{"id":"https://openalex.org/W2050612239","doi":"https://doi.org/10.1109/ssp.2012.6319751","title":"Multistatic radar change detection using sparse imaging methods","display_name":"Multistatic radar change detection using sparse imaging methods","publication_year":2012,"publication_date":"2012-08-01","ids":{"openalex":"https://openalex.org/W2050612239","doi":"https://doi.org/10.1109/ssp.2012.6319751","mag":"2050612239"},"language":"en","primary_location":{"id":"doi:10.1109/ssp.2012.6319751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2012.6319751","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Statistical Signal Processing Workshop (SSP)","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/A5004407016","display_name":"Mike Brennan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090934","display_name":"Integrity Applications Incorporated (United States)","ror":"https://ror.org/00az0wf23","country_code":"US","type":"company","lineage":["https://openalex.org/I4210090934"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mike Brennan","raw_affiliation_strings":["Integrity Applications, Inc., Ann Arbor, MI, USA","Integrity Applications Incorporated, Ann Arbor MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Integrity Applications, Inc., Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I4210090934"]},{"raw_affiliation_string":"Integrity Applications Incorporated, Ann Arbor MI, USA","institution_ids":["https://openalex.org/I4210090934"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061932806","display_name":"Chris Kreucher","orcid":"https://orcid.org/0000-0002-4455-0835"},"institutions":[{"id":"https://openalex.org/I4210090934","display_name":"Integrity Applications Incorporated (United States)","ror":"https://ror.org/00az0wf23","country_code":"US","type":"company","lineage":["https://openalex.org/I4210090934"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chris Kreucher","raw_affiliation_strings":["Integrity Applications, Inc., Ann Arbor, MI, USA","Integrity Applications Incorporated, Ann Arbor MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Integrity Applications, Inc., Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I4210090934"]},{"raw_affiliation_string":"Integrity Applications Incorporated, Ann Arbor MI, USA","institution_ids":["https://openalex.org/I4210090934"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111931994","display_name":"Ben Shapo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090934","display_name":"Integrity Applications Incorporated (United States)","ror":"https://ror.org/00az0wf23","country_code":"US","type":"company","lineage":["https://openalex.org/I4210090934"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ben Shapo","raw_affiliation_strings":["Integrity Applications, Inc., Ann Arbor, MI, USA","Integrity Applications Incorporated, Ann Arbor MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Integrity Applications, Inc., Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I4210090934"]},{"raw_affiliation_string":"Integrity Applications Incorporated, Ann Arbor MI, USA","institution_ids":["https://openalex.org/I4210090934"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210090934"],"apc_list":null,"apc_paid":null,"fwci":0.5526,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.63437655,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"532","last_page":"535"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7041047215461731},{"id":"https://openalex.org/keywords/multistatic-radar","display_name":"Multistatic radar","score":0.6788471341133118},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6700725555419922},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.6472568511962891},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5549542903900146},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5444345474243164},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5395160913467407},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5324650406837463},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4967358708381653},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.4963706135749817},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.47389546036720276},{"id":"https://openalex.org/keywords/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.46674710512161255},{"id":"https://openalex.org/keywords/radar-engineering-details","display_name":"Radar engineering details","score":0.29982584714889526},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.21897226572036743},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17284637689590454}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7041047215461731},{"id":"https://openalex.org/C2777585438","wikidata":"https://www.wikidata.org/wiki/Q6935105","display_name":"Multistatic radar","level":5,"score":0.6788471341133118},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6700725555419922},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.6472568511962891},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5549542903900146},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5444345474243164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5395160913467407},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5324650406837463},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4967358708381653},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.4963706135749817},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.47389546036720276},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.46674710512161255},{"id":"https://openalex.org/C134406370","wikidata":"https://www.wikidata.org/wiki/Q832005","display_name":"Radar engineering details","level":4,"score":0.29982584714889526},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.21897226572036743},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17284637689590454},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssp.2012.6319751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2012.6319751","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Statistical Signal Processing Workshop (SSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1963850048","https://openalex.org/W1972149108","https://openalex.org/W2083042020","https://openalex.org/W2103519107"],"related_works":["https://openalex.org/W2540450177","https://openalex.org/W2170580735","https://openalex.org/W1552305638","https://openalex.org/W1915418828","https://openalex.org/W2547107543","https://openalex.org/W2031673444","https://openalex.org/W1994788526","https://openalex.org/W2613451563","https://openalex.org/W2112228652","https://openalex.org/W1966299760"],"abstract_inverted_index":{"This":[0,29],"paper":[1],"describes":[2],"a":[3,12,26,35,65],"sparse":[4],"imaging":[5,92],"approach":[6],"for":[7],"estimating":[8],"change":[9,60],"images":[10],"from":[11,75],"multistatic":[13],"radar":[14],"data.":[15],"In":[16],"our":[17],"application,":[18],"antennas":[19],"are":[20],"arranged":[21],"around":[22],"the":[23,41,49,59,72,76,87],"perimeter":[24],"of":[25],"surveillance":[27],"region.":[28],"provides":[30],"large":[31,42],"angular":[32,38],"diversity":[33],"but":[34],"very":[36,94],"small":[37],"sampling":[39],"over":[40],"aperture.":[43],"Furthermore,":[44],"due":[45],"to":[46,70],"application":[47],"constraints,":[48],"scene":[50],"is":[51],"interrogated":[52],"with":[53,83,93],"limited":[54,95],"frequency":[55,98],"diversity.":[56],"We":[57,81],"address":[58],"image":[61],"estimation":[62],"problem":[63],"using":[64],"compressed":[66],"sensing":[67],"reconstruction":[68],"method":[69],"estimate":[71],"high-dimensional":[73],"signal":[74],"much":[77],"lower":[78],"dimensional":[79],"measurement.":[80],"show":[82],"real":[84],"collected":[85],"data":[86],"sparseness":[88],"model":[89],"enables":[90],"excellent":[91],"spatial":[96],"and":[97],"sampling.":[99]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}