{"id":"https://openalex.org/W2559876835","doi":"https://doi.org/10.1109/lgrs.2016.2628162","title":"Airplane Recognition in TerraSAR-X Images via Scatter Cluster Extraction and Reweighted Sparse Representation","display_name":"Airplane Recognition in TerraSAR-X Images via Scatter Cluster Extraction and Reweighted Sparse Representation","publication_year":2016,"publication_date":"2016-12-08","ids":{"openalex":"https://openalex.org/W2559876835","doi":"https://doi.org/10.1109/lgrs.2016.2628162","mag":"2559876835"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2016.2628162","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2016.2628162","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","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/A5032116461","display_name":"Zongxu Pan","orcid":"https://orcid.org/0000-0002-5041-3300"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongxu Pan","raw_affiliation_strings":["Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5041-3300","affiliations":[{"raw_affiliation_string":"Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110484098","display_name":"Xiaolan Qiu","orcid":"https://orcid.org/0000-0002-8517-3415"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolan Qiu","raw_affiliation_strings":["Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002219929","display_name":"Zhongling Huang","orcid":"https://orcid.org/0000-0003-2368-9229"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongling Huang","raw_affiliation_strings":["Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056766372","display_name":"Bin Lei","orcid":"https://orcid.org/0000-0001-7625-9236"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Lei","raw_affiliation_strings":["Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":64.9503,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.99641188,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"14","issue":"1","first_page":"112","last_page":"116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and 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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and 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/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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9958000183105469,"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/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7364518642425537},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7249033451080322},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6803145408630371},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6412479877471924},{"id":"https://openalex.org/keywords/automatic-target-recognition","display_name":"Automatic target recognition","score":0.5865938663482666},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5752599239349365},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5134795308113098},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4697601795196533},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4599300026893616},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.44106918573379517},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.43726420402526855},{"id":"https://openalex.org/keywords/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.4241250157356262},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.405878484249115},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.3417290151119232},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10816437005996704}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7364518642425537},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7249033451080322},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6803145408630371},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6412479877471924},{"id":"https://openalex.org/C117623542","wikidata":"https://www.wikidata.org/wiki/Q621974","display_name":"Automatic target recognition","level":3,"score":0.5865938663482666},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5752599239349365},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5134795308113098},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4697601795196533},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4599300026893616},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.44106918573379517},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.43726420402526855},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.4241250157356262},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.405878484249115},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.3417290151119232},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10816437005996704},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","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/lgrs.2016.2628162","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2016.2628162","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6775118367","display_name":"\u9ad8\u5206\u8fa8\u7387SAR\u6210\u50cf\u8981\u7d20\u5f71\u54cd\u4e0e\u96c6\u6210\u5316\u5904\u7406\u5e73\u53f0","funder_award_id":"61331017","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W369223902","https://openalex.org/W2019178979","https://openalex.org/W2053913485","https://openalex.org/W2079104254","https://openalex.org/W2086587667","https://openalex.org/W2141472614","https://openalex.org/W2145231349","https://openalex.org/W2158118830","https://openalex.org/W2405905579","https://openalex.org/W3022380717","https://openalex.org/W6612607400"],"related_works":["https://openalex.org/W2540450177","https://openalex.org/W2170580735","https://openalex.org/W3041793138","https://openalex.org/W3013723914","https://openalex.org/W1552305638","https://openalex.org/W2112228652","https://openalex.org/W2613451563","https://openalex.org/W1994788526","https://openalex.org/W157990886","https://openalex.org/W2547107543"],"abstract_inverted_index":{"Target":[0],"recognition":[1,104],"in":[2,12,27,106],"synthetic":[3],"aperture":[4],"radar":[5],"(SAR)":[6],"images":[7],"has":[8],"become":[9],"a":[10,21,51,55,59,80,85,128,138,168],"hotspot":[11],"recent":[13],"years.":[14],"The":[15,199],"backscattering":[16,45],"characteristic":[17,46],"of":[18,32,47,143,175,206],"target":[19,118],"is":[20],"significant":[22],"issue":[23],"taken":[24],"into":[25],"consideration":[26],"SAR":[28,107],"applications.":[29],"Almost":[30],"all":[31],"the":[33,38,44,48,64,67,76,94,98,102,117,144,149,153,162,173,176,182,187,204,207],"previous":[34],"work":[35],"focus":[36],"on":[37,70],"scatter":[39,87,95,189],"point":[40,61,190],"extraction":[41,89],"to":[42,54,63,78,100,119,140,148,161],"depict":[43],"target;":[49],"however,":[50],"point-target":[52,81],"corresponds":[53,160],"region":[56],"rather":[57],"than":[58],"single":[60],"due":[62],"convolution":[65],"during":[66],"imaging.":[68],"Based":[69],"this":[71,124],"fact,":[72],"we":[73,126,165],"first":[74],"analyze":[75],"extent":[77],"how":[79],"spreads,":[82],"then":[83],"propose":[84],"novel":[86],"cluster":[88,96],"(SCE)":[90],"method,":[91],"and":[92],"utilize":[93],"as":[97,193,195],"feature":[99,145],"solve":[101],"airplane":[103],"problem":[105],"images.":[108],"In":[109],"practice,":[110],"there":[111],"often":[112],"exist":[113],"interfering":[114,163],"objects":[115],"near":[116],"be":[120],"classified.":[121],"To":[122],"overcome":[123],"issue,":[125],"design":[127],"reweighted":[129],"sparse":[130],"representation":[131,150,157],"(RSR)-based":[132],"automatic":[133],"purifying":[134],"method":[135,185,192],"by":[136],"assigning":[137],"weight":[139],"each":[141],"element":[142,154],"iteratively":[146],"according":[147],"error.":[151],"Since":[152],"with":[155],"large":[156],"error":[158],"always":[159],"objects,":[164],"give":[166],"it":[167],"small":[169],"weight,":[170],"consequently":[171],"suppressing":[172],"influence":[174],"interference.":[177],"Experimental":[178],"results":[179],"demonstrate":[180],"that":[181],"proposed":[183,208],"SCE":[184],"outperforms":[186],"traditional":[188],"extraction-based":[191],"well":[194],"some":[196],"state-of-the-art":[197],"methods.":[198],"comparison":[200],"result":[201],"also":[202],"validates":[203],"effectiveness":[205],"RSR":[209],"method.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
