{"id":"https://openalex.org/W4404836673","doi":"https://doi.org/10.3390/rs16234482","title":"Hyperspectral Object Detection Based on Spatial\u2013Spectral Fusion and Visual Mamba","display_name":"Hyperspectral Object Detection Based on Spatial\u2013Spectral Fusion and Visual Mamba","publication_year":2024,"publication_date":"2024-11-29","ids":{"openalex":"https://openalex.org/W4404836673","doi":"https://doi.org/10.3390/rs16234482"},"language":"en","primary_location":{"id":"doi:10.3390/rs16234482","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16234482","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"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/10.3390/rs16234482","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100446273","display_name":"Wenjun Li","orcid":"https://orcid.org/0000-0002-8518-2290"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjun Li","raw_affiliation_strings":["College of Transportation, Jilin University, Changchun 130015, China"],"affiliations":[{"raw_affiliation_string":"College of Transportation, Jilin University, Changchun 130015, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109298164","display_name":"Fuqiang Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuqiang Yuan","raw_affiliation_strings":["College of Transportation, Jilin University, Changchun 130015, China"],"affiliations":[{"raw_affiliation_string":"College of Transportation, Jilin University, Changchun 130015, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101530735","display_name":"Hongkun Zhang","orcid":"https://orcid.org/0000-0001-6159-0890"},"institutions":[{"id":"https://openalex.org/I4392738231","display_name":"State Key Laboratory of Automotive Simulation and Control","ror":"https://ror.org/00b67z867","country_code":null,"type":"facility","lineage":["https://openalex.org/I194450716","https://openalex.org/I4392738231"]},{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongkun Zhang","raw_affiliation_strings":["State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4392738231"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101662648","display_name":"Zheng Lv","orcid":"https://orcid.org/0009-0004-8172-6862"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwen Lv","raw_affiliation_strings":["School of Communication Engineering, Jilin University, Changchun 130012, China"],"affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Jilin University, Changchun 130012, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058722802","display_name":"Jian Wu","orcid":"https://orcid.org/0000-0003-4271-1313"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Beiqi Wu","raw_affiliation_strings":["College of Transportation, Jilin University, Changchun 130015, China"],"affiliations":[{"raw_affiliation_string":"College of Transportation, Jilin University, Changchun 130015, China","institution_ids":["https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101530735"],"corresponding_institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4392738231"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.3679,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.90325353,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"16","issue":"23","first_page":"4482","last_page":"4482"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9980999827384949,"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":0.9959999918937683,"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":0.8320192098617554},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4862288534641266},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.48442962765693665},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4705743193626404},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4370502233505249},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4220961034297943},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41859710216522217},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2636517882347107}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8320192098617554},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4862288534641266},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.48442962765693665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4705743193626404},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4370502233505249},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4220961034297943},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41859710216522217},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2636517882347107},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16234482","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16234482","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:697f361e946e4bee9e1927510b406742","is_oa":true,"landing_page_url":"https://doaj.org/article/697f361e946e4bee9e1927510b406742","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 23, p 4482 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16234482","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16234482","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":76,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1965061537","https://openalex.org/W1992961908","https://openalex.org/W2009539575","https://openalex.org/W2018482939","https://openalex.org/W2033888020","https://openalex.org/W2047870694","https://openalex.org/W2080353605","https://openalex.org/W2097900616","https://openalex.org/W2166923144","https://openalex.org/W2171521847","https://openalex.org/W2193145675","https://openalex.org/W2295576075","https://openalex.org/W2592141703","https://openalex.org/W2754507318","https://openalex.org/W2808098982","https://openalex.org/W2900199428","https://openalex.org/W2912834795","https://openalex.org/W2963037989","https://openalex.org/W2963351448","https://openalex.org/W2971007343","https://openalex.org/W2972480129","https://openalex.org/W2989604896","https://openalex.org/W3034573343","https://openalex.org/W3084696099","https://openalex.org/W3092462694","https://openalex.org/W3092663126","https://openalex.org/W3105357426","https://openalex.org/W3106250896","https://openalex.org/W3122270904","https://openalex.org/W3131451942","https://openalex.org/W3131500599","https://openalex.org/W3138516171","https://openalex.org/W3199351457","https://openalex.org/W3214821343","https://openalex.org/W4296339430","https://openalex.org/W4307772628","https://openalex.org/W4312743284","https://openalex.org/W4312960790","https://openalex.org/W4313007769","https://openalex.org/W4381198783","https://openalex.org/W4386025847","https://openalex.org/W4386075524","https://openalex.org/W4386075553","https://openalex.org/W4387490603","https://openalex.org/W4387717517","https://openalex.org/W4389879928","https://openalex.org/W4390187445","https://openalex.org/W4390357064","https://openalex.org/W4390669481","https://openalex.org/W4390691874","https://openalex.org/W4390871554","https://openalex.org/W4392380908","https://openalex.org/W4392903274","https://openalex.org/W4393079388","https://openalex.org/W4393984611","https://openalex.org/W4394596593","https://openalex.org/W4395010108","https://openalex.org/W4395017736","https://openalex.org/W4400279352","https://openalex.org/W4401557909","https://openalex.org/W4401634048","https://openalex.org/W4402754006","https://openalex.org/W4403299547","https://openalex.org/W6739901393","https://openalex.org/W6859652319","https://openalex.org/W6860619612","https://openalex.org/W6860981022","https://openalex.org/W6861342692","https://openalex.org/W6863163374","https://openalex.org/W6863540938","https://openalex.org/W6864200687","https://openalex.org/W6864724480","https://openalex.org/W6870427128","https://openalex.org/W6870857408"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190"],"abstract_inverted_index":{"Hyperspectral":[0],"object-detection":[1,57,73],"algorithms":[2,69],"based":[3,100],"on":[4,20,101],"deep":[5],"learning":[6],"have":[7],"been":[8],"receiving":[9],"increasing":[10],"attention":[11],"due":[12],"to":[13,16,38,67,76,105,121,139],"their":[14,28],"ability":[15],"operate":[17],"without":[18],"relying":[19],"prior":[21],"spectral":[22,44,81,116,130],"information":[23,45],"about":[24],"the":[25,63,78,106,123,154],"target":[26],"and":[27,43,70,82,117,129],"strong":[29],"real-time":[30],"inference":[31],"performance.":[32],"However,":[33],"current":[34],"methods":[35],"are":[36],"unable":[37],"efficiently":[39],"extract":[40],"both":[41,115],"spatial":[42,83,102,118,128,142],"from":[46],"hyperspectral":[47,56,72,108,111],"image":[48],"data":[49,112],"simultaneously.":[50],"In":[51],"this":[52],"study,":[53],"an":[54,87],"innovative":[55,88],"algorithm":[58],"is":[59],"proposed":[60],"that":[61,113],"improves":[62],"detection":[64],"accuracy":[65],"compared":[66],"benchmark":[68],"state-of-the-art":[71],"algorithms.":[74],"Specifically,":[75],"achieve":[77],"integration":[79],"of":[80,126,156],"information,":[84],"we":[85,132],"propose":[86],"edge-preserving":[89,97],"dimensionality":[90,98],"reduction":[91],"(EPDR)":[92],"module.":[93],"This":[94],"module":[95,145],"applies":[96],"reduction,":[99],"texture-weighted":[103],"fusion,":[104],"raw":[107],"data,":[109,131],"producing":[110],"integrate":[114,133],"information.":[119],"Subsequently,":[120],"enhance":[122],"network\u2019s":[124],"perception":[125],"aggregated":[127],"a":[134,141],"CNN":[135],"with":[136,147],"Visual":[137],"Mamba":[138],"construct":[140],"feature":[143],"enhancement":[144],"(SFEM)":[146],"linear":[148],"complexity.":[149],"The":[150],"experimental":[151],"results":[152],"demonstrate":[153],"effectiveness":[155],"our":[157],"method.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
