{"id":"https://openalex.org/W2245224712","doi":"https://doi.org/10.1109/geoinformatics.2015.7378601","title":"DSM generation on the shade of tree area of aerial photogrammetry","display_name":"DSM generation on the shade of tree area of aerial photogrammetry","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W2245224712","doi":"https://doi.org/10.1109/geoinformatics.2015.7378601","mag":"2245224712"},"language":"en","primary_location":{"id":"doi:10.1109/geoinformatics.2015.7378601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2015.7378601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd International Conference on Geoinformatics","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/A5023337666","display_name":"Jin-Tsong Hwang","orcid":null},"institutions":[{"id":"https://openalex.org/I99613584","display_name":"National Taipei University","ror":"https://ror.org/03e29r284","country_code":"TW","type":"education","lineage":["https://openalex.org/I99613584"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Jin-Tsong Hwang","raw_affiliation_strings":["Dept. Real Estate and Built Environment, National Taipei University, New Taipei City, Taiwan"],"affiliations":[{"raw_affiliation_string":"Dept. Real Estate and Built Environment, National Taipei University, New Taipei City, Taiwan","institution_ids":["https://openalex.org/I99613584"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100439328","display_name":"Yi-Wen Chen","orcid":"https://orcid.org/0000-0002-2979-3329"},"institutions":[{"id":"https://openalex.org/I99613584","display_name":"National Taipei University","ror":"https://ror.org/03e29r284","country_code":"TW","type":"education","lineage":["https://openalex.org/I99613584"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yi-Wen Chen","raw_affiliation_strings":["Dept. Real Estate and Built Environment, National Taipei University, New Taipei City, Taiwan"],"affiliations":[{"raw_affiliation_string":"Dept. Real Estate and Built Environment, National Taipei University, New Taipei City, Taiwan","institution_ids":["https://openalex.org/I99613584"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045984584","display_name":"Wen-Yu Lian","orcid":null},"institutions":[{"id":"https://openalex.org/I99613584","display_name":"National Taipei University","ror":"https://ror.org/03e29r284","country_code":"TW","type":"education","lineage":["https://openalex.org/I99613584"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen-Yu Lian","raw_affiliation_strings":["Dept. Real Estate and Built Environment, National Taipei University, New Taipei City, Taiwan"],"affiliations":[{"raw_affiliation_string":"Dept. Real Estate and Built Environment, National Taipei University, New Taipei City, Taiwan","institution_ids":["https://openalex.org/I99613584"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090335964","display_name":"Yuyun Yang","orcid":"https://orcid.org/0000-0002-7331-1454"},"institutions":[{"id":"https://openalex.org/I99613584","display_name":"National Taipei University","ror":"https://ror.org/03e29r284","country_code":"TW","type":"education","lineage":["https://openalex.org/I99613584"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Yun Yang","raw_affiliation_strings":["Dept. Real Estate and Built Environment, National Taipei University, New Taipei City, Taiwan"],"affiliations":[{"raw_affiliation_string":"Dept. Real Estate and Built Environment, National Taipei University, New Taipei City, Taiwan","institution_ids":["https://openalex.org/I99613584"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026406638","display_name":"Ting-Chen Chu","orcid":null},"institutions":[{"id":"https://openalex.org/I99613584","display_name":"National Taipei University","ror":"https://ror.org/03e29r284","country_code":"TW","type":"education","lineage":["https://openalex.org/I99613584"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ting-Chen Chu","raw_affiliation_strings":["Dept. Real Estate and Built Environment, National Taipei University, New Taipei City, Taiwan"],"affiliations":[{"raw_affiliation_string":"Dept. Real Estate and Built Environment, National Taipei University, New Taipei City, Taiwan","institution_ids":["https://openalex.org/I99613584"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5023337666"],"corresponding_institution_ids":["https://openalex.org/I99613584"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.08722287,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.995199978351593,"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/photogrammetry","display_name":"Photogrammetry","score":0.9065260291099548},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7624503374099731},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.7608742117881775},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7095202207565308},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6988009214401245},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6312589049339294},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5808882117271423},{"id":"https://openalex.org/keywords/structure-from-motion","display_name":"Structure from motion","score":0.544703483581543},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.534843385219574},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.5321067571640015},{"id":"https://openalex.org/keywords/aerial-imagery","display_name":"Aerial imagery","score":0.4501570761203766},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.36182379722595215},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3567066192626953},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.3043246567249298},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18516576290130615},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1659862995147705},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.14955464005470276}],"concepts":[{"id":"https://openalex.org/C117455697","wikidata":"https://www.wikidata.org/wiki/Q190149","display_name":"Photogrammetry","level":2,"score":0.9065260291099548},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7624503374099731},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.7608742117881775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7095202207565308},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6988009214401245},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6312589049339294},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5808882117271423},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.544703483581543},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.534843385219574},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.5321067571640015},{"id":"https://openalex.org/C2987819851","wikidata":"https://www.wikidata.org/wiki/Q191839","display_name":"Aerial imagery","level":2,"score":0.4501570761203766},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.36182379722595215},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3567066192626953},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3043246567249298},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18516576290130615},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1659862995147705},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.14955464005470276},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/geoinformatics.2015.7378601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2015.7378601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd International Conference on Geoinformatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2027254180","https://openalex.org/W2124386111","https://openalex.org/W2151103935","https://openalex.org/W2162842531"],"related_works":["https://openalex.org/W2550823067","https://openalex.org/W2957974561","https://openalex.org/W2907355054","https://openalex.org/W2754925781","https://openalex.org/W3037606728","https://openalex.org/W2939006302","https://openalex.org/W4281899130","https://openalex.org/W2982862307","https://openalex.org/W2948141360","https://openalex.org/W2980519471"],"abstract_inverted_index":{"In":[0],"aerial":[1,52,132,170],"photogrammetry,":[2],"a":[3,49,59,71,109,127,139,158],"shooting":[4],"area":[5,145,152],"is":[6,34],"occasionally":[7],"covered":[8],"by":[9,122,130,169],"tree.":[10,74],"The":[11,21],"shade":[12,72],"of":[13,25,65,73,104,138,141,161],"trees":[14],"prevent":[15],"us":[16],"from":[17,69,81,93,150],"obtaining":[18],"spatial":[19,105],"information.":[20],"texture":[22],"and":[23,85,91,165],"color":[24],"the":[26,39,63,83,102,136,142,154,162,166],"tree":[27],"can":[28],"be":[29],"so":[30],"homogenous":[31],"that":[32,78],"it":[33,45],"difficult":[35,46],"to":[36,47,57,97,107,117,146],"accurately":[37],"extract":[38,147],"feature":[40,88,148],"points.":[41],"This":[42,54],"problem":[43],"makes":[44],"generate":[48,118],"DSM":[50,121,128,140,167],"using":[51,131],"photogrammetry.":[53,133,171],"study":[55,144,151],"attempted":[56],"determine":[58],"method":[60],"for":[61],"improving":[62],"accuracy":[64,137],"3D":[66,110],"information":[67],"obtained":[68],"under":[70,82],"We":[75,134],"used":[76],"photos":[77],"were":[79],"shot":[80],"tree,":[84],"combined":[86],"scale-invariant":[87],"transform":[89],"(SIFT)":[90],"structure":[92],"motion":[94],"(SfM)":[95],"algorithms":[96],"conduct":[98],"image-based":[99],"modelling":[100],"through":[101],"reconstruction":[103],"geometry":[106],"produce":[108],"point":[111,124,163],"cloud.":[112],"Data":[113],"fusion":[114,160],"was":[115],"conducted":[116],"an":[119],"entire":[120,143],"integrating":[123],"cloud":[125,164],"into":[126],"map":[129],"assessed":[135],"points":[149,156],"as":[153],"control":[155],"in":[157],"data":[159],"produced":[168]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
