org/W2102481828","https://openalex.org/W2106199912","https://openalex.org/W2111073598","https://openalex.org/W2113988548","https://openalex.org/W2114274324","https://openalex.org/W2124160566","https://openalex.org/W2130017587","https://openalex.org/W2131360424","https://openalex.org/W2141809487","https://openalex.org/W2162137128","https://openalex.org/W2168104347","https://openalex.org/W2186412602","https://openalex.org/W2242754697","https://openalex.org/W2774454481","https://openalex.org/W2774833978","https://openalex.org/W2803083418","https://openalex.org/W2894971516","https://openalex.org/W2962828767","https://openalex.org/W2967640080","https://openalex.org/W2967756832","https://openalex.org/W2980464829","https://openalex.org/W2982933447","https://openalex.org/W2992952868","https://openalex.org/W2999010623","https://openalex.org/W3001996678","https://openalex.org/W3010242131","https://openalex.org/W3011736309","https://openalex.org/W3024287916","https://openalex.org/W3025867857","https://openalex.org/W3035563186","https://openalex.org/W3092233714","https://openalex.org/W3103320289","https://openalex.org/W3118805891","https://openalex.org/W3118979721","https://openalex.org/W3123582872","https://openalex.org/W3123951483","https://openalex.org/W3166355207","https://openalex.org/W3195869412","https://openalex.org/W4200288975","https://openalex.org/W4205172069","https://openalex.org/W4220775203","https://openalex.org/W4224238020","https://openalex.org/W4229995443","https://openalex.org/W4281715167","https://openalex.org/W4290052380","https://openalex.org/W6601265213","https://openalex.org/W6647461697","https://openalex.org/W6651868023","https://openalex.org/W6690577104","https://openalex.org/W6773556911","https://openalex.org/W6878092717"],"related_works":["https://openalex.org/W2131378265","https://openalex.org/W2984240274","https://openalex.org/W3107042705","https://openalex.org/W2952608057","https://openalex.org/W2769402452","https://openalex.org/W2091258128","https://openalex.org/W4385261474","https://openalex.org/W3171899115","https://openalex.org/W1983540692","https://openalex.org/W3126266918"],"abstract_inverted_index":{"A":[0],"common":[1],"problem":[2],"with":[3,254,272],"matching":[4,298,334,357],"algorithms,":[5,33],"in":[6,25,68,127,159],"photogrammetry":[7],"and":[8,77,94,138,152,168,180,194,258,279,308,328,341],"computer":[9,227],"vision,":[10],"is":[11],"the":[12,35,48,86,90,98,136,156,165,171,188,191,196,225,233,355],"imperfection":[13],"of":[14,50,63,75,92,97,107,140,173,190,198,305,344],"finding":[15],"all":[16],"correct":[17],"corresponding":[18],"points,":[19,29],"so-called":[20,30],"inliers,":[21,70],"and,":[22,65,299],"thus,":[23],"resulting":[24,67],"incorrect":[26,95],"or":[27,126,316],"mismatched":[28],"outliers.":[31,51],"Many":[32],"including":[34],"well-known":[36],"randomized":[37],"random":[38,87],"sample":[39],"consensus":[40],"(RANSAC)-based":[41],"matching,":[42],"have":[43,55,237],"been":[44,216,238],"developed":[45],"focusing":[46],"on":[47,155,218,231,348],"reduction":[49],"RANSAC-based":[52,108,235],"methods,":[53,109],"however,":[54],"limitations":[56],"such":[57,323],"as":[58,324],"increased":[59],"false":[60],"positive":[61],"rates":[62,283],"outliers,":[64],"consequently":[66,169],"fewer":[69],"an":[71,293],"unnecessary":[72],"high":[73,78,307],"number":[74,139,172],"iterations,":[76],"computational":[79,277],"time.":[80],"Such":[81],"deficiencies":[82],"possibly":[83],"result":[84],"from":[85],"sampling":[88],"process,":[89],"presence":[91],"noise,":[93],"assumptions":[96],"initial":[99],"values.":[100],"This":[101,290],"paper":[102],"proposes":[103],"a":[104,176,201,211,248,251,273],"modified":[105],"version":[106],"called":[110],"Empowered":[111],"Locally":[112,144],"Iterative":[113,145],"SAmple":[114,287],"Consensus":[115,288],"(ELISAC).":[116],"ELISAC":[117,268,292,351],"improves":[118],"RANSAC":[119],"by":[120,247,313],"utilizing":[121],"three":[122,130],"basic":[123],"modifications":[124,131],"individually":[125],"combination.":[128],"These":[129],"are":[132,336],"(a)":[133],"to":[134,163,182,206,262,285,339],"increase":[135,195],"stability":[137],"inliers":[141,158,271],"using":[142,175,200],"two":[143,219],"Least":[146],"Squares":[147],"(LILS)":[148],"loops":[149],"(Basic":[150],"LILS":[151],"Aggregated-LILS),":[153],"based":[154],"new":[157],"each":[160],"loop,":[161],"(b)":[162],"improve":[164],"convergence":[166],"rate":[167],"reduce":[170],"iterations":[174],"similarity":[177,343],"termination":[178],"criterion,":[179],"(c)":[181],"remove":[183],"any":[184],"possible":[185],"outliers":[186],"at":[187],"end":[189],"processing":[192],"loop":[193],"reliability":[197],"results":[199,265],"post-processing":[202],"procedure.":[203],"In":[204,319],"order":[205],"validate":[207],"our":[208],"proposed":[209],"method,":[210],"comprehensive":[212],"experimental":[213],"analysis":[214],"has":[215],"done":[217],"datasets.":[220],"The":[221,240,264],"first":[222],"dataset":[223,242],"contains":[224],"commonly-used":[226],"vision":[228],"image":[229,243,297,349],"pairs":[230,244],"which":[232],"state-of-the-art":[234],"methods":[236],"evaluated.":[239],"second":[241],"were":[245],"captured":[246],"drone":[249],"over":[250],"forested":[252],"area":[253],"various":[255],"rotations,":[256],"scales,":[257],"baselines":[259],"(from":[260],"short":[261],"wide).":[263],"show":[266],"that":[267],"finds":[269],"more":[270],"faster":[274],"speed":[275],"(lower":[276],"time)":[278],"lower":[280],"error":[281],"(outlier)":[282],"compared":[284],"M-estimator":[286],"(MSAC).":[289],"makes":[291],"effective":[294],"approach":[295],"for":[296,301,321],"consequently,":[300],"3D":[302,326],"information":[303],"extraction":[304],"very":[306],"super":[309],"high-resolution":[310],"imagery":[311],"acquired":[312],"space-borne,":[314],"airborne,":[315],"UAV":[317],"sensors.":[318],"particular,":[320],"applications":[322],"forest":[325],"modeling":[327],"tree":[329],"height":[330],"estimations":[331],"where":[332],"standard":[333,356],"algorithms":[335],"problematic":[337],"due":[338],"spectral":[340],"textural":[342],"objects":[345],"(e.g.,":[346],"trees)":[347],"pairs,":[350],"can":[352],"significantly":[353],"outperform":[354],"algorithms.":[358]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-12T07:58:50.170612","created_date":"2022-10-10T00:00:00"}
