{"id":"https://openalex.org/W3132424513","doi":"https://doi.org/10.1109/igarss39084.2020.9324457","title":"Instance Segmentation of Buildings Using Keypoints","display_name":"Instance Segmentation of Buildings Using Keypoints","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3132424513","doi":"https://doi.org/10.1109/igarss39084.2020.9324457","mag":"3132424513"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9324457","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324457","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100624316","display_name":"Qingyu Li","orcid":"https://orcid.org/0000-0003-1067-1222"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Qingyu Li","raw_affiliation_strings":["Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Germany","institution_ids":["https://openalex.org/I2898391981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024379450","display_name":"Lichao Mou","orcid":"https://orcid.org/0000-0001-8407-6413"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lichao Mou","raw_affiliation_strings":["Signal Processing in Earth Observation, Technical University of Munich (TUM), Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal Processing in Earth Observation, Technical University of Munich (TUM), Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090543058","display_name":"Yuansheng Hua","orcid":"https://orcid.org/0000-0001-9238-2920"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yuansheng Hua","raw_affiliation_strings":["Signal Processing in Earth Observation, Technical University of Munich (TUM), Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal Processing in Earth Observation, Technical University of Munich (TUM), Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100649796","display_name":"Yao Sun","orcid":"https://orcid.org/0000-0003-2757-1527"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yao Sun","raw_affiliation_strings":["Signal Processing in Earth Observation, Technical University of Munich (TUM), Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal Processing in Earth Observation, Technical University of Munich (TUM), Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023815489","display_name":"Pu Jin","orcid":"https://orcid.org/0000-0001-6327-017X"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Pu Jin","raw_affiliation_strings":["Signal Processing in Earth Observation, Technical University of Munich (TUM), Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal Processing in Earth Observation, Technical University of Munich (TUM), Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061007704","display_name":"Yilei Shi","orcid":"https://orcid.org/0000-0001-7386-0026"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yilei Shi","raw_affiliation_strings":["Remote Sensing Technology, Technical University of Munich (TUM), Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Remote Sensing Technology, Technical University of Munich (TUM), Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068384981","display_name":"Xiao Xiang Zhu","orcid":"https://orcid.org/0000-0001-5530-3613"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Xiao Xiang Zhu","raw_affiliation_strings":["Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Germany","institution_ids":["https://openalex.org/I2898391981"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7086,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.89895744,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1452","last_page":"1455"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9990000128746033,"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":0.9987000226974487,"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/segmentation","display_name":"Segmentation","score":0.8617280721664429},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7444136142730713},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7297137379646301},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6358669996261597},{"id":"https://openalex.org/keywords/polygon","display_name":"Polygon (computer graphics)","score":0.6338160634040833},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.62550288438797},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5545592904090881},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5116234421730042},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4665864109992981},{"id":"https://openalex.org/keywords/market-segmentation","display_name":"Market segmentation","score":0.4361170530319214},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3852195143699646},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.13034796714782715},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09666621685028076}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8617280721664429},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7444136142730713},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7297137379646301},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6358669996261597},{"id":"https://openalex.org/C190694206","wikidata":"https://www.wikidata.org/wiki/Q3276654","display_name":"Polygon (computer graphics)","level":3,"score":0.6338160634040833},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.62550288438797},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5545592904090881},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5116234421730042},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4665864109992981},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.4361170530319214},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3852195143699646},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.13034796714782715},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09666621685028076},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss39084.2020.9324457","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324457","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:elib.dlr.de:139191","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324457>.","pdf_url":null,"source":{"id":"https://openalex.org/S4377196266","display_name":"elib (German Aerospace Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2898391981","host_organization_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","host_organization_lineage":["https://openalex.org/I2898391981"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Konferenzbeitrag"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W2085665642","https://openalex.org/W2883423620","https://openalex.org/W2898605096","https://openalex.org/W2963150697","https://openalex.org/W2963927307","https://openalex.org/W2981989409","https://openalex.org/W3012573144","https://openalex.org/W6631782140","https://openalex.org/W6753494528"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W4205800335","https://openalex.org/W2371519352","https://openalex.org/W2386644571","https://openalex.org/W2372421320","https://openalex.org/W2901890255"],"abstract_inverted_index":{"Building":[0],"segmentation":[1,18,21,26,39,43,127],"is":[2,72,123],"of":[3,9,76,85],"great":[4],"importance":[5],"in":[6,44,109],"the":[7,15,73,77,82,86,118],"task":[8],"remote":[10,46],"sensing":[11,47],"imagery":[12],"interpretation.":[13],"However,":[14],"existing":[16],"semantic":[17,74],"and":[19,103,112],"instance":[20,38,126],"methods":[22],"often":[23],"lead":[24],"to":[25,117],"masks":[27],"with":[28,115],"blurred":[29],"boundaries.":[30],"In":[31],"this":[32],"paper,":[33],"we":[34,51],"propose":[35],"a":[36,68,124],"novel":[37],"network":[40,122],"for":[41,98],"building":[42,56,87],"high-resolution":[45],"images.":[48],"More":[49],"specifically,":[50],"consider":[52],"segmenting":[53],"an":[54],"individual":[55],"as":[57,67],"detecting":[58],"several":[59],"keypoints.":[60],"The":[61],"detected":[62],"keypoints":[63],"are":[64,92],"subsequently":[65],"reformulated":[66],"closed":[69],"polygon,":[70],"which":[71],"boundary":[75,84],"building.":[78],"By":[79],"doing":[80],"so,":[81],"sharp":[83],"could":[88,130],"be":[89],"preserved.":[90],"Experiments":[91],"conducted":[93],"on":[94],"selected":[95],"Aerial":[96],"Imagery":[97],"Roof":[99],"Segmentation":[100],"(AIRS)":[101],"dataset,":[102],"our":[104],"method":[105,128],"achieves":[106],"better":[107],"performance":[108],"both":[110],"quantitative":[111],"qualitative":[113],"results":[114],"comparison":[116],"state-of-the-art":[119],"methods.":[120],"Our":[121],"bottom-up":[125],"that":[129],"well":[131],"preserve":[132],"geometric":[133],"details.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}