{"id":"https://openalex.org/W2608025629","doi":"https://doi.org/10.1109/lgrs.2017.2687946","title":"A Bottom-Up/Top-Down Hybrid Algorithm for Model-Based Building Detection in Single Very High Resolution SAR Image","display_name":"A Bottom-Up/Top-Down Hybrid Algorithm for Model-Based Building Detection in Single Very High Resolution SAR Image","publication_year":2017,"publication_date":"2017-04-28","ids":{"openalex":"https://openalex.org/W2608025629","doi":"https://doi.org/10.1109/lgrs.2017.2687946","mag":"2608025629"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2017.2687946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2017.2687946","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5100410529","display_name":"Bo Liu","orcid":"https://orcid.org/0000-0002-0951-3115"},"institutions":[{"id":"https://openalex.org/I194716290","display_name":"China Academy of Space Technology","ror":"https://ror.org/025397a59","country_code":"CN","type":"government","lineage":["https://openalex.org/I194716290","https://openalex.org/I2802615301"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Liu","raw_affiliation_strings":["Qian Xuesen Laboratory of Space Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0951-3115","affiliations":[{"raw_affiliation_string":"Qian Xuesen Laboratory of Space Technology, Beijing, China","institution_ids":["https://openalex.org/I194716290"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074184269","display_name":"Kan Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I2802615301","display_name":"China Aerospace Science and Technology Corporation","ror":"https://ror.org/01z8tr155","country_code":"CN","type":"government","lineage":["https://openalex.org/I2802615301"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kan Tang","raw_affiliation_strings":["The 802 Research Institute, Shanghai Aerospace Science and Technology Corporation, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The 802 Research Institute, Shanghai Aerospace Science and Technology Corporation, Shanghai, China","institution_ids":["https://openalex.org/I2802615301"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056287596","display_name":"Jian Liang","orcid":"https://orcid.org/0000-0001-6298-7718"},"institutions":[{"id":"https://openalex.org/I4210100278","display_name":"Beijing Satellite Navigation Center","ror":"https://ror.org/0188rvx33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210100278"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Liang","raw_affiliation_strings":["DFH Satellite Company Limited, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DFH Satellite Company Limited, Beijing, China","institution_ids":["https://openalex.org/I4210100278"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6996,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.83471587,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"14","issue":"6","first_page":"926","last_page":"930"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9984999895095825,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9980000257492065,"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/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.8578484058380127},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7713634967803955},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5754507780075073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5449924468994141},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5421302318572998},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.47876301407814026},{"id":"https://openalex.org/keywords/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.47674521803855896},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4688972532749176},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44511163234710693},{"id":"https://openalex.org/keywords/top-down-and-bottom-up-design","display_name":"Top-down and bottom-up design","score":0.4317758083343506},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.41615837812423706},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.41379475593566895},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37630772590637207},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.368585467338562},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.2607137858867645}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.8578484058380127},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7713634967803955},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5754507780075073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5449924468994141},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5421302318572998},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.47876301407814026},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.47674521803855896},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4688972532749176},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44511163234710693},{"id":"https://openalex.org/C135798126","wikidata":"https://www.wikidata.org/wiki/Q2167279","display_name":"Top-down and bottom-up design","level":2,"score":0.4317758083343506},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.41615837812423706},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.41379475593566895},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37630772590637207},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.368585467338562},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.2607137858867645},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2017.2687946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2017.2687946","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1519856694","https://openalex.org/W1975746489","https://openalex.org/W2001852931","https://openalex.org/W2023387986","https://openalex.org/W2047254338","https://openalex.org/W2085041112","https://openalex.org/W2108883149","https://openalex.org/W2119764380","https://openalex.org/W2122132455","https://openalex.org/W2124641210","https://openalex.org/W2134533046","https://openalex.org/W2136047491","https://openalex.org/W2138237320","https://openalex.org/W2143309895","https://openalex.org/W2332290198","https://openalex.org/W6631045619"],"related_works":["https://openalex.org/W2540450177","https://openalex.org/W2170580735","https://openalex.org/W1983393909","https://openalex.org/W1552305638","https://openalex.org/W2112228652","https://openalex.org/W2040150569","https://openalex.org/W1994788526","https://openalex.org/W1915418828","https://openalex.org/W2613451563","https://openalex.org/W1966299760"],"abstract_inverted_index":{"Building":[0],"detection":[1,33,125],"from":[2,34,77,148],"high-resolution":[3],"synthetic":[4],"aperture":[5],"radar":[6],"(SAR)":[7],"image":[8,80],"is":[9,46,142],"an":[10],"essential":[11],"issue":[12],"for":[13,30],"many":[14],"SAR":[15,40,79,151],"applications":[16],"in":[17,107,132],"urban":[18],"areas.":[19,135],"In":[20],"this":[21,122],"letter,":[22],"we":[23],"propose":[24],"a":[25,51,62],"novel":[26],"bottom-up/top-down":[27],"hybrid":[28],"algorithm":[29],"model-based":[31],"building":[32,44,63,89,100],"single":[35],"very":[36],"high":[37],"resolution":[38],"(VHR)":[39],"image.":[41],"First,":[42],"the":[43,58,69,78,85,96,108,124,139],"model":[45],"generated":[47],"and":[48,64,95],"described":[49],"by":[50,92,103,144],"set":[52],"of":[53,61,71,138],"extraction":[54],"criteria,":[55],"which":[56],"restrict":[57],"spatial":[59],"layout":[60],"its":[65],"primitive":[66,82,109],"features.":[67,83],"Specifically,":[68],"rectangles":[70],"different":[72],"intensity":[73],"levels":[74],"are":[75,115],"extracted":[76,93],"as":[81],"Then":[84],"bottom-up":[86],"stage":[87],"proposes":[88],"candidates":[90,101,114],"composed":[91,102],"rectangles,":[94],"top-down":[97],"step":[98],"predicts":[99],"weak":[104],"features":[105],"omitted":[106],"extraction.":[110],"After":[111],"that,":[112],"all":[113],"verified":[116,143],"through":[117],"false":[118],"alarm":[119],"detection.":[120],"Under":[121],"framework,":[123],"performances":[126],"can":[127],"be":[128],"greatly":[129],"improved":[130],"especially":[131],"dense":[133],"built-up":[134],"The":[136],"effectiveness":[137],"proposed":[140],"method":[141],"experimental":[145],"results":[146],"obtained":[147],"real":[149],"VHR":[150],"images.":[152]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}