{"id":"https://openalex.org/W2612768985","doi":"https://doi.org/10.1109/jurse.2017.7924576","title":"An efficient approach for image-DSM co-registration for urban building extraction","display_name":"An efficient approach for image-DSM co-registration for urban building extraction","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2612768985","doi":"https://doi.org/10.1109/jurse.2017.7924576","mag":"2612768985"},"language":"en","primary_location":{"id":"doi:10.1109/jurse.2017.7924576","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jurse.2017.7924576","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Joint Urban Remote Sensing Event (JURSE)","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/A5005918275","display_name":"Alaeldin Suliman","orcid":"https://orcid.org/0000-0001-9534-3564"},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Alaeldin Suliman","raw_affiliation_strings":["University of New Brunswick, Fredericton, NB, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New Brunswick, Fredericton, NB, CA","institution_ids":["https://openalex.org/I106938459"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100356784","display_name":"Yun Zhang","orcid":"https://orcid.org/0000-0001-9231-0142"},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yun Zhang","raw_affiliation_strings":["Department of Geodesy and Geomatics Engineering, University of New Brunswick, Fredericton, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geodesy and Geomatics Engineering, University of New Brunswick, Fredericton, Canada","institution_ids":["https://openalex.org/I106938459"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I106938459"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03171899,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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":0.9983999729156494,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6803985238075256},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6796232461929321},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6702814698219299},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6554551124572754},{"id":"https://openalex.org/keywords/nadir","display_name":"Nadir","score":0.6281986832618713},{"id":"https://openalex.org/keywords/photogrammetry","display_name":"Photogrammetry","score":0.6043118238449097},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5206167697906494},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.51661616563797},{"id":"https://openalex.org/keywords/elevation","display_name":"Elevation (ballistics)","score":0.4276425242424011},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4230969548225403},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4088369607925415},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.37964338064193726},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2527540326118469},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2508043944835663},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1578277349472046},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09285131096839905},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09077364206314087}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6803985238075256},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6796232461929321},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6702814698219299},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6554551124572754},{"id":"https://openalex.org/C88575799","wikidata":"https://www.wikidata.org/wiki/Q145825","display_name":"Nadir","level":3,"score":0.6281986832618713},{"id":"https://openalex.org/C117455697","wikidata":"https://www.wikidata.org/wiki/Q190149","display_name":"Photogrammetry","level":2,"score":0.6043118238449097},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5206167697906494},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.51661616563797},{"id":"https://openalex.org/C37054046","wikidata":"https://www.wikidata.org/wiki/Q641888","display_name":"Elevation (ballistics)","level":2,"score":0.4276425242424011},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4230969548225403},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4088369607925415},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.37964338064193726},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2527540326118469},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2508043944835663},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1578277349472046},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09285131096839905},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09077364206314087},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jurse.2017.7924576","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jurse.2017.7924576","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Joint Urban Remote Sensing Event (JURSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1975897093","https://openalex.org/W2009736105","https://openalex.org/W2088474560","https://openalex.org/W2141132024","https://openalex.org/W2160934142","https://openalex.org/W2165114467","https://openalex.org/W2324571433","https://openalex.org/W4256659446"],"related_works":["https://openalex.org/W1936443018","https://openalex.org/W3114051225","https://openalex.org/W2495312616","https://openalex.org/W2053295005","https://openalex.org/W2043483232","https://openalex.org/W2052056785","https://openalex.org/W2365572566","https://openalex.org/W2394068580","https://openalex.org/W2525880111","https://openalex.org/W2369515111"],"abstract_inverted_index":{"Very":[0],"high":[1],"resolution":[2],"(VHR)":[3],"satellite":[4,34],"images":[5,18,35,44],"are":[6,36,67,84,147],"the":[7,52,57,60,81,109,126,140],"ideal":[8],"geo-data":[9],"for":[10,24,101],"mapping":[11,30],"urban":[12,41],"areas.":[13],"The":[14,123],"co-registration":[15,77,99,150],"of":[16,62,69,88,125,148],"such":[17],"with":[19],"elevation":[20],"data":[21,83],"is":[22,117],"crucial":[23],"accurate":[25],"3D-supported":[26],"building":[27,48,102],"extraction":[28],"and":[29],"applications.":[31],"However,":[32],"VHR":[33],"usually":[37,68],"acquired":[38],"off-nadir.":[39],"Over":[40],"areas,":[42],"off-nadir":[43],"suffer":[45],"from":[46],"severe":[47],"lean":[49],"caused":[50],"by":[51],"images'":[53],"perspective":[54],"view.":[55],"On":[56],"other":[58],"hand,":[59],"elevations":[61,129,146],"digital":[63],"surface":[64],"models":[65],"(DSM)":[66],"orthographic":[70],"projection.":[71],"Such":[72],"a":[73,96,112],"difference":[74],"makes":[75],"pixel-by-pixel":[76],"very":[78],"challenging":[79],"unless":[80],"DSM":[82],"modified":[85],"to":[86,132,139],"be":[87,133],"Line-of-Sight":[89],"projection":[90],"(LoS-DSM).":[91],"Therefore,":[92],"this":[93],"paper":[94],"introduces":[95],"novel":[97],"image-DSM":[98],"method":[100,110],"extraction.":[103],"Based":[104],"on":[105],"generating":[106],"disparity":[107],"maps,":[108],"constructs":[111],"perfectly":[113],"co-registered":[114],"LoS-DSM":[115,128],"which":[116],"more":[118],"efficiently":[119],"than":[120,135],"traditional":[121,141],"algorithms.":[122],"root-mean-square-error":[124],"developed":[127],"was":[130],"found":[131],"less":[134],"2":[136],"pixels":[137],"relative":[138],"photogrammetric":[142],"approach.":[143],"Additionally,":[144],"these":[145],"pixel-level":[149],"accuracy.":[151]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}