{"id":"https://openalex.org/W1981925865","doi":"https://doi.org/10.1109/igarss.2014.6946895","title":"Change detection from differential airborne LiDAR using a weighted anisotropic iterative closest point algorithm","display_name":"Change detection from differential airborne LiDAR using a weighted anisotropic iterative closest point algorithm","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W1981925865","doi":"https://doi.org/10.1109/igarss.2014.6946895","mag":"1981925865"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2014.6946895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2014.6946895","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Geoscience and Remote Sensing Symposium","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/A5100320850","display_name":"Xiao Zhang","orcid":"https://orcid.org/0000-0001-8346-7180"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiao Zhang","raw_affiliation_strings":["University of Houston","[Univ. of Houston]"],"affiliations":[{"raw_affiliation_string":"University of Houston","institution_ids":["https://openalex.org/I44461941"]},{"raw_affiliation_string":"[Univ. of Houston]","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034472952","display_name":"Craig Glennie","orcid":"https://orcid.org/0000-0003-1570-0889"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Craig Glennie","raw_affiliation_strings":["University of Houston","[Univ. of Houston]"],"affiliations":[{"raw_affiliation_string":"University of Houston","institution_ids":["https://openalex.org/I44461941"]},{"raw_affiliation_string":"[Univ. of Houston]","institution_ids":["https://openalex.org/I44461941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100320850"],"corresponding_institution_ids":["https://openalex.org/I44461941"],"apc_list":null,"apc_paid":null,"fwci":4.2414,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.9452575,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"2162","last_page":"2165"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9993000030517578,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.98580002784729,"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/lidar","display_name":"Lidar","score":0.9198204278945923},{"id":"https://openalex.org/keywords/iterative-closest-point","display_name":"Iterative closest point","score":0.818608283996582},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6557864546775818},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5750513672828674},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.5310478806495667},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.47100889682769775},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40179234743118286},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.3493480682373047},{"id":"https://openalex.org/keywords/geodesy","display_name":"Geodesy","score":0.3219790458679199},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17335322499275208}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.9198204278945923},{"id":"https://openalex.org/C195958017","wikidata":"https://www.wikidata.org/wiki/Q1675268","display_name":"Iterative closest point","level":3,"score":0.818608283996582},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6557864546775818},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5750513672828674},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.5310478806495667},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.47100889682769775},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40179234743118286},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3493480682373047},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.3219790458679199},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17335322499275208}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2014.6946895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2014.6946895","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1593822959","https://openalex.org/W1993118912","https://openalex.org/W2015901765","https://openalex.org/W2020617337","https://openalex.org/W2049981393","https://openalex.org/W2093814105","https://openalex.org/W2097111788","https://openalex.org/W2100816864","https://openalex.org/W2119851068","https://openalex.org/W2125649293","https://openalex.org/W2141092327","https://openalex.org/W2147545414","https://openalex.org/W2168839937","https://openalex.org/W2991554931","https://openalex.org/W6645989655","https://openalex.org/W6648626037","https://openalex.org/W6655654642","https://openalex.org/W6674408070"],"related_works":["https://openalex.org/W2594043982","https://openalex.org/W3036493597","https://openalex.org/W4293094720","https://openalex.org/W2739701376","https://openalex.org/W2813834476","https://openalex.org/W3016861202","https://openalex.org/W2196111060","https://openalex.org/W2807666361","https://openalex.org/W4213431252","https://openalex.org/W4306760020"],"abstract_inverted_index":{"Differential":[0],"LiDAR":[1,55,80,100,138,165,180],"(Light":[2],"Detection":[3],"and":[4,27,35,67,104,117,145,183,205,218,237,256],"Ranging)":[5],"from":[6,54],"repeated":[7],"surveys":[8],"has":[9],"recently":[10],"emerged":[11],"as":[12,24,111,150],"an":[13,193],"effective":[14],"tool":[15],"to":[16,122,131,170,249],"measure":[17],"three-dimensional":[18],"(3D)":[19],"change":[20,53],"for":[21,50,98,136,175,228,264],"applications,":[22],"such":[23,110],"quantifying":[25],"slip":[26,225],"spatially":[28],"distributed":[29],"warping":[30],"associated":[31],"with":[32,210],"earthquake":[33],"ruptures,":[34,255],"examining":[36],"the":[37,47,58,61,83,96,133,141,154,229,242,252,265],"spatial":[38,125],"distribution":[39],"of":[40,60,115,261],"beach":[41],"erosion":[42],"after":[43],"hurricane":[44],"impact.":[45],"Currently,":[46],"primary":[48],"method":[49,169],"determining":[51],"3D":[52,186],"is":[56,92,102,226,247],"through":[57],"use":[59,146],"iterative":[62],"closest":[63],"point":[64,85,101,143,177,181,190,208],"(ICP)":[65],"algorithm":[66,200],"its":[68],"variants.":[69],"However,":[70],"all":[71,79],"current":[72],"studies":[73],"using":[74,192,235],"ICP":[75,155,196,221],"have":[76,87],"assumed":[77],"that":[78,95],"points":[81],"in":[82,140,153,178],"compared":[84],"clouds":[86,191,209],"uniform":[88,216],"accuracy.":[89,120],"This":[90],"assumption":[91],"simplistic":[93],"given":[94],"error":[97,135,148,167,174],"each":[99,176],"variable,":[103],"dependent":[105],"upon":[106],"time":[107],"varying":[108],"factors":[109],"target":[112],"range,":[113],"angle":[114],"incidence,":[116],"aircraft":[118],"trajectory":[119],"Therefore,":[121],"rigorously":[123],"determine":[124,185],"change,":[126],"it":[127],"would":[128],"be":[129],"ideal":[130],"model":[132],"random":[134,173],"every":[137],"observation":[139,166],"differential":[142],"cloud,":[144,182],"these":[147],"estimates":[149],"apriori":[151],"weights":[152],"algorithm.":[156,198,222],"To":[157],"test":[158],"this":[159],"approach,":[160],"we":[161],"implemented":[162],"a":[163,179,215,258],"rigorous":[164],"propagation":[168],"generate":[171],"estimated":[172,227],"then":[184],"displacements":[187],"between":[188,214],"two":[189],"anisotropic":[194],"weighted":[195,220],"(A-ICP)":[197],"The":[199],"was":[201],"evaluated":[202],"by":[203],"qualitatively":[204],"quantitatively":[206],"comparing":[207],"synthetic":[211,253],"fault":[212],"ruptures":[213],"weight":[217],"anistropically":[219],"Then":[223],"post-earthquake":[224],"2010":[230],"El":[231],"Mayor-Cucapah":[232],"Earthquake":[233],"(EMC),":[234],"pre-":[236],"post-event":[238],"LiDAR.":[239],"Based":[240],"on":[241],"analysis,":[243],"Moving":[244],"Window":[245],"A-ICP":[246],"able":[248],"better":[250],"estimate":[251,260],"surface":[254],"provides":[257],"smoother":[259],"actual":[262],"displacement":[263],"EMC":[266],"earthquake.":[267]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}