{"id":"https://openalex.org/W2003803211","doi":"https://doi.org/10.1109/icip.2010.5652125","title":"Passive imaging exploiting multiple scattering using distributed apertures","display_name":"Passive imaging exploiting multiple scattering using distributed apertures","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2003803211","doi":"https://doi.org/10.1109/icip.2010.5652125","mag":"2003803211"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2010.5652125","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5652125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","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/A5100398647","display_name":"Ling Wang","orcid":"https://orcid.org/0000-0001-7140-430X"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ling Wang","raw_affiliation_strings":["College of Information Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","College of Information Science and Technology, Nanjing University of Aeronautics and Astronautics, 210016, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"College of Information Science and Technology, Nanjing University of Aeronautics and Astronautics, 210016, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060008468","display_name":"Il-Young Son","orcid":null},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Il-Young Son","raw_affiliation_strings":["Department of Electrical, Computer and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA","Department of Electrical, Computer & Systems Engineering, Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY 12180, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical, Computer and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"Department of Electrical, Computer & Systems Engineering, Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY 12180, USA","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056090082","display_name":"Birsen Yaz\u0131c\u0131","orcid":"https://orcid.org/0000-0002-0912-0848"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Birsen Yazici","raw_affiliation_strings":["Department of Electrical, Computer and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA","Department of Electrical, Computer & Systems Engineering, Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY 12180, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical, Computer and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"Department of Electrical, Computer & Systems Engineering, Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY 12180, USA","institution_ids":["https://openalex.org/I165799507"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100398647"],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09765686,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1 2","issue":null,"first_page":"1385","last_page":"1388"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11698","display_name":"Underwater Acoustics Research","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":0.9951000213623047,"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/clutter","display_name":"Clutter","score":0.7392632365226746},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.644173264503479},{"id":"https://openalex.org/keywords/test-statistic","display_name":"Test statistic","score":0.6108312010765076},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5601309537887573},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.5148517489433289},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.495098739862442},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4914292097091675},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.47481048107147217},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.4589255154132843},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4538409411907196},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4215281009674072},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3533240556716919},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.3068247437477112},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2559596002101898},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2498610019683838},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22539547085762024},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11758935451507568}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.7392632365226746},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.644173264503479},{"id":"https://openalex.org/C169857963","wikidata":"https://www.wikidata.org/wiki/Q1461038","display_name":"Test statistic","level":3,"score":0.6108312010765076},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5601309537887573},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.5148517489433289},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.495098739862442},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4914292097091675},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.47481048107147217},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.4589255154132843},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4538409411907196},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4215281009674072},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3533240556716919},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.3068247437477112},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2559596002101898},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2498610019683838},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22539547085762024},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11758935451507568},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2010.5652125","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5652125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.420.2513","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.2513","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ecse.rpi.edu/~yazici/Passive Imaging Exploting Multiple Scattering Using Distributed Apertures.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1525535255","https://openalex.org/W1974439616","https://openalex.org/W2000341326","https://openalex.org/W2011661039","https://openalex.org/W2090733118","https://openalex.org/W2101996248","https://openalex.org/W2102533265","https://openalex.org/W2121827072","https://openalex.org/W2123864323","https://openalex.org/W2129683646","https://openalex.org/W2131576659","https://openalex.org/W2135631451","https://openalex.org/W2155962206","https://openalex.org/W2169117591","https://openalex.org/W4206180546"],"related_works":["https://openalex.org/W2369238782","https://openalex.org/W3015822731","https://openalex.org/W2957280400","https://openalex.org/W2075332338","https://openalex.org/W1970221037","https://openalex.org/W4386776152","https://openalex.org/W2919042","https://openalex.org/W1826709224","https://openalex.org/W2135903028","https://openalex.org/W2488034322"],"abstract_inverted_index":{"We":[0,33,59,96,132],"develop":[1,43],"a":[2,21,35,44,51,65],"new":[3],"passive":[4,142],"image":[5],"formation":[6],"method":[7],"capable":[8],"of":[9,24,31,82,90,118,140],"exploiting":[10],"information":[11],"about":[12],"multiple":[13],"scattering":[14],"in":[15],"the":[16,61,73,76,83,91,98,106,116,119,123,130,138,141],"environment":[17],"using":[18,72],"measurements":[19,49,55,77],"from":[20],"sparse":[22],"array":[23],"receivers":[25],"that":[26,47],"rely":[27],"on":[28],"illumination":[29],"sources":[30],"opportunity.":[32],"use":[34,122],"physics-based":[36],"approach":[37],"to":[38,54,85,110,128,136],"model":[39,46,74],"wave":[40],"propagation":[41],"and":[42,88,94,113,121],"statistical":[45],"relates":[48],"at":[50,56,78],"given":[52],"receiver":[53],"other":[57],"receivers.":[58],"formulate":[60],"imaging":[62,143],"problem":[63,71,103],"as":[64],"spatially":[66,99,125],"resolved":[67,100,126],"binary":[68],"hypothesis":[69,101],"testing":[70,102],"between":[75],"different":[79],"receivers,":[80],"statistics":[81,89],"objects":[84],"be":[86,111],"imaged":[87],"additive":[92],"noise":[93],"clutter.":[95],"address":[97],"by":[104,114],"constraining":[105],"associated":[107],"discriminant":[108],"functional":[109],"linear":[112],"maximizing":[115],"signal-to-noise-ratio":[117],"test-statistic,":[120],"resulting":[124],"test-statistics":[127],"form":[129],"image.":[131],"present":[133],"numerical":[134],"simulations":[135],"demonstrate":[137],"performance":[139],"algorithm.":[144]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}