{"id":"https://openalex.org/W3016532654","doi":"https://doi.org/10.1587/transele.2019ecp5050","title":"A Novel Large-Angle ISAR Imaging Algorithm Based on Dynamic Scattering Model","display_name":"A Novel Large-Angle ISAR Imaging Algorithm Based on Dynamic Scattering Model","publication_year":2020,"publication_date":"2020-04-16","ids":{"openalex":"https://openalex.org/W3016532654","doi":"https://doi.org/10.1587/transele.2019ecp5050","mag":"3016532654"},"language":"en","primary_location":{"id":"doi:10.1587/transele.2019ecp5050","is_oa":false,"landing_page_url":"https://doi.org/10.1587/transele.2019ecp5050","pdf_url":null,"source":{"id":"https://openalex.org/S2489501747","display_name":"IEICE Transactions on Electronics","issn_l":"0916-8524","issn":["0916-8524","1745-1353"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Electronics","raw_type":"journal-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/A5100435549","display_name":"Ping Li","orcid":"https://orcid.org/0000-0002-9293-207X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ping LI","raw_affiliation_strings":["Xidian University"],"affiliations":[{"raw_affiliation_string":"Xidian University","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080509511","display_name":"Feng Zhou","orcid":"https://orcid.org/0000-0002-1514-7393"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng ZHOU","raw_affiliation_strings":["Xidian University"],"affiliations":[{"raw_affiliation_string":"Xidian University","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005734123","display_name":"Bo Zhao","orcid":"https://orcid.org/0000-0003-4264-2282"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo ZHAO","raw_affiliation_strings":["Shenzhen University"],"affiliations":[{"raw_affiliation_string":"Shenzhen University","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087052960","display_name":"Maliang Liu","orcid":"https://orcid.org/0000-0003-3181-3277"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maliang LIU","raw_affiliation_strings":["Xidian University"],"affiliations":[{"raw_affiliation_string":"Xidian University","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049448415","display_name":"Huaxi Gu","orcid":"https://orcid.org/0000-0002-6409-2229"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaxi GU","raw_affiliation_strings":["Xidian University"],"affiliations":[{"raw_affiliation_string":"Xidian University","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100435549"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.01845138,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"E103.C","issue":"10","first_page":"524","last_page":"532"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9986000061035156,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.9087234735488892},{"id":"https://openalex.org/keywords/ransac","display_name":"RANSAC","score":0.7205368876457214},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.6840291023254395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6425262093544006},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5698290467262268},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5672245621681213},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5121921896934509},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.4990255832672119},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4578304886817932},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4278339147567749},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.3130722641944885},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3066008388996124},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25339269638061523}],"concepts":[{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.9087234735488892},{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.7205368876457214},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.6840291023254395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6425262093544006},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5698290467262268},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5672245621681213},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5121921896934509},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.4990255832672119},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4578304886817932},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4278339147567749},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.3130722641944885},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3066008388996124},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25339269638061523},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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:10.1587/transele.2019ecp5050","is_oa":false,"landing_page_url":"https://doi.org/10.1587/transele.2019ecp5050","pdf_url":null,"source":{"id":"https://openalex.org/S2489501747","display_name":"IEICE Transactions on Electronics","issn_l":"0916-8524","issn":["0916-8524","1745-1353"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.4399999976158142,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1893780030","https://openalex.org/W1967742277","https://openalex.org/W1970021742","https://openalex.org/W2017027267","https://openalex.org/W2020168646","https://openalex.org/W2020873585","https://openalex.org/W2041253282","https://openalex.org/W2051251230","https://openalex.org/W2072915577","https://openalex.org/W2085261163","https://openalex.org/W2086631462","https://openalex.org/W2091255643","https://openalex.org/W2111073598","https://openalex.org/W2129842638","https://openalex.org/W2138904554","https://openalex.org/W2151103935","https://openalex.org/W2241421345","https://openalex.org/W2290865669","https://openalex.org/W2345870072","https://openalex.org/W2540477128","https://openalex.org/W2541012526","https://openalex.org/W2553824163","https://openalex.org/W2555022737","https://openalex.org/W2555675992","https://openalex.org/W2765095486","https://openalex.org/W2767976962"],"related_works":["https://openalex.org/W2912782527","https://openalex.org/W2002904063","https://openalex.org/W2559085038","https://openalex.org/W2184781617","https://openalex.org/W2724122122","https://openalex.org/W2410884360","https://openalex.org/W2613823046","https://openalex.org/W4251240031","https://openalex.org/W2032794652","https://openalex.org/W2574175918"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,9,98],"large-angle":[4],"imaging":[5,101],"algorithm":[6],"based":[7],"on":[8,52],"dynamic":[10],"scattering":[11,41],"model":[12,38],"for":[13],"inverse":[14],"synthetic":[15],"aperture":[16],"radar":[17],"(ISAR).":[18],"In":[19],"this":[20,53],"way,":[21],"more":[22],"information":[23],"can":[24],"be":[25],"presented":[26],"in":[27,57],"an":[28,32],"ISAR":[29,44,62],"image":[30],"than":[31],"ordinary":[33],"RD":[34],"image.":[35],"The":[36],"proposed":[37,113],"describes":[39],"the":[40,61,69,103,109,112],"characteristics":[42],"of":[43,60,111],"target":[45],"varying":[46],"with":[47],"different":[48],"observation":[49],"angles.":[50],"Based":[51],"model,":[54],"feature":[55,71,82],"points":[56],"each":[58],"sub-image":[59],"targets":[63],"are":[64,87],"extracted":[65],"and":[66,74],"matched":[67],"using":[68,102],"scale-invariant":[70],"transform":[72],"(SIFT)":[73],"random":[75],"sample":[76],"consensus":[77],"(RANSAC)":[78],"algorithms.":[79],"Using":[80],"these":[81],"points,":[83],"high-precision":[84],"rotation":[85],"angles":[86],"obtained":[88],"via":[89],"joint":[90],"estimation,":[91],"which":[92],"makes":[93],"it":[94],"possible":[95],"to":[96],"achieve":[97],"large":[99],"angle":[100],"back-projection":[104],"algorithm.":[105],"Simulation":[106],"results":[107],"verifies":[108],"validity":[110],"method.":[114]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
