{"id":"https://openalex.org/W2019828838","doi":"https://doi.org/10.1109/igarss.2013.6723051","title":"Fast GPR underground shape anomaly detection using the Semi-Analytic Mode Matching (SAMM) algorithm","display_name":"Fast GPR underground shape anomaly detection using the Semi-Analytic Mode Matching (SAMM) algorithm","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2019828838","doi":"https://doi.org/10.1109/igarss.2013.6723051","mag":"2019828838"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2013.6723051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2013.6723051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS","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/A5036158193","display_name":"Ann Morgenthaler","orcid":null},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ann Morgenthaler","raw_affiliation_strings":["Electrical and Computer Engineering Department, Northeastern University, Boston, MA","Electr. & Comput. Eng. Dept., Northeastern Univ., Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Northeastern University, Boston, MA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Electr. & Comput. Eng. Dept., Northeastern Univ., Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084763215","display_name":"Carey M. Rappaport","orcid":"https://orcid.org/0000-0002-9441-9114"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carey Rappaport","raw_affiliation_strings":["Electrical and Computer Engineering Department, Northeastern University, Boston, MA","Electr. & Comput. Eng. Dept., Northeastern Univ., Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Northeastern University, Boston, MA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Electr. & Comput. Eng. Dept., Northeastern Univ., Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5036158193"],"corresponding_institution_ids":["https://openalex.org/I12912129"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.1271481,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1422","last_page":"1425"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":1.0,"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":1.0,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9998000264167786,"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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/ground-penetrating-radar","display_name":"Ground-penetrating radar","score":0.8183264136314392},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6734362840652466},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.5340456366539001},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.5214542746543884},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5016067028045654},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.49923276901245117},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.48433220386505127},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.46760740876197815},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4589174687862396},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.45593637228012085},{"id":"https://openalex.org/keywords/bistatic-radar","display_name":"Bistatic radar","score":0.4196470379829407},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4115835726261139},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34817057847976685},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3313702940940857},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.14815035462379456},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.10131174325942993},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0742368996143341}],"concepts":[{"id":"https://openalex.org/C71813955","wikidata":"https://www.wikidata.org/wiki/Q503560","display_name":"Ground-penetrating radar","level":3,"score":0.8183264136314392},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6734362840652466},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.5340456366539001},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.5214542746543884},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5016067028045654},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.49923276901245117},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.48433220386505127},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.46760740876197815},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4589174687862396},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.45593637228012085},{"id":"https://openalex.org/C100102862","wikidata":"https://www.wikidata.org/wiki/Q2625855","display_name":"Bistatic radar","level":4,"score":0.4196470379829407},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4115835726261139},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34817057847976685},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3313702940940857},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.14815035462379456},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.10131174325942993},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0742368996143341},{"id":"https://openalex.org/C77928131","wikidata":"https://www.wikidata.org/wiki/Q193343","display_name":"Tectonics","level":2,"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.2013.6723051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2013.6723051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1505812996","https://openalex.org/W1995005770","https://openalex.org/W2097263521","https://openalex.org/W2102751024","https://openalex.org/W2158042626"],"related_works":["https://openalex.org/W2620680451","https://openalex.org/W2545123933","https://openalex.org/W3127689436","https://openalex.org/W2080958151","https://openalex.org/W3198014086","https://openalex.org/W1981675605","https://openalex.org/W2585813813","https://openalex.org/W3110962985","https://openalex.org/W2042726296","https://openalex.org/W2081203575"],"abstract_inverted_index":{"Ground":[0],"penetrating":[1],"radar":[2,43,132],"is":[3,12,94,116,155,160,169],"an":[4,13],"effective":[5],"means":[6],"of":[7,33,81,99,150],"characterizing":[8,119],"the":[9,61,75,97,100,113],"subsurface":[10],"and":[11,26,84,86,145,148,157],"invaluable":[14],"tool":[15],"for":[16,138],"detecting":[17],"buried":[18,79,121,139],"anomalies,":[19],"including":[20],"land":[21],"mines,":[22],"utility":[23],"lines,":[24],"tunnels,":[25],"pavement":[27],"deterioration":[28],"[1-3].":[29],"The":[30],"conventional":[31],"strategies":[32],"migrating":[34],"monostatic":[35],"time":[36],"domain":[37],"signals":[38],"or":[39,152],"using":[40],"synthetic":[41],"aperture":[42],"(SAR)":[44],"techniques":[45],"to":[46,69,89],"produce":[47],"images":[48],"are":[49],"improved":[50],"in":[51,110,141],"this":[52,72],"work":[53],"by":[54,104],"a":[55,78,126],"model-based":[56],"inversion":[57],"algorithm":[58,115],"which":[59],"uses":[60],"Semi-Analytic":[62],"Mode":[63],"Matching":[64],"(SAMM)":[65],"method":[66],"[4,5].":[67],"Similar":[68],"pattern":[70],"matching,":[71],"approach":[73],"simulates":[74],"scattering":[76,93],"from":[77,96],"object":[80],"specific":[82],"size":[83,158],"shape":[85],"compares":[87],"it":[88],"observed":[90],"signals.":[91],"Since":[92],"considered":[95],"entirety":[98],"target":[101],"rather":[102],"than":[103],"analyzing":[105],"each":[106],"spatial":[107],"pixel":[108],"as":[109],"SAR":[111],"imaging,":[112],"inverse-SAMM":[114],"superior":[117],"at":[118,134],"larger":[120],"objects.":[122],"Here,":[123],"we":[124],"consider":[125],"forward-looking,":[127],"standoff,":[128],"vehicle-mounted":[129],"multi-monostatic":[130],"stepped-frequency":[131],"operating":[133],"0.4-3":[135],"GHz":[136],"searching":[137],"mines":[140,154],"two":[142],"dimensions":[143],"(depth":[144],"down-track).":[146],"Detection":[147],"localization":[149],"metallic":[151],"plastic-cased":[153],"excellent":[156],"characterization":[159],"reasonable,":[161],"even":[162],"when":[163],"fairly":[164],"substantial":[165],"ground":[166],"surface":[167],"roughness":[168],"included.":[170]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}