{"id":"https://openalex.org/W3129291863","doi":"https://doi.org/10.1109/igarss39084.2020.9323779","title":"Multi-Angular SAR Statistical Properties Analysis and Man-Made Target Detection","display_name":"Multi-Angular SAR Statistical Properties Analysis and Man-Made Target Detection","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3129291863","doi":"https://doi.org/10.1109/igarss39084.2020.9323779","mag":"3129291863"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9323779","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323779","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/A5024530550","display_name":"Fei Teng","orcid":"https://orcid.org/0000-0002-1592-5933"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Teng","raw_affiliation_strings":["Key Laboratory of Technology in Geospatial Information Processing and Application System, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Technology in Geospatial Information Processing and Application System, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086281345","display_name":"Yun Lin","orcid":"https://orcid.org/0000-0002-3020-5715"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Lin","raw_affiliation_strings":["School of Electronic Information Engineering, North China University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, North China University of Technology, Beijing, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100652818","display_name":"Yanping Wang","orcid":"https://orcid.org/0000-0002-1287-670X"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanping Wang","raw_affiliation_strings":["School of Electronic Information Engineering, North China University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, North China University of Technology, Beijing, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020325868","display_name":"Wenjie Shen","orcid":"https://orcid.org/0000-0001-7442-4605"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjie Shen","raw_affiliation_strings":["Key Laboratory of Technology in Geospatial Information Processing and Application System, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Technology in Geospatial Information Processing and Application System, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078217440","display_name":"Shanshan Feng","orcid":"https://orcid.org/0000-0003-0272-9009"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanshan Feng","raw_affiliation_strings":["Key Laboratory of Technology in Geospatial Information Processing and Application System, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Technology in Geospatial Information Processing and Application System, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101750735","display_name":"Wen Hong","orcid":"https://orcid.org/0000-0002-8645-2264"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Hong","raw_affiliation_strings":["Key Laboratory of Technology in Geospatial Information Processing and Application System, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Technology in Geospatial Information Processing and Application System, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"782","last_page":"785"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":0.9807999730110168,"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/isotropy","display_name":"Isotropy","score":0.8401889204978943},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7401835322380066},{"id":"https://openalex.org/keywords/anisotropy","display_name":"Anisotropy","score":0.6978130340576172},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.5854504704475403},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.5451471209526062},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.513796865940094},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.4797022044658661},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.4218841791152954},{"id":"https://openalex.org/keywords/aperture","display_name":"Aperture (computer memory)","score":0.41279298067092896},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.41131913661956787},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.33545589447021484},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2257484793663025},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2007819414138794},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.17787262797355652},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1330741047859192},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13145923614501953}],"concepts":[{"id":"https://openalex.org/C184050105","wikidata":"https://www.wikidata.org/wiki/Q273163","display_name":"Isotropy","level":2,"score":0.8401889204978943},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7401835322380066},{"id":"https://openalex.org/C85725439","wikidata":"https://www.wikidata.org/wiki/Q466686","display_name":"Anisotropy","level":2,"score":0.6978130340576172},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.5854504704475403},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.5451471209526062},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.513796865940094},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.4797022044658661},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.4218841791152954},{"id":"https://openalex.org/C78336883","wikidata":"https://www.wikidata.org/wiki/Q4779385","display_name":"Aperture (computer memory)","level":2,"score":0.41279298067092896},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.41131913661956787},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.33545589447021484},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2257484793663025},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2007819414138794},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.17787262797355652},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1330741047859192},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13145923614501953}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9323779","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323779","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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2011738980","https://openalex.org/W2078618370","https://openalex.org/W2988662053"],"related_works":["https://openalex.org/W1542224353","https://openalex.org/W1661087619","https://openalex.org/W2116854923","https://openalex.org/W2750730210","https://openalex.org/W2236974868","https://openalex.org/W4312766348","https://openalex.org/W4233939244","https://openalex.org/W2730764323","https://openalex.org/W3123806511","https://openalex.org/W1976727107"],"abstract_inverted_index":{"In":[0,59],"conventional":[1],"synthetic":[2],"aperture":[3,16],"radar":[4],"(SAR)":[5],"working":[6,44],"mode,":[7],"targets":[8,22,67],"are":[9,23,68,79,93,157],"assumed":[10],"isotropic":[11,91,140],"due":[12],"to":[13,116,159],"the":[14,26,50,54,62,76,87,90,106,119,133],"limited":[15],"length.":[17],"However,":[18],"most":[19],"of":[20,53,66,75,89,122],"man-made":[21,33,98,134],"anisotropic.":[24],"Therefore,":[25],"anisotropic":[27,51,77,125,129],"scattering":[28,52,123],"can":[29,48,136],"help":[30],"us":[31],"do":[32],"target":[34,55,78,92,99],"detection.":[35],"Circular":[36],"SAR":[37,43,148,155],"(CSAR)":[38],"[1]":[39],"is":[40,102,114,124],"a":[41,97,151],"new":[42],"mode":[45],"and":[46,150],"it":[47],"obtain":[49],"by":[56,142],"360\u00b0":[57],"observation.":[58],"this":[60],"paper,":[61],"multi-angular":[63,107],"statistical":[64,108,120],"properties":[65],"analyzed.":[69],"The":[70],"probability":[71],"density":[72],"functions":[73],"(PDF)":[74],"various":[80],"under":[81],"different":[82],"aspect":[83],"viewing":[84],"angles,":[85],"while":[86],"PDFs":[88],"basically":[94],"stable.":[95],"Then":[96,128],"detection":[100],"method":[101],"proposed":[103],"based":[104],"on":[105],"property.":[109],"Likelihood":[110],"ratio":[111],"test":[112],"[2]":[113],"used":[115,158],"judge":[117],"whether":[118],"property":[121],"or":[126],"isotropic.":[127],"scatterings,":[130],"which":[131],"represent":[132],"targets,":[135],"be":[137],"discriminated":[138],"from":[139],"scatterings":[141],"thresholding.":[143],"An":[144],"X-band":[145],"chamber":[146],"circular":[147,154],"data":[149,156],"C-band":[152],"airborne":[153],"illustrated":[160],"our":[161],"idea.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
