{"id":"https://openalex.org/W3120706816","doi":"https://doi.org/10.3390/s21010317","title":"Imagery Network Fine Registration by Reference Point Cloud Data Based on the Tie Points and Planes","display_name":"Imagery Network Fine Registration by Reference Point Cloud Data Based on the Tie Points and Planes","publication_year":2021,"publication_date":"2021-01-05","ids":{"openalex":"https://openalex.org/W3120706816","doi":"https://doi.org/10.3390/s21010317","mag":"3120706816","pmid":"https://pubmed.ncbi.nlm.nih.gov/33466480"},"language":"en","primary_location":{"id":"doi:10.3390/s21010317","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21010317","pdf_url":"https://www.mdpi.com/1424-8220/21/1/317/pdf?version=1609901423","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/1/317/pdf?version=1609901423","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054617874","display_name":"M. Eslami","orcid":"https://orcid.org/0000-0002-4446-7361"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Mehrdad Eslami","raw_affiliation_strings":["School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran 1439957131, Iran"],"raw_orcid":"https://orcid.org/0000-0002-4446-7361","affiliations":[{"raw_affiliation_string":"School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran 1439957131, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023819067","display_name":"M. Saadatseresht","orcid":"https://orcid.org/0000-0002-7918-3166"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Saadatseresht","raw_affiliation_strings":["School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran 1439957131, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran 1439957131, Iran","institution_ids":["https://openalex.org/I23946033"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054617874"],"corresponding_institution_ids":["https://openalex.org/I23946033"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.9153,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.69687812,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"21","issue":"1","first_page":"317","last_page":"317"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998000264167786,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9998000264167786,"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8575091361999512},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5358269214630127},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5055685043334961},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5022926330566406},{"id":"https://openalex.org/keywords/collinearity","display_name":"Collinearity","score":0.49416616559028625},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48804226517677307},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.47820258140563965},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4742904305458069},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.44456028938293457},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.42970559000968933},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34981098771095276},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.2778345048427582}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8575091361999512},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5358269214630127},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5055685043334961},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5022926330566406},{"id":"https://openalex.org/C106192678","wikidata":"https://www.wikidata.org/wiki/Q1419761","display_name":"Collinearity","level":2,"score":0.49416616559028625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48804226517677307},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.47820258140563965},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4742904305458069},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.44456028938293457},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.42970559000968933},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34981098771095276},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.2778345048427582},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3390/s21010317","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21010317","pdf_url":"https://www.mdpi.com/1424-8220/21/1/317/pdf?version=1609901423","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:33466480","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33466480","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:a8b722a6f4084b60ace13fa77ddeee11","is_oa":true,"landing_page_url":"https://doaj.org/article/a8b722a6f4084b60ace13fa77ddeee11","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 21, Iss 1, p 317 (2021)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:6705948","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC7796443","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/1/317/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21010317","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":"Sensors; Volume 21; Issue 1; Pages: 317","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7796443","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7796443","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21010317","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21010317","pdf_url":"https://www.mdpi.com/1424-8220/21/1/317/pdf?version=1609901423","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3120706816.pdf"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W147748828","https://openalex.org/W251226058","https://openalex.org/W1874027545","https://openalex.org/W1883517952","https://openalex.org/W2026247669","https://openalex.org/W2026932150","https://openalex.org/W2036094175","https://openalex.org/W2043962946","https://openalex.org/W2046686763","https://openalex.org/W2050035594","https://openalex.org/W2052383941","https://openalex.org/W2058943725","https://openalex.org/W2077116147","https://openalex.org/W2081697131","https://openalex.org/W2109198903","https://openalex.org/W2130515964","https://openalex.org/W2151103935","https://openalex.org/W2217105717","https://openalex.org/W2217308004","https://openalex.org/W2335639764","https://openalex.org/W2336549754","https://openalex.org/W2418780032","https://openalex.org/W2461771227","https://openalex.org/W2569826544","https://openalex.org/W2571552773","https://openalex.org/W2605212484","https://openalex.org/W2708991589","https://openalex.org/W2759787384","https://openalex.org/W2777541999","https://openalex.org/W2806807008","https://openalex.org/W2807072713","https://openalex.org/W2807839383","https://openalex.org/W2888354467","https://openalex.org/W2904266989","https://openalex.org/W2924881791","https://openalex.org/W2947682580","https://openalex.org/W3045394871","https://openalex.org/W3117295288","https://openalex.org/W6661922747","https://openalex.org/W6731446136"],"related_works":["https://openalex.org/W3137866197","https://openalex.org/W2989490741","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3092506759","https://openalex.org/W138569904","https://openalex.org/W3010890513","https://openalex.org/W2390914021","https://openalex.org/W2741749319"],"abstract_inverted_index":{"Cameras":[0],"and":[1,13,23,38,46,79,94,168,193],"laser":[2],"scanners":[3],"are":[4,51,58,82,98,124,129,172],"complementary":[5],"tools":[6],"for":[7,36],"a":[8,30,141],"2D/3D":[9],"information":[10],"generation.":[11],"Systematic":[12],"random":[14],"errors":[15,185],"cause":[16],"the":[17,20,54,61,66,75,106,110,114,119,137,146,160,176,191,196],"misalignment":[18],"of":[19,113,136,195],"multi-sensor":[21],"imagery":[22,37],"point":[24,39,115,153,161],"cloud":[25,40,116,162],"data.":[26],"In":[27],"this":[28],"paper,":[29],"novel":[31],"feature-based":[32],"approach":[33],"is":[34,72,154],"proposed":[35,177,197],"fine":[41],"registration.":[42],"The":[43],"tie":[44,68,77,102,121,152],"points":[45,78,104,112,123,128],"its":[47],"two":[48],"neighbor":[49],"pixels":[50,184],"matched":[52],"in":[53,60],"overlap":[55],"images,":[56],"which":[57],"intersected":[59],"object":[62,107,150],"space":[63,151],"to":[64,74,100,105,118,131,156,174],"create":[65],"differential":[67,138,163],"plane.":[69,164],"A":[70],"preprocessing":[71],"applied":[73],"corresponding":[76],"non-robust":[80],"ones":[81],"removed.":[83],"Initial":[84],"coarse":[85],"Exterior":[86],"Orientation":[87,91],"Parameters":[88,92,96],"(EOPs),":[89],"Interior":[90],"(IOPs),":[93],"Additional":[95],"(APs)":[97],"used":[99,130,173],"transform":[101],"plane":[103,122],"space.":[108],"Then,":[109],"nearest":[111],"data":[117,171],"transformed":[120],"estimated.":[125],"These":[126],"estimated":[127],"calculate":[132],"Directional":[133],"Vectors":[134],"(DV)":[135],"planes.":[139],"As":[140],"constraint":[142],"equation":[143],"along":[144],"with":[145],"collinearity":[147],"equation,":[148],"each":[149],"forced":[155],"be":[157],"located":[158],"on":[159,186],"Two":[165],"different":[166],"indoor":[167],"outdoor":[169],"experimental":[170],"assess":[175],"approach.":[178,198],"Achieved":[179],"results":[180,189],"show":[181],"about":[182],"2.5":[183],"checkpoints.":[187],"Such":[188],"demonstrated":[190],"robustness":[192],"practicality":[194]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}