{"id":"https://openalex.org/W2070974807","doi":"https://doi.org/10.1109/igarss.2013.6721204","title":"Building detection in high resolution satellite urban image using segmentation, corner detection combined with adaptive windowed Hough Transform","display_name":"Building detection in high resolution satellite urban image using segmentation, corner detection combined with adaptive windowed Hough Transform","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2070974807","doi":"https://doi.org/10.1109/igarss.2013.6721204","mag":"2070974807"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2013.6721204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2013.6721204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS","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/A5100742710","display_name":"Mi Wang","orcid":"https://orcid.org/0000-0003-2799-5987"},"institutions":[{"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"]},{"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":"Mi Wang","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, 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, Wuhan Univ., Wuhan, China]","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033906757","display_name":"Shenggu Yuan","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"]},{"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":"Shenggu Yuan","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, 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, Wuhan Univ., Wuhan, China]","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015083158","display_name":"Jun Pan","orcid":"https://orcid.org/0000-0001-6756-0692"},"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":"Jun Pan","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, 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, Wuhan Univ., Wuhan, China]","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100742710"],"corresponding_institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"],"apc_list":null,"apc_paid":null,"fwci":5.223,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.94726606,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"508","last_page":"511"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9994999766349792,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9958999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.8963956832885742},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.8452960252761841},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.758368194103241},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7076833248138428},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6193181872367859},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5982815027236938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5799327492713928},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5588292479515076},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.43566539883613586},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41007646918296814},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.38580191135406494},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.33432114124298096},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2499907910823822}],"concepts":[{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.8963956832885742},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.8452960252761841},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.758368194103241},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7076833248138428},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6193181872367859},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5982815027236938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5799327492713928},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5588292479515076},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.43566539883613586},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41007646918296814},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.38580191135406494},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33432114124298096},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2499907910823822},{"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/igarss.2013.6721204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2013.6721204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS","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":[{"id":"https://openalex.org/F4320334924","display_name":"Program for New Century Excellent Talents in University","ror":"https://ror.org/01mv9t934"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1579869106","https://openalex.org/W1911811051","https://openalex.org/W2022686119","https://openalex.org/W2034503428","https://openalex.org/W2067191022","https://openalex.org/W2092041043","https://openalex.org/W2130101385","https://openalex.org/W2151103935","https://openalex.org/W2155910279","https://openalex.org/W2164500538","https://openalex.org/W6679025860"],"related_works":["https://openalex.org/W2091533880","https://openalex.org/W2076289882","https://openalex.org/W2235753890","https://openalex.org/W2767265881","https://openalex.org/W1582226822","https://openalex.org/W1669643531","https://openalex.org/W2022942246","https://openalex.org/W2122581818","https://openalex.org/W2344014954","https://openalex.org/W1631910785"],"abstract_inverted_index":{"The":[0],"building":[1,22,127,138,155],"detection":[2,23],"is":[3,33,42,63,112,146],"one":[4,82],"of":[5,51,83,90,109,117,120,125,153],"the":[6,36,38,46,54,57,67,70,74,77,84,88,93,100,106,110,115,121,123,126,136,141,150,154,162],"most":[7],"challenging":[8],"issues":[9],"in":[10,69,132],"remote":[11],"sensing":[12],"image":[13,47],"processing.":[14],"In":[15,35,53,73,92],"this":[16],"paper,":[17],"a":[18,49],"novel":[19],"approach":[20],"for":[21],"using":[24],"corner":[25],"detection,":[26],"segmentation":[27,41,96],"and":[28],"adaptive":[29,142],"windowed":[30,143],"Hough":[31,144],"Transform":[32,145],"presented.":[34],"first,":[37],"Mean":[39,94],"shift":[40,95],"used":[43,64,80,147],"to":[44,65,86,134,148],"split":[45],"into":[48],"numbers":[50],"classes.":[52],"second":[55],"step,":[56],"scale":[58],"invariant":[59],"feature":[60],"transform":[61],"(SIFT)":[62],"extract":[66,135,149],"corners":[68,78,101],"original":[71],"image.":[72],"third":[75],"step":[76],"are":[79],"as":[81],"evidences":[85],"verify":[87],"presence":[89],"buildings.":[91],"result":[97],"image,":[98],"around":[99],"detected":[102],"by":[103],"SIFT":[104],"algorithm,":[105],"approximate":[107,118],"boundary":[108,119],"buildings":[111],"extracted.":[113],"With":[114],"help":[116],"buildings,":[122],"size":[124],"can":[128],"be":[129],"estimate.":[130],"Finally,":[131],"order":[133],"precise":[137],"roof":[139],"boundary,":[140],"straight":[151],"line":[152],"boundary.":[156],"Preliminary":[157],"experimental":[158],"results":[159],"indicate":[160],"that":[161],"proposed":[163],"method":[164],"produced":[165],"promising":[166],"results.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}