{"id":"https://openalex.org/W2520172704","doi":"https://doi.org/10.1109/jstars.2016.2603184","title":"Building Extraction from Remotely Sensed Images by Integrating Saliency Cue","display_name":"Building Extraction from Remotely Sensed Images by Integrating Saliency Cue","publication_year":2016,"publication_date":"2016-09-14","ids":{"openalex":"https://openalex.org/W2520172704","doi":"https://doi.org/10.1109/jstars.2016.2603184","mag":"2520172704"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2016.2603184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2016.2603184","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5102880512","display_name":"Er Li","orcid":"https://orcid.org/0000-0002-4145-6472"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Er Li","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011919230","display_name":"Shibiao Xu","orcid":"https://orcid.org/0000-0003-4037-9900"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shibiao Xu","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112127114","display_name":"Weiliang Meng","orcid":"https://orcid.org/0000-0002-3221-4981"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiliang Meng","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100667567","display_name":"Xiaopeng Zhang","orcid":"https://orcid.org/0000-0002-0092-6474"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaopeng Zhang","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102880512"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":3.6741,"has_fulltext":false,"cited_by_count":63,"citation_normalized_percentile":{"value":0.95636632,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"10","issue":"3","first_page":"906","last_page":"919"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9986000061035156,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9986000061035156,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9976999759674072,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9936000108718872,"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/computer-science","display_name":"Computer science","score":0.8227756023406982},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7651455402374268},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6726906299591064},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6694281101226807},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.6003673076629639},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5605441927909851},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5586216449737549},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.528276264667511},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5201205015182495},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5164318680763245},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.5098916292190552},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.47306859493255615}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8227756023406982},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7651455402374268},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6726906299591064},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6694281101226807},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.6003673076629639},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5605441927909851},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5586216449737549},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.528276264667511},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5201205015182495},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5164318680763245},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.5098916292190552},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.47306859493255615},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/jstars.2016.2603184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2016.2603184","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8299999833106995,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G2077637263","display_name":null,"funder_award_id":"61331018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2184137242","display_name":null,"funder_award_id":"61671451","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4187770188","display_name":null,"funder_award_id":"61502490","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5066778879","display_name":null,"funder_award_id":"91338202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8030430803","display_name":null,"funder_award_id":"61620106003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320313934","display_name":"Institut national de recherche en informatique et en automatique (INRIA)","ror":"https://ror.org/02kvxyf05"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W21025885","https://openalex.org/W27675589","https://openalex.org/W197592383","https://openalex.org/W1480746830","https://openalex.org/W1505938733","https://openalex.org/W1966411833","https://openalex.org/W1975962639","https://openalex.org/W1976827068","https://openalex.org/W1982075130","https://openalex.org/W2000803298","https://openalex.org/W2002781701","https://openalex.org/W2008666786","https://openalex.org/W2018946093","https://openalex.org/W2037954058","https://openalex.org/W2039313011","https://openalex.org/W2047670868","https://openalex.org/W2055180303","https://openalex.org/W2058436841","https://openalex.org/W2090608714","https://openalex.org/W2112725765","https://openalex.org/W2117301471","https://openalex.org/W2118246710","https://openalex.org/W2122524329","https://openalex.org/W2128272608","https://openalex.org/W2130101385","https://openalex.org/W2138046011","https://openalex.org/W2142127300","https://openalex.org/W2155653432","https://openalex.org/W2157284958","https://openalex.org/W2158479016","https://openalex.org/W2161236525","https://openalex.org/W2168548458","https://openalex.org/W2169041475","https://openalex.org/W2221868434","https://openalex.org/W2338347875","https://openalex.org/W2952793010","https://openalex.org/W6600850345","https://openalex.org/W6601108208","https://openalex.org/W6679025860"],"related_works":["https://openalex.org/W2356597680","https://openalex.org/W2114846443","https://openalex.org/W3102147106","https://openalex.org/W2093471820","https://openalex.org/W1557094818","https://openalex.org/W2347460059","https://openalex.org/W50079190","https://openalex.org/W3136048405","https://openalex.org/W182104056","https://openalex.org/W3143595119"],"abstract_inverted_index":{"In":[0],"this":[1,46],"paper,":[2],"we":[3,76,132],"propose":[4],"a":[5,81,89,123,148],"novel":[6],"two-step":[7],"building":[8,34,69,130,142,155],"extraction":[9,156],"method":[10,210],"from":[11,67,96],"remote":[12],"sensing":[13],"images":[14],"by":[15,71],"integrating":[16],"saliency":[17,78,106,126,134,162,203],"cue.":[18],"We":[19,158],"first":[20],"utilize":[21],"classical":[22,74],"features":[23],"such":[24],"as":[25,80],"shadow,":[26],"color,":[27],"and":[28,205],"shape":[29],"to":[30,48,61,84,114,151,177],"find":[31],"out":[32],"initial":[33],"candidates.":[35],"A":[36],"fully":[37],"connected":[38],"conditional":[39],"random":[40],"field":[41],"model":[42,150],"is":[43,59,88,108,145],"introduced":[44],"in":[45,91,136],"step":[47],"ensure":[49],"that":[50,109,160,207],"most":[51],"of":[52,105,140,170,173,199,202],"the":[53,64,68,103,137,153,161,171,187,197,200,208,212],"buildings":[54],"are":[55,111],"incorporated.":[56],"While":[57],"it":[58],"hard":[60],"further":[62],"remove":[63],"mislabled":[65],"rooftops":[66,110],"candidates":[70],"only":[72],"using":[73],"features,":[75],"adopt":[77],"cue":[79,135,163,204],"new":[82],"feature":[83],"determine":[85],"whether":[86],"there":[87],"rooftop":[90],"each":[92,141],"segmentation":[93],"patch":[94],"obtained":[95],"previous":[97],"step.":[98],"The":[99],"basic":[100],"idea":[101],"behind":[102],"use":[104],"information":[107],"more":[112],"likely":[113],"attract":[115],"visual":[116],"attention":[117],"than":[118],"surrounding":[119],"objects.":[120],"Based":[121],"on":[122,192],"specifically":[124],"designed":[125],"estimation":[127],"algorithm":[128],"for":[129],"object,":[131],"extract":[133],"local":[138],"region":[139],"candidate,":[143],"which":[144,175],"integrated":[146],"into":[147],"probabilistic":[149,168],"get":[152],"final":[154],"result.":[157],"show":[159],"can":[164],"provide":[165],"an":[166],"efficient":[167],"indication":[169],"presence":[172],"rooftops,":[174],"helps":[176],"reduce":[178],"false":[179,184],"positives":[180],"while":[181],"without":[182],"increasing":[183],"negatives":[185],"at":[186],"same":[188],"time.":[189],"Experimental":[190],"results":[191],"two":[193],"benchmark":[194],"datasets":[195],"highlight":[196],"advantages":[198],"integration":[201],"demonstrate":[206],"proposed":[209],"outperforms":[211],"state-of-the-art":[213],"methods.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
