{"id":"https://openalex.org/W2962708399","doi":"https://doi.org/10.3390/rs11141727","title":"Automatic Building Outline Extraction from ALS Point Clouds by Ordered Points Aided Hough Transform","display_name":"Automatic Building Outline Extraction from ALS Point Clouds by Ordered Points Aided Hough Transform","publication_year":2019,"publication_date":"2019-07-21","ids":{"openalex":"https://openalex.org/W2962708399","doi":"https://doi.org/10.3390/rs11141727","mag":"2962708399"},"language":"en","primary_location":{"id":"doi:10.3390/rs11141727","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11141727","pdf_url":"https://www.mdpi.com/2072-4292/11/14/1727/pdf?version=1563869718","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/2072-4292/11/14/1727/pdf?version=1563869718","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049371687","display_name":"E. Widyaningrum","orcid":"https://orcid.org/0000-0002-1563-9996"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]},{"id":"https://openalex.org/I2802461946","display_name":"Meteorological, Climatological, And Geophysical Agency","ror":"https://ror.org/043xhrz72","country_code":"ID","type":"government","lineage":["https://openalex.org/I2802461946"]}],"countries":["ID","NL"],"is_corresponding":true,"raw_author_name":"Elyta Widyaningrum","raw_affiliation_strings":["Department of Geoscience and Remote Sensing, Delft University of Technology, 2628CN Delft, The Netherlands","Geospatial Information Agency, Cibinong, Bogor 16911, Indonesia"],"affiliations":[{"raw_affiliation_string":"Department of Geoscience and Remote Sensing, Delft University of Technology, 2628CN Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]},{"raw_affiliation_string":"Geospatial Information Agency, Cibinong, Bogor 16911, Indonesia","institution_ids":["https://openalex.org/I2802461946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078630459","display_name":"Ben Gorte","orcid":"https://orcid.org/0000-0001-8953-6394"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ben Gorte","raw_affiliation_strings":["GRID\u2013UNSW Built Environment, Sydney, NSW 2052, Australia"],"affiliations":[{"raw_affiliation_string":"GRID\u2013UNSW Built Environment, Sydney, NSW 2052, Australia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059928575","display_name":"Roderik Lindenbergh","orcid":"https://orcid.org/0000-0001-8655-5266"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Roderik Lindenbergh","raw_affiliation_strings":["Department of Geoscience and Remote Sensing, Delft University of Technology, 2628CN Delft, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Geoscience and Remote Sensing, Delft University of Technology, 2628CN Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049371687"],"corresponding_institution_ids":["https://openalex.org/I2802461946","https://openalex.org/I98358874"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.9415,"has_fulltext":true,"cited_by_count":42,"citation_normalized_percentile":{"value":0.83947525,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"11","issue":"14","first_page":"1727","last_page":"1727"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9995999932289124,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9995999932289124,"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/hough-transform","display_name":"Hough transform","score":0.8868524432182312},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7093582153320312},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6885520815849304},{"id":"https://openalex.org/keywords/line-segment","display_name":"Line segment","score":0.5203025937080383},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.5122351050376892},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.48487386107444763},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.4672068953514099},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.41144245862960815},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39372530579566956},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3487972021102905},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3278939723968506},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28668034076690674},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.2108059525489807},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20926854014396667},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17504075169563293}],"concepts":[{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.8868524432182312},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7093582153320312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6885520815849304},{"id":"https://openalex.org/C182124507","wikidata":"https://www.wikidata.org/wiki/Q166154","display_name":"Line segment","level":2,"score":0.5203025937080383},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.5122351050376892},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.48487386107444763},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.4672068953514099},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.41144245862960815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39372530579566956},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3487972021102905},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3278939723968506},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28668034076690674},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.2108059525489807},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20926854014396667},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17504075169563293}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/rs11141727","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11141727","pdf_url":"https://www.mdpi.com/2072-4292/11/14/1727/pdf?version=1563869718","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:ea438c6fe61642cca81fe0a0a3e23c64","is_oa":true,"landing_page_url":"https://doaj.org/article/ea438c6fe61642cca81fe0a0a3e23c64","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 11, Iss 14, p 1727 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/11/14/1727/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs11141727","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 11; Issue 14; Pages: 1727","raw_type":"Text"},{"id":"pmh:oai:tudelft.nl:uuid:6dc9e964-4e9b-4119-87c6-50f36d2f9329","is_oa":false,"landing_page_url":"http://resolver.tudelft.nl/uuid:6dc9e964-4e9b-4119-87c6-50f36d2f9329","pdf_url":null,"source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"journal article"}],"best_oa_location":{"id":"doi:10.3390/rs11141727","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11141727","pdf_url":"https://www.mdpi.com/2072-4292/11/14/1727/pdf?version=1563869718","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":[{"score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321012","display_name":"Technische Universiteit Delft","ror":"https://ror.org/02e2c7k09"},{"id":"https://openalex.org/F4320328515","display_name":"Lembaga Pengelola Dana Pendidikan","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2962708399.pdf","grobid_xml":"https://content.openalex.org/works/W2962708399.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W84227776","https://openalex.org/W967168902","https://openalex.org/W1539790486","https://openalex.org/W1574059304","https://openalex.org/W1673310716","https://openalex.org/W1910619957","https://openalex.org/W1979960881","https://openalex.org/W1995376165","https://openalex.org/W2000445943","https://openalex.org/W2029625183","https://openalex.org/W2029895480","https://openalex.org/W2035544613","https://openalex.org/W2053395988","https://openalex.org/W2055569426","https://openalex.org/W2068083483","https://openalex.org/W2073699178","https://openalex.org/W2093871241","https://openalex.org/W2095905764","https://openalex.org/W2109606373","https://openalex.org/W2117309399","https://openalex.org/W2136651098","https://openalex.org/W2153661279","https://openalex.org/W2164976328","https://openalex.org/W2260806982","https://openalex.org/W2297690403","https://openalex.org/W2299098318","https://openalex.org/W2300635092","https://openalex.org/W2300687442","https://openalex.org/W2305394302","https://openalex.org/W2496759915","https://openalex.org/W2502436521","https://openalex.org/W2560622558","https://openalex.org/W2593473872","https://openalex.org/W2736317099","https://openalex.org/W2754896757","https://openalex.org/W2783877714","https://openalex.org/W2803750207","https://openalex.org/W2883254424","https://openalex.org/W2884154111","https://openalex.org/W2890072312","https://openalex.org/W2898111131","https://openalex.org/W2905476808","https://openalex.org/W2943352701","https://openalex.org/W3103868522","https://openalex.org/W3105688002","https://openalex.org/W4235389490","https://openalex.org/W6603383834","https://openalex.org/W6677467446","https://openalex.org/W6728516775"],"related_works":["https://openalex.org/W2133640447","https://openalex.org/W2125790330","https://openalex.org/W2100522530","https://openalex.org/W1970655187","https://openalex.org/W581142974","https://openalex.org/W2349439813","https://openalex.org/W1920486319","https://openalex.org/W2093427527","https://openalex.org/W3180429661","https://openalex.org/W2376883242"],"abstract_inverted_index":{"Many":[0],"urban":[1],"applications":[2],"require":[3],"building":[4,55,73,111,140,155,237],"polygons":[5],"as":[6],"input.":[7],"However,":[8],"manual":[9],"extraction":[10],"from":[11,39,75],"point":[12,46,79],"cloud":[13],"data":[14],"is":[15,21,49,86,106,190,196,239],"time-":[16],"and":[17,118,129,175,209,224,226],"labor-intensive.":[18],"Hough":[19,66,83,193],"transform":[20],"a":[22,62,82,90,115,274],"well-known":[23],"procedure":[24],"to":[25,35,60,108,121],"extract":[26,37],"line":[27,95,124,147],"features.":[28],"Unfortunately,":[29],"current":[30],"Hough-based":[31],"approaches":[32],"lack":[33],"flexibility":[34],"effectively":[36],"outlines":[38,74],"arbitrary":[40,150,210,281],"buildings.":[41],"We":[42,113,158],"found":[43],"that":[44,195,216],"available":[45],"order":[47],"information":[48],"actually":[50],"never":[51],"used.":[52],"Using":[53],"ordered":[54,64,130,139],"edge":[56,141],"points":[57,142],"allows":[58],"us":[59],"present":[61],"novel":[63],"points\u2013aided":[65],"Transform":[67],"(OHT)":[68],"for":[69,202,248,262],"extracting":[70],"high":[71,220],"quality":[72,245,275],"an":[76],"airborne":[77],"LiDAR":[78],"cloud.":[80],"First,":[81],"accumulator":[84],"matrix":[85,136],"constructed":[87],"based":[88,125],"on":[89,126,162,285],"voting":[91],"scheme":[92],"in":[93,103,153,172,179,293],"parametric":[94],"space":[96],"(\u03b8,":[97],"r).":[98],"The":[99,213,232,244],"variance":[100],"of":[101,138,146,149,166,185,206,235,256,277],"angles":[102],"each":[104],"column":[105],"used":[107],"determine":[109],"dominant":[110],"directions.":[112],"propose":[114],"hierarchical":[116],"filtering":[117],"clustering":[119],"approach":[120],"obtain":[122],"accurate":[123],"detected":[127],"hotspots":[128],"points.":[131],"An":[132],"Ordered":[133],"Point":[134],"List":[135],"consisting":[137],"enables":[143],"the":[144,183,191,236,249,257,263,286,290],"detection":[145],"segments":[148],"direction,":[151],"resulting":[152],"high-quality":[154],"roof":[156],"polygons.":[157],"tested":[159],"our":[160,186,188,217],"method":[161,194,218],"three":[163],"different":[164,167,207],"datasets":[165,178],"characteristics:":[168],"one":[169],"new":[170],"dataset":[171,266],"Makassar,":[173],"Indonesia,":[174],"two":[176],"benchmark":[177,251],"Vaihingen,":[180],"Germany.":[181],"To":[182],"best":[184],"knowledge,":[187],"algorithm":[189],"first":[192],"highly":[197],"adaptable":[198],"since":[199],"it":[200],"works":[201],"buildings":[203,288],"with":[204,280],"edges":[205],"lengths":[208],"relative":[211],"orientations.":[212],"results":[214],"prove":[215],"delivers":[219],"completeness":[221],"(between":[222],"90.1%":[223],"96.4%)":[225],"correctness":[227],"percentages":[228],"(all":[229],"over":[230],"96%).":[231],"positional":[233],"accuracy":[234],"corners":[238],"between":[240],"0.2\u20130.57":[241],"m":[242],"RMSE.":[243],"rate":[246],"(89.6%)":[247],"Vaihingen-B":[250],"outperforms":[252],"all":[253],"existing":[254],"state":[255],"art":[258],"methods.":[259],"Other":[260],"solutions":[261],"challenging":[264],"Vaihingen-A":[265],"are":[267,283],"not":[268],"yet":[269],"available,":[270],"while":[271],"we":[272],"achieve":[273],"score":[276],"93.2%.":[278],"Results":[279],"directions":[282],"demonstrated":[284],"complex":[287],"around":[289],"EYE":[291],"museum":[292],"Amsterdam.":[294]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2019-07-30T00:00:00"}
