{"id":"https://openalex.org/W2126302611","doi":"https://doi.org/10.1109/igarss.2009.5417398","title":"Bayesian building extraction from high resolution polarimetric SAR data","display_name":"Bayesian building extraction from high resolution polarimetric SAR data","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2126302611","doi":"https://doi.org/10.1109/igarss.2009.5417398","mag":"2126302611"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2009.5417398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2009.5417398","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Geoscience and Remote Sensing Symposium","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/A5103552598","display_name":"Wenju He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenju He","raw_affiliation_strings":["Berlin University of Technology, Germany","Berlin University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Berlin University of Technology, Germany","institution_ids":[]},{"raw_affiliation_string":"Berlin University of Technology","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081055268","display_name":"Olaf Hellwich","orcid":"https://orcid.org/0000-0002-2871-9266"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Olaf Hellwich","raw_affiliation_strings":["Berlin University of Technology, Germany","Berlin University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Berlin University of Technology, Germany","institution_ids":[]},{"raw_affiliation_string":"Berlin University of Technology","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.605,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.86017119,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"IV","last_page":"402"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9987000226974487,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9905999898910522,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9904000163078308,"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/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.785990834236145},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6918209195137024},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.6708534359931946},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6335304975509644},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5642785429954529},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5578619837760925},{"id":"https://openalex.org/keywords/polarimetry","display_name":"Polarimetry","score":0.5321998000144958},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.5301426649093628},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4955521821975708},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.48624172806739807},{"id":"https://openalex.org/keywords/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.44320148229599},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4344041347503662},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.43198639154434204},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.4224797487258911},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4223375916481018},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3937869966030121},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2406749129295349},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10373935103416443},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.08481213450431824}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.785990834236145},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6918209195137024},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.6708534359931946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6335304975509644},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5642785429954529},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5578619837760925},{"id":"https://openalex.org/C28493345","wikidata":"https://www.wikidata.org/wiki/Q899381","display_name":"Polarimetry","level":3,"score":0.5321998000144958},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.5301426649093628},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4955521821975708},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.48624172806739807},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.44320148229599},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4344041347503662},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.43198639154434204},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.4224797487258911},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4223375916481018},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3937869966030121},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2406749129295349},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10373935103416443},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.08481213450431824},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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/igarss.2009.5417398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2009.5417398","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8600000143051147}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1519856694","https://openalex.org/W1601795611","https://openalex.org/W1663973292","https://openalex.org/W2138436914","https://openalex.org/W2146352414","https://openalex.org/W2979006918","https://openalex.org/W6631045619"],"related_works":["https://openalex.org/W2469797871","https://openalex.org/W2540450177","https://openalex.org/W2170580735","https://openalex.org/W1552305638","https://openalex.org/W2112228652","https://openalex.org/W2545123933","https://openalex.org/W1994788526","https://openalex.org/W2011609146","https://openalex.org/W1915418828","https://openalex.org/W2613451563"],"abstract_inverted_index":{"Building":[0],"extraction":[1],"from":[2,12],"high":[3],"resolution":[4],"Synthetic":[5],"Aperture":[6],"Radar":[7],"(SAR)":[8],"images":[9,38],"can":[10],"benefit":[11],"modelling":[13],"the":[14,30,47,64],"interaction":[15],"of":[16,34,50,57,71,77],"several":[17],"elements":[18],"in":[19,36],"urban":[20],"scene.":[21],"This":[22],"paper":[23],"proposes":[24],"a":[25],"Bayesian":[26],"approach":[27],"to":[28,63],"exploit":[29],"interplay.":[31],"The":[32,55,75],"appearances":[33],"buildings":[35,51],"SAR":[37],"are":[39],"dependent":[40],"on":[41],"their":[42],"orientation":[43,48],"angles.":[44],"We":[45,67],"estimate":[46],"angles":[49],"by":[52],"supervised":[53],"learning.":[54],"knowledge":[56],"other":[58],"object":[59,73],"classes":[60,84],"could":[61],"contribute":[62],"building":[65,80],"detection.":[66],"extract":[68],"surface":[69,83],"evidence":[70],"major":[72],"classes.":[74],"integration":[76],"angle":[78],"estimation,":[79],"detection":[81],"and":[82],"provides":[85],"promising":[86],"results.":[87]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}