{"id":"https://openalex.org/W2601558157","doi":"https://doi.org/10.1109/lgrs.2017.2669945","title":"Target Detection in High-Resolution SAR Images via Searching for Part Models","display_name":"Target Detection in High-Resolution SAR Images via Searching for Part Models","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2601558157","doi":"https://doi.org/10.1109/lgrs.2017.2669945","mag":"2601558157"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2017.2669945","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2017.2669945","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":null,"display_name":"Haiyi Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyi Yang","raw_affiliation_strings":["School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zongjie Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongjie Cao","raw_affiliation_strings":["School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yiming Pi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yiming Pi","raw_affiliation_strings":["Department of Electrical Engineering, University of Electrical Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Electrical Science and Technology of China, Chengdu, China","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Shuo Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Liu","raw_affiliation_strings":["School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2706,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.61735805,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"14","issue":"5","first_page":"664","last_page":"668"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9997000098228455,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9976000189781189,"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/hierarchy","display_name":"Hierarchy","score":0.8722547292709351},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.8049812912940979},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7181255221366882},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6228180527687073},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.549460232257843},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5383620858192444},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.49115821719169617},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4593011140823364},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4337371587753296}],"concepts":[{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.8722547292709351},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.8049812912940979},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7181255221366882},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6228180527687073},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.549460232257843},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5383620858192444},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.49115821719169617},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4593011140823364},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4337371587753296},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2017.2669945","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2017.2669945","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":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2019178979","https://openalex.org/W2036989445","https://openalex.org/W2042689992","https://openalex.org/W2053699985","https://openalex.org/W2088049833","https://openalex.org/W2094236270","https://openalex.org/W2111430017","https://openalex.org/W2116507137","https://openalex.org/W2118382442","https://openalex.org/W2151477007","https://openalex.org/W2168356304","https://openalex.org/W2181067773","https://openalex.org/W2247554322","https://openalex.org/W2291663052","https://openalex.org/W2313666604","https://openalex.org/W2341861041"],"related_works":["https://openalex.org/W2365264209","https://openalex.org/W2509431957","https://openalex.org/W2026999166","https://openalex.org/W3020924181","https://openalex.org/W2885881666","https://openalex.org/W1992685502","https://openalex.org/W4211007821","https://openalex.org/W2802395037","https://openalex.org/W1996802783","https://openalex.org/W2117799245"],"abstract_inverted_index":{"In":[0,43],"high-resolution":[1],"synthetic":[2],"aperture":[3],"radar":[4],"(SAR)":[5],"images,":[6],"targets":[7,141],"are":[8,79,92],"often":[9,48],"spatially":[10],"spread,":[11],"and":[12,53,97,145,167],"some":[13],"separated":[14,38,51,148],"regions":[15,39,149],"of":[16,61,70,89,99,111,127,140,150],"one":[17,41,151],"target":[18,27,152],"may":[19],"be":[20,29],"detected":[21],"as":[22],"different":[23,125,138,165],"potential":[24],"targets.":[25],"The":[26,85,105],"should":[28],"represented":[30],"by":[31,161],"a":[32,46,50,58],"part":[33,47,55],"model":[34,56],"to":[35,142],"combine":[36],"the":[37,54,62,66,74,102,109,114,124,128,134,147,154],"into":[40],"target.":[42],"this":[44],"letter,":[45],"means":[49],"region,":[52],"obtains":[57],"hierarchical":[59],"combination":[60],"other":[63],"parts.":[64],"Moreover,":[65],"bottom":[67,103],"hierarchy":[68,87,107],"consists":[69,88],"strong":[71],"scatters":[72,100,169],"in":[73,101,113,130,153],"local":[75],"SAR":[76,162],"image,":[77],"which":[78,91],"searched":[80],"based":[81,94,122],"on":[82,95,123],"compressed":[83],"intensities.":[84],"middle":[86,115],"parts,":[90],"generated":[93],"connectivity":[96,170],"similarity":[98],"hierarchy.":[104,116,132,156],"top":[106,155],"delineates":[108],"relationship":[110],"parts":[112],"A":[117],"search":[118],"method":[119],"is":[120,159],"designed":[121],"features":[126],"elements":[129],"each":[131],"Consequently,":[133],"proposed":[135],"algorithm":[136,158],"combines":[137],"traits":[139],"improve":[143],"detection,":[144],"unites":[146],"This":[157],"validated":[160],"images":[163],"with":[164],"resolutions":[166],"scenes.":[168]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}