{"id":"https://openalex.org/W4311413413","doi":"https://doi.org/10.1109/sensors52175.2022.9967307","title":"MilliWear \u2014 A Short Range InSAR Approach for Surface Wear Inspection using mm-Wave Radar","display_name":"MilliWear \u2014 A Short Range InSAR Approach for Surface Wear Inspection using mm-Wave Radar","publication_year":2022,"publication_date":"2022-10-30","ids":{"openalex":"https://openalex.org/W4311413413","doi":"https://doi.org/10.1109/sensors52175.2022.9967307"},"language":"en","primary_location":{"id":"doi:10.1109/sensors52175.2022.9967307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sensors52175.2022.9967307","pdf_url":null,"source":{"id":"https://openalex.org/S4363604906","display_name":"2022 IEEE Sensors","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Sensors","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/A5091844706","display_name":"Amit Swain","orcid":"https://orcid.org/0000-0002-7201-2903"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Amit Swain","raw_affiliation_strings":["TCS Research,Kolkata,India","TCS Research, Kolkata, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Research,Kolkata,India","institution_ids":[]},{"raw_affiliation_string":"TCS Research, Kolkata, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069088629","display_name":"Anwesha Khasnobish","orcid":"https://orcid.org/0000-0002-3274-7673"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anwesha Khasnobish","raw_affiliation_strings":["TCS Research,Kolkata,India","TCS Research, Kolkata, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Research,Kolkata,India","institution_ids":[]},{"raw_affiliation_string":"TCS Research, Kolkata, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028137106","display_name":"Smriti Rani","orcid":"https://orcid.org/0000-0002-6388-6289"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Smriti Rani","raw_affiliation_strings":["TCS Research,Kolkata,India","TCS Research, Kolkata, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Research,Kolkata,India","institution_ids":[]},{"raw_affiliation_string":"TCS Research, Kolkata, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040890802","display_name":"Chirabrata Bhaumik","orcid":"https://orcid.org/0000-0001-7175-182X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chirabrata Bhaumik","raw_affiliation_strings":["TCS Research,Kolkata,India","TCS Research, Kolkata, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Research,Kolkata,India","institution_ids":[]},{"raw_affiliation_string":"TCS Research, Kolkata, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004819329","display_name":"Tapas Chakravarty","orcid":"https://orcid.org/0000-0001-5131-8850"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tapas Chakravarty","raw_affiliation_strings":["TCS Research,Kolkata,India","TCS Research, Kolkata, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Research,Kolkata,India","institution_ids":[]},{"raw_affiliation_string":"TCS Research, Kolkata, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2294,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.88322718,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":0.9957000017166138,"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":0.9957000017166138,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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":0.9900000095367432,"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/interferometric-synthetic-aperture-radar","display_name":"Interferometric synthetic aperture radar","score":0.8100429773330688},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6639364957809448},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6178988814353943},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.5808220505714417},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5679265260696411},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5630497336387634},{"id":"https://openalex.org/keywords/interferometry","display_name":"Interferometry","score":0.5582467913627625},{"id":"https://openalex.org/keywords/downtime","display_name":"Downtime","score":0.5296632647514343},{"id":"https://openalex.org/keywords/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.480647474527359},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4801301658153534},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46875739097595215},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.463650107383728},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.45461899042129517},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4465102553367615},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.3800819218158722},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20156338810920715},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.11820623278617859},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.11264657974243164},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.087847501039505}],"concepts":[{"id":"https://openalex.org/C22286887","wikidata":"https://www.wikidata.org/wiki/Q1666056","display_name":"Interferometric synthetic aperture radar","level":3,"score":0.8100429773330688},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6639364957809448},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6178988814353943},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.5808220505714417},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5679265260696411},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5630497336387634},{"id":"https://openalex.org/C166689943","wikidata":"https://www.wikidata.org/wiki/Q850283","display_name":"Interferometry","level":2,"score":0.5582467913627625},{"id":"https://openalex.org/C180591934","wikidata":"https://www.wikidata.org/wiki/Q1253369","display_name":"Downtime","level":2,"score":0.5296632647514343},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.480647474527359},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4801301658153534},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46875739097595215},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.463650107383728},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.45461899042129517},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4465102553367615},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3800819218158722},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20156338810920715},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.11820623278617859},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.11264657974243164},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.087847501039505},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sensors52175.2022.9967307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sensors52175.2022.9967307","pdf_url":null,"source":{"id":"https://openalex.org/S4363604906","display_name":"2022 IEEE Sensors","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Sensors","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1483394429","https://openalex.org/W1597590648","https://openalex.org/W2025695861","https://openalex.org/W2061577342","https://openalex.org/W2069388801","https://openalex.org/W2112673317","https://openalex.org/W2129206142","https://openalex.org/W2728987138","https://openalex.org/W2805507048","https://openalex.org/W2942090905","https://openalex.org/W2946608165","https://openalex.org/W2964826043","https://openalex.org/W3009625620","https://openalex.org/W3041456013","https://openalex.org/W3085643842","https://openalex.org/W3091245656","https://openalex.org/W3110977014","https://openalex.org/W3111084419","https://openalex.org/W3112843328","https://openalex.org/W3135107342","https://openalex.org/W3200324048","https://openalex.org/W6635765743","https://openalex.org/W6751362647","https://openalex.org/W6786705816"],"related_works":["https://openalex.org/W2540450177","https://openalex.org/W2170580735","https://openalex.org/W1552305638","https://openalex.org/W2112228652","https://openalex.org/W1994788526","https://openalex.org/W1915418828","https://openalex.org/W2613451563","https://openalex.org/W1966299760","https://openalex.org/W2150075356","https://openalex.org/W2007886977"],"abstract_inverted_index":{"In-situ":[0],"inspection":[1,30],"of":[2,13,17,46,52,60,123,130],"surface":[3],"wear":[4,18,73],"remains":[5],"a":[6,95],"daunting":[7],"task":[8],"for":[9],"the":[10,32,35,44,58,104,113,120,124],"industry.":[11],"Detection":[12],"intermediate":[14],"progressive":[15],"dynamics":[16],"requires":[19],"repeated":[20],"examinations":[21],"which":[22],"is":[23,55],"time-consuming,":[24],"adding":[25],"to":[26,37,43,56,69,90],"mill":[27,33],"downtime.":[28],"Runtime":[29],"inside":[31],"necessitates":[34],"ability":[36],"sense":[38],"through":[39],"occluded":[40],"media":[41],"due":[42],"presence":[45],"grinding":[47],"dust.":[48],"The":[49,108],"primary":[50],"objective":[51],"this":[53],"work":[54],"assess":[57],"feasibility":[59],"using":[61],"short":[62],"range":[63],"interferometric":[64],"synthetic":[65],"aperture":[66],"radar":[67],"(InSAR)":[68],"detect":[70],"and":[71,94,112],"quantify":[72],"or":[74],"other":[75],"tribological":[76],"phenomena":[77],"associated":[78],"with":[79,119,128],"metallic":[80],"surfaces.":[81],"A":[82],"novel":[83],"variable":[84],"focusing":[85],"algorithm":[86],"has":[87,100],"been":[88,101],"used":[89],"generate":[91],"SAR":[92,110],"images":[93,111],"unique":[96],"automated":[97],"co-registration":[98],"scheme":[99],"employed":[102],"in":[103],"InSAR":[105],"processing":[106],"pipeline.":[107],"reconstructed":[109],"generated":[114],"interferogram":[115],"reflect":[116],"strong":[117],"overlap":[118],"ground":[121],"truth":[122],"sample":[125],"under":[126],"test":[127],"MSE":[129],"0.0611.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}