{"id":"https://openalex.org/W2008789742","doi":"https://doi.org/10.1109/tgrs.2014.2306233","title":"Object-Oriented Shadow Detection and Removal From Urban High-Resolution Remote Sensing Images","display_name":"Object-Oriented Shadow Detection and Removal From Urban High-Resolution Remote Sensing Images","publication_year":2014,"publication_date":"2014-03-27","ids":{"openalex":"https://openalex.org/W2008789742","doi":"https://doi.org/10.1109/tgrs.2014.2306233","mag":"2008789742"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2014.2306233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2014.2306233","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5104119949","display_name":"Hongya Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongya Zhang","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","School of Remote Sensing and information Engineering, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Remote Sensing and information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006872582","display_name":"Kaimin Sun","orcid":"https://orcid.org/0000-0002-2664-9479"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaimin Sun","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China","State Key Lab. of Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., Wuhan, , China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]},{"raw_affiliation_string":"State Key Lab. of Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., Wuhan, , China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100678685","display_name":"Wenzhuo Li","orcid":"https://orcid.org/0000-0002-0079-8978"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenzhuo Li","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","School of Remote Sensing and information Engineering, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Remote Sensing and information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5104119949"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":4.3897,"has_fulltext":false,"cited_by_count":94,"citation_normalized_percentile":{"value":0.9561032,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"52","issue":"11","first_page":"6972","last_page":"6982"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"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/T13282","display_name":"Automated Road and Building Extraction","score":0.994700014591217,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.7998815774917603},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7311095595359802},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6998122930526733},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6737134456634521},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5934351086616516},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5290754437446594},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5198929309844971},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5115604996681213},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.46333351731300354},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.44005635380744934},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.43138909339904785},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.41201668977737427},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.3211239278316498},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28938719630241394},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11870527267456055}],"concepts":[{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.7998815774917603},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7311095595359802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6998122930526733},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6737134456634521},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5934351086616516},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5290754437446594},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5198929309844971},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5115604996681213},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.46333351731300354},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.44005635380744934},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.43138909339904785},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.41201668977737427},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3211239278316498},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28938719630241394},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11870527267456055},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2014.2306233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2014.2306233","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8600000143051147,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G4036000018","display_name":null,"funder_award_id":"40901211","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G442966953","display_name":null,"funder_award_id":"41101414","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1572226543","https://openalex.org/W1704999350","https://openalex.org/W1985616492","https://openalex.org/W1991997465","https://openalex.org/W1993634828","https://openalex.org/W2001151189","https://openalex.org/W2010472122","https://openalex.org/W2010828461","https://openalex.org/W2013882327","https://openalex.org/W2028240797","https://openalex.org/W2068885053","https://openalex.org/W2089063443","https://openalex.org/W2097244687","https://openalex.org/W2125270033","https://openalex.org/W2136878419","https://openalex.org/W2137069078","https://openalex.org/W2137338246","https://openalex.org/W2139514605","https://openalex.org/W2144527376","https://openalex.org/W2145267774","https://openalex.org/W2147558395","https://openalex.org/W2159148136","https://openalex.org/W2163690586","https://openalex.org/W2166369979","https://openalex.org/W2171548319","https://openalex.org/W2350299285","https://openalex.org/W2371639905","https://openalex.org/W2394470710","https://openalex.org/W6637430524","https://openalex.org/W6684131558","https://openalex.org/W6705816239"],"related_works":["https://openalex.org/W2893218741","https://openalex.org/W2558319350","https://openalex.org/W1492594177","https://openalex.org/W1842742976","https://openalex.org/W2803235238","https://openalex.org/W399661440","https://openalex.org/W410356389","https://openalex.org/W1992929574","https://openalex.org/W3112085556","https://openalex.org/W639782700"],"abstract_inverted_index":{"In":[0,22],"accordance":[1],"with":[2,86,130],"the":[3,38,42,82,89,101,112],"characteristics":[4],"of":[5,41,92,133],"urban":[6,120],"high-resolution":[7,121],"color":[8],"remote":[9,122],"sensing":[10,123],"images,":[11,43],"we":[12],"put":[13],"forward":[14],"an":[15],"object-oriented":[16],"shadow":[17,25,71],"detection":[18],"and":[19,34,65,125],"removal":[20,95],"method.":[21],"this":[23],"method,":[24],"features":[26,40],"are":[27,46,58,84],"taken":[28],"into":[29],"consideration":[30],"during":[31],"image":[32],"segmentation,":[33],"then,":[35],"according":[36,61,99],"to":[37,62,88,100],"statistical":[39],"suspected":[44],"shadows":[45,57,118,129],"extracted.":[47],"Furthermore,":[48],"some":[49],"dark":[50],"objects":[51],"which":[52],"could":[53],"be":[54],"mistaken":[55],"for":[56],"ruled":[59],"out":[60],"object":[63],"properties":[64],"spatial":[66],"relationship":[67],"between":[68],"objects.":[69],"For":[70],"removal,":[72],"inner-outer":[73],"outline":[74],"profile":[75],"line":[76],"(IOOPL)":[77],"matching":[78],"is":[79,96],"used.":[80],"First,":[81],"IOOPLs":[83],"obtained":[85],"respect":[87],"boundary":[90],"lines":[91],"shadows.":[93],"Shadow":[94],"then":[97],"performed":[98],"homogeneous":[102],"sections":[103],"attained":[104],"through":[105],"IOOPL":[106],"similarity":[107],"matching.":[108],"Experiments":[109],"show":[110],"that":[111],"new":[113],"method":[114],"can":[115,126],"accurately":[116],"detect":[117],"from":[119],"images":[124],"effectively":[127],"restore":[128],"a":[131],"rate":[132],"over":[134],"85%.":[135]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}