{"id":"https://openalex.org/W2100298061","doi":"https://doi.org/10.1109/cvprw.2008.4563063","title":"Detection of buried objects using GPR change detection in polarimetric Huynen spaces","display_name":"Detection of buried objects using GPR change detection in polarimetric Huynen spaces","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2100298061","doi":"https://doi.org/10.1109/cvprw.2008.4563063","mag":"2100298061"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2008.4563063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2008.4563063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","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/A5102057817","display_name":"Firooz A. Sadjadi","orcid":null},"institutions":[{"id":"https://openalex.org/I1287521167","display_name":"Lockheed Martin (United States)","ror":"https://ror.org/026er9r08","country_code":"US","type":"company","lineage":["https://openalex.org/I1287521167"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Firooz Sadjadi","raw_affiliation_strings":["Lockheed Martin Corporation, Saint Anthony, MN, USA","Lockheed Martin Corp., St. Anthony, MN"],"affiliations":[{"raw_affiliation_string":"Lockheed Martin Corporation, Saint Anthony, MN, USA","institution_ids":["https://openalex.org/I1287521167"]},{"raw_affiliation_string":"Lockheed Martin Corp., St. Anthony, MN","institution_ids":["https://openalex.org/I1287521167"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112577036","display_name":"Anders Sullivan","orcid":null},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anders Sullivan","raw_affiliation_strings":["Army Research Laboratory, Adelphi, MD, USA","Army Research Laboratory,Adelphi,Maryland,USA"],"affiliations":[{"raw_affiliation_string":"Army Research Laboratory, Adelphi, MD, USA","institution_ids":["https://openalex.org/I166416128"]},{"raw_affiliation_string":"Army Research Laboratory,Adelphi,Maryland,USA","institution_ids":["https://openalex.org/I166416128"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109208225","display_name":"G. C. Gaunaurd","orcid":null},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guillermo Gaunaurd","raw_affiliation_strings":["Army Research Laboratory, Adelphi, MD, USA","Army Research Laboratory,Adelphi,Maryland,USA"],"affiliations":[{"raw_affiliation_string":"Army Research Laboratory, Adelphi, MD, USA","institution_ids":["https://openalex.org/I166416128"]},{"raw_affiliation_string":"Army Research Laboratory,Adelphi,Maryland,USA","institution_ids":["https://openalex.org/I166416128"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102057817"],"corresponding_institution_ids":["https://openalex.org/I1287521167"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17888615,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4394","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9983999729156494,"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/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.7927512526512146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6698715686798096},{"id":"https://openalex.org/keywords/polarimetry","display_name":"Polarimetry","score":0.6693044304847717},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.5946425199508667},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.5895298719406128},{"id":"https://openalex.org/keywords/ground-penetrating-radar","display_name":"Ground-penetrating radar","score":0.556029736995697},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5082470774650574},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.5007679462432861},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.49089938402175903},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46958985924720764},{"id":"https://openalex.org/keywords/polarization","display_name":"Polarization (electrochemistry)","score":0.45656901597976685},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4433043301105499},{"id":"https://openalex.org/keywords/notice","display_name":"Notice","score":0.4374547600746155},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.4297887980937958},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4092526137828827},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39502865076065063},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38261014223098755},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3305368423461914},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2045551836490631},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.19003960490226746},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11815980076789856},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10772243142127991},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10658302903175354},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.10409900546073914}],"concepts":[{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.7927512526512146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6698715686798096},{"id":"https://openalex.org/C28493345","wikidata":"https://www.wikidata.org/wiki/Q899381","display_name":"Polarimetry","level":3,"score":0.6693044304847717},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.5946425199508667},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.5895298719406128},{"id":"https://openalex.org/C71813955","wikidata":"https://www.wikidata.org/wiki/Q503560","display_name":"Ground-penetrating radar","level":3,"score":0.556029736995697},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5082470774650574},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.5007679462432861},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.49089938402175903},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46958985924720764},{"id":"https://openalex.org/C205049153","wikidata":"https://www.wikidata.org/wiki/Q2698605","display_name":"Polarization (electrochemistry)","level":2,"score":0.45656901597976685},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4433043301105499},{"id":"https://openalex.org/C2779913896","wikidata":"https://www.wikidata.org/wiki/Q7063001","display_name":"Notice","level":2,"score":0.4374547600746155},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.4297887980937958},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4092526137828827},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39502865076065063},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38261014223098755},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3305368423461914},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2045551836490631},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.19003960490226746},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11815980076789856},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10772243142127991},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10658302903175354},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.10409900546073914},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C147789679","wikidata":"https://www.wikidata.org/wiki/Q11372","display_name":"Physical chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvprw.2008.4563063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2008.4563063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.419.9185","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.419.9185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mplab.ucsd.edu/wp-content/uploads/CVPR2008/WorkShops/data/papers/114.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1484290300","https://openalex.org/W1515302430","https://openalex.org/W1978159135","https://openalex.org/W2022516945","https://openalex.org/W2030016421","https://openalex.org/W2068605487","https://openalex.org/W2069031084","https://openalex.org/W2116769568","https://openalex.org/W2163394559","https://openalex.org/W2319784630"],"related_works":["https://openalex.org/W4315471419","https://openalex.org/W2946057701","https://openalex.org/W4386931161","https://openalex.org/W2374146176","https://openalex.org/W2065249286","https://openalex.org/W2366839571","https://openalex.org/W2027762722","https://openalex.org/W4223960160","https://openalex.org/W1483630349","https://openalex.org/W2148298232"],"abstract_inverted_index":{"Change":[0],"detection":[1,56,192],"is":[2,32,74,122],"a":[3,11,75,85],"useful":[4,147],"method":[5],"for":[6,115,159,190],"detecting":[7],"new":[8],"events":[9],"in":[10,78,84,105,125,133,198],"scene":[12],"such":[13,92],"as":[14,93],"the":[15,20,30,49,66,120,128,142,153,157,166,194],"placement":[16],"of":[17,22,29,87,127,135,141,165,168,175],"mines,":[18],"and/or":[19],"movement":[21],"people,":[23],"vehicles":[24],"and":[25,48,95,97,149,204],"structures.":[26],"The":[27,54],"basis":[28],"approach":[31,114,170],"to":[33],"examine":[34],"an":[35],"area":[36],"via":[37],"radar":[38],"several":[39],"times.":[40],"Once,":[41],"before":[42],"there":[43,61],"were":[44],"targets":[45,178],"planted":[46],"there,":[47],"other":[50],"(or":[51],"others)":[52],"after.":[53],"change":[55,117,191],"algorithm":[57],"will":[58],"notice":[59],"if":[60],"are":[62,179,187],"any":[63],"changes":[64,104],"after":[65],"first":[67],"view":[68],"was":[69],"made.":[70],"False":[71],"alarm,":[72],"that":[73,184],"critical":[76,100],"issue":[77],"this":[79,109,169],"approach,":[80],"can":[81],"be":[82],"reduced":[83],"number":[86],"ways:":[88],"exploiting":[89,99],"additional":[90],"information":[91],"phase":[94],"polarization,":[96],"2)":[98],"attributes":[101,151],"by":[102],"computing":[103],"focused":[106],"sub-spaces.":[107],"In":[108],"paper":[110],"we":[111],"present":[112],"anew":[113],"polarimetric":[116,173],"detection,":[118],"whereby":[119],"target":[121],"represented":[123],"not":[124],"terms":[126,134],"complex":[129],"scattering":[130,195],"elements":[131,197],"but":[132],"phenomenologically-based":[136],"Huynen":[137,143,185],"parameters.":[138],"Each":[139],"element":[140],"parameter":[144],"set":[145],"conveys":[146],"physical":[148],"geometrical":[150],"about":[152],"scatterers":[154],"thus":[155],"augmenting":[156],"potential":[158],"significant":[160],"false":[161],"alarm":[162],"mitigation.":[163],"Results":[164],"application":[167],"on":[171],"fully":[172],"signatures":[174],"simulated":[176],"buried":[177],"provided.":[180],"These":[181],"results":[182],"indicate":[183],"parameters":[186],"more":[188],"effective":[189],"than":[193],"matrix":[196],"generating":[199],"higher":[200],"unambiguous":[201],"autocorrelation":[202],"peaks":[203],"less":[205],"prominent":[206],"cross-correlation":[207],"peaks.":[208]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
