{"id":"https://openalex.org/W4366381335","doi":"https://doi.org/10.1145/3584376.3584512","title":"Micro Motion Target Detection and Parameter Estimation for Synthetic Aperture Radar Based on DPCA and Hough Transform","display_name":"Micro Motion Target Detection and Parameter Estimation for Synthetic Aperture Radar Based on DPCA and Hough Transform","publication_year":2022,"publication_date":"2022-12-16","ids":{"openalex":"https://openalex.org/W4366381335","doi":"https://doi.org/10.1145/3584376.3584512"},"language":"en","primary_location":{"id":"doi:10.1145/3584376.3584512","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3584376.3584512","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence","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/A5052763174","display_name":"Changli Li","orcid":"https://orcid.org/0000-0003-1577-0748"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Changli Li","raw_affiliation_strings":["School of Artificial Intelligence, Nanjing University of Information Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Nanjing University of Information Science and Technology, China","institution_ids":["https://openalex.org/I200845125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5052763174"],"corresponding_institution_ids":["https://openalex.org/I200845125"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0791962,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"763","last_page":"767"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9998999834060669,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9907000064849854,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9890000224113464,"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/hough-transform","display_name":"Hough transform","score":0.8273716568946838},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7533555626869202},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7362848520278931},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.710644543170929},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6388755440711975},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.5832777619361877},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5715015530586243},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.5211967825889587},{"id":"https://openalex.org/keywords/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.49223533272743225},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4700312316417694},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.44286003708839417},{"id":"https://openalex.org/keywords/motion-detection","display_name":"Motion detection","score":0.43857383728027344},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4170064628124237},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3998379707336426},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.3752927780151367},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.32750362157821655},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23431354761123657},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18804055452346802},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17958882451057434}],"concepts":[{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.8273716568946838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7533555626869202},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7362848520278931},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.710644543170929},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6388755440711975},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.5832777619361877},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5715015530586243},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.5211967825889587},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.49223533272743225},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4700312316417694},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.44286003708839417},{"id":"https://openalex.org/C2780624872","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion detection","level":3,"score":0.43857383728027344},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4170064628124237},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3998379707336426},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.3752927780151367},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.32750362157821655},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23431354761123657},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18804055452346802},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17958882451057434},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3584376.3584512","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3584376.3584512","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G8268901501","display_name":null,"funder_award_id":"61871174","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1978064460","https://openalex.org/W2047504451","https://openalex.org/W2067631298","https://openalex.org/W2076132344","https://openalex.org/W2076546844","https://openalex.org/W2086188282","https://openalex.org/W2114971338","https://openalex.org/W2118809607","https://openalex.org/W2137373259","https://openalex.org/W2153594606"],"related_works":["https://openalex.org/W2032184077","https://openalex.org/W1667910453","https://openalex.org/W3022026509","https://openalex.org/W2376783291","https://openalex.org/W153860287","https://openalex.org/W2362528979","https://openalex.org/W2115641108","https://openalex.org/W2074255581","https://openalex.org/W2610014769","https://openalex.org/W1966592431"],"abstract_inverted_index":{"The":[0,62],"technology":[1],"of":[2,17,26,57,90,96,103,118],"detecting":[3,18],"micro-motion":[4,19,32],"targets":[5,20],"in":[6],"SAR":[7,42],"provides":[8],"a":[9,65],"powerful":[10],"theoretical":[11],"basis":[12,48],"for":[13,40,49],"improving":[14],"the":[15,24,27,54,85,88,94,101,113,119],"ability":[16],"and":[21,35,74,100,115],"fully":[22],"obtaining":[23],"information":[25,36],"ground":[28],"moving":[29],"target.":[30,122],"Target":[31],"conveys":[33],"features":[34],"which":[37],"are":[38],"favorable":[39],"understanding":[41],"image.":[43],"It":[44],"is":[45,105,109],"an":[46],"important":[47],"target":[50,67],"recognition.":[51],"Due":[52],"to":[53,79,111],"detection":[55,68],"performance":[56],"DPCA":[58,75,91],"affected":[59],"by":[60],"noise,":[61],"paper":[63],"proposed":[64],"vibration":[66],"method":[69],"based":[70],"on":[71],"Hough":[72,77],"transform":[73,78],"using":[76],"noise":[80],"not":[81,106],"focusing.":[82],"Aiming":[83],"at":[84],"problem":[86],"that":[87],"amplitude":[89,114],"cancellation":[92],"affects":[93],"estimation":[95,102],"signal":[97],"phase":[98],"accurately":[99],"parameters":[104,117],"accurate,":[107],"FFT":[108],"used":[110],"estimate":[112],"frequency":[116],"micro":[120],"motion":[121]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
