{"id":"https://openalex.org/W4295916866","doi":"https://doi.org/10.1109/lgrs.2022.3206719","title":"Infrared Small Target Detection With Patch Tensor Collaborative Sparse and Total Variation Constraint","display_name":"Infrared Small Target Detection With Patch Tensor Collaborative Sparse and Total Variation Constraint","publication_year":2022,"publication_date":"2022-09-15","ids":{"openalex":"https://openalex.org/W4295916866","doi":"https://doi.org/10.1109/lgrs.2022.3206719"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2022.3206719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3206719","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/A5060747081","display_name":"Guofeng Zhang","orcid":"https://orcid.org/0000-0002-0487-6312"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guofeng Zhang","raw_affiliation_strings":["School of Information Science and Engineering, Xinjiang University, Urumqi, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Xinjiang University, Urumqi, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075133420","display_name":"Askar Hamdulla","orcid":"https://orcid.org/0000-0002-2321-308X"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Askar Hamdulla","raw_affiliation_strings":["School of Information Science and Engineering, Xinjiang University, Urumqi, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Xinjiang University, Urumqi, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075551339","display_name":"Hongbing Ma","orcid":"https://orcid.org/0000-0002-1785-4024"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbing Ma","raw_affiliation_strings":["Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5060747081"],"corresponding_institution_ids":["https://openalex.org/I96908189"],"apc_list":null,"apc_paid":null,"fwci":3.0807,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.90980395,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","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/T12389","display_name":"Infrared Target Detection Methodologies","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/T12019","display_name":"Calibration and Measurement Techniques","score":0.9890999794006348,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/robustness","display_name":"Robustness (evolution)","score":0.6687458753585815},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5330518484115601},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5251153111457825},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.473114937543869},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.45949840545654297},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4540451765060425},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4422200918197632},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.433242529630661},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4093095660209656},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.40712323784828186},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39561933279037476},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3835292458534241}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6687458753585815},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5330518484115601},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5251153111457825},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.473114937543869},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.45949840545654297},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4540451765060425},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4422200918197632},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.433242529630661},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4093095660209656},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.40712323784828186},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39561933279037476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3835292458534241},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2022.3206719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3206719","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":[{"score":0.5400000214576721,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G4132105060","display_name":null,"funder_award_id":"61563049","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4401023024","display_name":null,"funder_award_id":"BNR2019TD01022","funder_id":"https://openalex.org/F4320329777","funder_display_name":"Beijing National Research Center For Information Science And Technology"},{"id":"https://openalex.org/G7199817203","display_name":null,"funder_award_id":"SAST2019-048","funder_id":"https://openalex.org/F4320330207","funder_display_name":"Shanghai Aerospace Science and Technology Innovation Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329777","display_name":"Beijing National Research Center For Information Science And Technology","ror":null},{"id":"https://openalex.org/F4320330207","display_name":"Shanghai Aerospace Science and Technology Innovation Foundation","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1978993121","https://openalex.org/W2041560658","https://openalex.org/W2117092649","https://openalex.org/W2341998679","https://openalex.org/W2604768956","https://openalex.org/W2790021535","https://openalex.org/W2900678331","https://openalex.org/W2912919760","https://openalex.org/W2953583213","https://openalex.org/W2991758591","https://openalex.org/W3087883562","https://openalex.org/W3110352253","https://openalex.org/W3131633592","https://openalex.org/W3145563919","https://openalex.org/W3216985839","https://openalex.org/W4212863773","https://openalex.org/W4220966157","https://openalex.org/W4302603755"],"related_works":["https://openalex.org/W2990531703","https://openalex.org/W1983610137","https://openalex.org/W1972656095","https://openalex.org/W3047965787","https://openalex.org/W2808167426","https://openalex.org/W1945544474","https://openalex.org/W2738244484","https://openalex.org/W2115296911","https://openalex.org/W1642978978","https://openalex.org/W2356017157"],"abstract_inverted_index":{"Sparse":[0],"and":[1,26,85,115,130,143,164,176,180],"low-rank":[2,15,53,129],"modeling":[3],"has":[4,177],"shown":[5],"the":[6,18,45,56,63,67,75,91,117,158,162,167],"powerful":[7],"describing":[8,104],"abilities":[9],"to":[10,32,79,81,122,170],"express":[11],"small":[12,108,126],"targets;":[13],"however,":[14],"model":[16,47,160],"exists":[17],"problem":[19],"of":[20,55,93,103,107,119,153,166,173],"insufficient":[21],"rank":[22],"approximation":[23,42],"deviation":[24],"ability":[25],"excessive":[27],"shrinkage,":[28],"which":[29],"will":[30],"lead":[31],"inaccurate":[33],"background":[34,57,86,94,120],"estimation.":[35],"In":[36,62,90],"this":[37],"letter,":[38],"a":[39,150,171],"new":[40],"nonconvex":[41],"function":[43],"using":[44],"Gaussian":[46],"is":[48,72,100],"built":[49],"toward":[50],"deeply":[51],"excavating":[52],"information":[54],"as":[58,60],"much":[59],"possible.":[61],"sparse":[64,131],"collaborative":[65],"representation,":[66],"local":[68],"prior":[69],"confidence":[70],"(LPC)":[71],"integrated":[73],"into":[74],"target":[76,83],"structure":[77],"tensor":[78],"maximum":[80],"distinguish":[82],"region":[84],"edge":[87],"more":[88,113],"accurately.":[89],"process":[92],"restoration,":[95],"total":[96],"variation":[97,106],"constraint":[98],"(TVC)":[99],"employed":[101],"apropos":[102],"gray":[105],"targets":[109],"in":[110],"complex":[111,174],"backgrounds":[112],"precisely":[114],"improving":[116],"accuracy":[118],"restoration":[121],"further":[123],"perfectly":[124],"recover":[125],"targets.":[127],"The":[128],"recovery":[132],"algorithm":[133,169],"engages":[134],"alternating":[135],"direction":[136],"multiplier":[137],"method":[138],"(ADMM)":[139],"for":[140],"iterative":[141],"calculation":[142],"solution.":[144],"Compared":[145],"with":[146],"advanced":[147],"optimal":[148],"algorithms,":[149],"great":[151],"number":[152],"experimental":[154],"results":[155],"show":[156],"that":[157],"proposed":[159],"improves":[161],"adaptability":[163],"robustness":[165],"detection":[168],"variety":[172],"scenes,":[175],"lasting":[178],"vitality":[179],"high-application":[181],"value.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
