{"id":"https://openalex.org/W4401358048","doi":"https://doi.org/10.1109/jstars.2024.3439560","title":"Hyperspectral Target Detection Based on Prior Spectral Perception and Local Graph Fusion","display_name":"Hyperspectral Target Detection Based on Prior Spectral Perception and Local Graph Fusion","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401358048","doi":"https://doi.org/10.1109/jstars.2024.3439560"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2024.3439560","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3439560","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/jstars.2024.3439560","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100775475","display_name":"Xiaobin Zhao","orcid":"https://orcid.org/0000-0002-9828-1976"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobin Zhao","raw_affiliation_strings":["Beijing Key Laboratory of Fractional Signals and Systems, School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9828-1976","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Fractional Signals and Systems, School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049316142","display_name":"Jun Huang","orcid":"https://orcid.org/0000-0002-2022-5747"},"institutions":[{"id":"https://openalex.org/I92178344","display_name":"Anhui University of Technology","ror":"https://ror.org/02qdtrq21","country_code":"CN","type":"education","lineage":["https://openalex.org/I92178344"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Huang","raw_affiliation_strings":["Anhui Engineering Research Center for Intelligent Applications and Security of Industrial Internet, Anhui University of Technology, Ma&#x0027;anshan, China"],"raw_orcid":"https://orcid.org/0000-0002-2022-5747","affiliations":[{"raw_affiliation_string":"Anhui Engineering Research Center for Intelligent Applications and Security of Industrial Internet, Anhui University of Technology, Ma&#x0027;anshan, China","institution_ids":["https://openalex.org/I92178344"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009536067","display_name":"Yunquan Gao","orcid":"https://orcid.org/0000-0003-0678-307X"},"institutions":[{"id":"https://openalex.org/I92178344","display_name":"Anhui University of Technology","ror":"https://ror.org/02qdtrq21","country_code":"CN","type":"education","lineage":["https://openalex.org/I92178344"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunquan Gao","raw_affiliation_strings":["Anhui Engineering Research Center for Intelligent Applications and Security of Industrial Internet, Anhui University of Technology, Ma&#x0027;anshan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Engineering Research Center for Intelligent Applications and Security of Industrial Internet, Anhui University of Technology, Ma&#x0027;anshan, China","institution_ids":["https://openalex.org/I92178344"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039540933","display_name":"Qingwang Wang","orcid":"https://orcid.org/0000-0001-5820-5357"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingwang Wang","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0001-5820-5357","affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":11.1177,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.98685674,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"17","issue":null,"first_page":"13936","last_page":"13948"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9969000220298767,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8977166414260864},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7424414157867432},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6790666580200195},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6005905866622925},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4962976574897766},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3897833228111267}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8977166414260864},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7424414157867432},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6790666580200195},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6005905866622925},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4962976574897766},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3897833228111267},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2024.3439560","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3439560","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d349c585ee3a4cbea89a622a91e37c9a","is_oa":true,"landing_page_url":"https://doaj.org/article/d349c585ee3a4cbea89a622a91e37c9a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 13936-13948 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2024.3439560","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3439560","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.5299999713897705}],"awards":[{"id":"https://openalex.org/G1632729390","display_name":null,"funder_award_id":"2023M740240","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W625476304","https://openalex.org/W1872412942","https://openalex.org/W1996550590","https://openalex.org/W2017014096","https://openalex.org/W2026918110","https://openalex.org/W2062741922","https://openalex.org/W2082600204","https://openalex.org/W2117741752","https://openalex.org/W2118996198","https://openalex.org/W2150347412","https://openalex.org/W2154236340","https://openalex.org/W2164598857","https://openalex.org/W2344173806","https://openalex.org/W2972480129","https://openalex.org/W3008839601","https://openalex.org/W3013131247","https://openalex.org/W3021150190","https://openalex.org/W3091247454","https://openalex.org/W3111977586","https://openalex.org/W3112037842","https://openalex.org/W3120451664","https://openalex.org/W3145049705","https://openalex.org/W3153249728","https://openalex.org/W3162634104","https://openalex.org/W3181727745","https://openalex.org/W3189014236","https://openalex.org/W3199411725","https://openalex.org/W4210541032","https://openalex.org/W4214751062","https://openalex.org/W4225582357","https://openalex.org/W4226070402","https://openalex.org/W4226239104","https://openalex.org/W4285264169","https://openalex.org/W4294982787","https://openalex.org/W4296558668","https://openalex.org/W4312796128","https://openalex.org/W4312845279","https://openalex.org/W4318707911","https://openalex.org/W4322772034","https://openalex.org/W4323065005","https://openalex.org/W4323661854","https://openalex.org/W4376607587","https://openalex.org/W4378979722","https://openalex.org/W4383428244","https://openalex.org/W4385489675","https://openalex.org/W4386025596","https://openalex.org/W4386025649","https://openalex.org/W4386858181","https://openalex.org/W4388240256","https://openalex.org/W4389104899","https://openalex.org/W4389161200","https://openalex.org/W4390873130","https://openalex.org/W4390873265","https://openalex.org/W4391970724","https://openalex.org/W4392824157","https://openalex.org/W4392939636","https://openalex.org/W4394938929","https://openalex.org/W4395096416","https://openalex.org/W4395661414","https://openalex.org/W4396238884","https://openalex.org/W4397026193","https://openalex.org/W4398187596","https://openalex.org/W4399401248","https://openalex.org/W4400489012","https://openalex.org/W6677508755"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"With":[0],"the":[1,35,59,71,86,100,114,120,140,178,193,196,205,225],"development":[2],"of":[3,41,85,102,131,142,170,195],"hyperspectral":[4,7,21],"sensing":[5],"technology,":[6],"target":[8,17,22,48,54,74,89,106,115,163,179],"detection":[9,23,49,55,111,149,180,210],"technology":[10],"plays":[11],"an":[12],"important":[13],"role":[14],"in":[15,219],"remote":[16],"detection.":[18,164],"However,":[19],"existing":[20,213],"models":[24],"are":[25,189,222],"poorly":[26],"adapted":[27],"to":[28,46,152,161,176,191],"complex":[29],"backgrounds":[30],"and":[31,63,88,95,109,133,145,154,172,185],"mainly":[32],"focus":[33],"on":[34,58,105,119,148],"spectral":[36,61,90,103,171],"domain,":[37],"making":[38],"less":[39],"use":[40,130,169],"spatial":[42,135,173],"structure":[43,174],"information":[44,91,175],"leading":[45],"low":[47],"rates.":[50],"Therefore,":[51],"a":[52],"new":[53],"algorithm":[56,207],"based":[57,118],"prior":[60,72],"perception":[62],"local":[64,93],"graph":[65,123],"fusion":[66,158],"(SPLGF)":[67],"is":[68,77,124,159,202],"proposed.":[69,125],"Firstly,":[70],"spectrum-guided":[73],"extraction":[75],"method":[76,80],"established.":[78],"This":[79,126],"can":[81,138,166],"take":[82],"full":[83,129,168],"advantage":[84],"background":[87],"by":[92],"inner":[94],"outer":[96],"window":[97],"linkage,":[98],"reduce":[99,139],"impact":[101],"variability":[104],"acquisition":[107],"performance,":[108],"improve":[110,177],"stability.":[112],"Secondly,":[113],"enhancement":[116],"strategy":[117],"Gabor":[121],"multi-feature":[122],"technique":[127],"makes":[128],"multi-directional":[132],"multi-scale":[134],"information,":[136],"which":[137],"influence":[141],"brightness,":[143],"contrast":[144],"amplitude":[146],"variation":[147],"performance":[150],"due":[151],"light":[153],"angle.":[155],"Finally,":[156],"spatial-spectral":[157],"executed":[160],"achieve":[162],"It":[165],"make":[167],"effect.":[181],"Publicly":[182],"available":[183],"datasets":[184,188],"real":[186],"collected":[187],"adopted":[190],"check":[192],"validity":[194],"proposed":[197,206],"method.":[198],"After":[199],"comparison,":[200],"it":[201],"found":[203],"that":[204],"has":[208],"better":[209],"effect":[211],"than":[212],"baseline":[214],"methods.":[215],"The":[216],"maximum":[217],"improvement":[218],"AUC":[220],"values":[221],"16.56%-88.16%":[223],"across":[224],"eight":[226],"datasets.":[227]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":32},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
