{"id":"https://openalex.org/W7225326586","doi":"https://doi.org/10.3390/rs18213801","title":"Hyperspectral Video Object Segmentation Based on Spectral\u2013Spatial Interaction Enhancement and Adaptive Correlation Memory Selection","display_name":"Hyperspectral Video Object Segmentation Based on Spectral\u2013Spatial Interaction Enhancement and Adaptive Correlation Memory Selection","publication_year":2026,"publication_date":"2026-11-05","ids":{"openalex":"https://openalex.org/W7225326586","doi":"https://doi.org/10.3390/rs18213801"},"language":"en","primary_location":{"id":"doi:10.3390/rs18213801","doi":"https://doi.org/10.3390/rs18213801","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs18213801","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,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","jufo-1","norway-1","poland-100","russia-white-list-1","vabb-shw"],"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"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/rs18213801","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086974330","display_name":"Beibei Song","orcid":"https://orcid.org/0009-0003-7312-9788","observed_orcids":["https://orcid.org/0009-0003-7312-9788"]},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Beibei Song","raw_affiliation_strings":["School of Information Engineering, Chang\u2019an University, Xi\u2019an 710064, China"],"raw_orcid":"https://orcid.org/0009-0003-7312-9788","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Chang\u2019an University, Xi\u2019an 710064, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5160930096","display_name":"Yunfei Chen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunfei Chen","raw_affiliation_strings":["School of Information Engineering, Chang\u2019an University, Xi\u2019an 710064, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Chang\u2019an University, Xi\u2019an 710064, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5160867356","display_name":"Yuedong Tan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I58918642","display_name":"Sofia University \"St. Kliment Ohridski\"","ror":"https://ror.org/02jv3k292","country_code":"BG","type":"education","lineage":["https://openalex.org/I58918642"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Yuedong Tan","raw_affiliation_strings":["Institute for Computer Science, Artificial Intelligence and Technology (INSAIT), Sofia University St. Kliment Ohridski, 1784 Sofia, Bulgaria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Computer Science, Artificial Intelligence and Technology (INSAIT), Sofia University St. Kliment Ohridski, 1784 Sofia, Bulgaria","institution_ids":["https://openalex.org/I58918642"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102866876","display_name":"Wenfang Sun","orcid":"https://orcid.org/0009-0006-5929-8819","observed_orcids":["https://orcid.org/0009-0006-5929-8819"]},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenfang Sun","raw_affiliation_strings":["School of Aerospace Science and Technology, Xidian University, Xi\u2019an 710126, China"],"raw_orcid":"https://orcid.org/0009-0006-5929-8819","affiliations":[{"raw_affiliation_string":"School of Aerospace Science and Technology, Xidian University, Xi\u2019an 710126, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102866876"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":2700,"currency":"CHF","value_usd":3258},"apc_paid":{"value":2700,"currency":"CHF","value_usd":3258},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":"21","first_page":"3801","last_page":"3801"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.7440999746322632,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.7440999746322632,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.16779999434947968,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.023800000548362732,"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/segment-anything-model-2","display_name":"Segment Anything Model 2","score":0.9010000228881836},{"id":"https://openalex.org/keywords/temporal-memory","display_name":"temporal memory","score":0.7559999823570251},{"id":"https://openalex.org/keywords/near-infrared","display_name":"near-infrared","score":0.7480000257492065},{"id":"https://openalex.org/keywords/spectral-band-selection","display_name":"band selection","score":0.6179999709129333},{"id":"https://openalex.org/keywords/dynamic-scene-understanding","display_name":"dynamic scene analysis","score":0.4659999907016754}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8733000159263611},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8151999711990356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7687000036239624},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6660000085830688},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6122000217437744},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5647000074386597},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5012999773025513},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4422999918460846},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3596000075340271},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.3264999985694885},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.32600000500679016},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.32199999690055847},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.3183000087738037},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.31630000472068787},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.29980000853538513},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.2985000014305115},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.2757999897003174},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2619999945163727}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3390/rs18213801","doi":"https://doi.org/10.3390/rs18213801","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs18213801","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,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","jufo-1","norway-1","poland-100","russia-white-list-1","vabb-shw"],"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"}],"best_oa_location":{"id":"doi:10.3390/rs18213801","doi":"https://doi.org/10.3390/rs18213801","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs18213801","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,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","jufo-1","norway-1","poland-100","russia-white-list-1","vabb-shw"],"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":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W575921498","https://openalex.org/W2340897893","https://openalex.org/W2470139095","https://openalex.org/W2552531400","https://openalex.org/W2564998703","https://openalex.org/W2724418412","https://openalex.org/W2799157347","https://openalex.org/W2889986507","https://openalex.org/W2901380936","https://openalex.org/W2945231726","https://openalex.org/W2945241815","https://openalex.org/W2952222533","https://openalex.org/W2983376237","https://openalex.org/W3004182657","https://openalex.org/W3209954128","https://openalex.org/W4226083961","https://openalex.org/W4294663621","https://openalex.org/W4312396403","https://openalex.org/W4312510454","https://openalex.org/W4389568379","https://openalex.org/W4390498976","https://openalex.org/W4390873799","https://openalex.org/W4390874025","https://openalex.org/W4396830084","https://openalex.org/W4400722392","https://openalex.org/W4402013903","https://openalex.org/W4402753923","https://openalex.org/W4404089453","https://openalex.org/W4404971995","https://openalex.org/W4406661505","https://openalex.org/W4407217004","https://openalex.org/W4407507664","https://openalex.org/W4407737613","https://openalex.org/W4407737703","https://openalex.org/W4408345812","https://openalex.org/W4408445811","https://openalex.org/W4409154944","https://openalex.org/W4410491866","https://openalex.org/W4413147546","https://openalex.org/W4413359353","https://openalex.org/W4413478566","https://openalex.org/W4415797095","https://openalex.org/W4416582590","https://openalex.org/W7125591240","https://openalex.org/W7128635769","https://openalex.org/W7131354381","https://openalex.org/W7133224883","https://openalex.org/W7161382627","https://openalex.org/W7171668476","https://openalex.org/W7202385608"],"related_works":["https://openalex.org/W4407737613","https://openalex.org/W4307772628","https://openalex.org/W3207340150","https://openalex.org/W4414379539","https://openalex.org/W4293240431","https://openalex.org/W7077055293","https://openalex.org/W4380434643","https://openalex.org/W4403511248","https://openalex.org/W7117291186","https://openalex.org/W4392903539"],"abstract_inverted_index":{"Hyperspectral":[0],"imaging":[1,6],"(HSI)":[2],"is":[3],"an":[4,181],"important":[5],"modality":[7],"in":[8,197],"the":[9,94,167,171,178,207,234,239,246,252,255],"field":[10],"of":[11,16,170,209,254],"optical":[12],"remote":[13],"sensing,":[14],"capable":[15],"simultaneously":[17],"capturing":[18],"spatial":[19],"structures":[20],"and":[21,85,115,158,162,192,200,215,225,242,258,263],"continuous":[22],"spectral":[23,109,152,160],"responses":[24],"related":[25],"to":[26,149,195,269],"material":[27],"properties.":[28],"Therefore,":[29],"compared":[30],"with":[31,63,98,166],"conventional":[32],"red-green-blue":[33],"(RGB)":[34],"images,":[35],"it":[36],"can":[37],"provide":[38],"richer":[39],"representations":[40],"for":[41,55,102],"understanding":[42],"dynamic":[43],"scenes.":[44],"However,":[45],"most":[46],"existing":[47],"video":[48,61,78,127,272],"object":[49,79,128,273],"segmentation":[50,80,129,274],"methods":[51,237],"have":[52],"been":[53],"developed":[54,123],"RGB":[56,90,174],"videos,":[57],"while":[58],"high-quality":[59],"hyperspectral":[60,77,83,126,164,271],"datasets":[62],"frame-by-frame":[64],"pixel-level":[65,99],"annotations":[66,100],"remain":[67],"scarce.":[68],"To":[69],"address":[70],"this":[71,73,120],"gap,":[72],"study":[74],"constructed":[75],"a":[76,125,142],"dataset,":[81,121],"comprising":[82],"videos":[84,91],"their":[86],"corresponding":[87,172],"three-channel":[88],"false-color":[89,173],"derived":[92],"from":[93,156],"same":[95],"HSI":[96],"data,":[97],"provided":[101],"each":[103],"frame.":[104],"The":[105,139],"dataset":[106,257],"contains":[107],"three":[108],"subsets:":[110],"visible":[111],"(VIS),":[112],"near-infrared":[113,117],"(NIR),":[114],"red-edge":[116],"(RedNIR).":[118],"Using":[119],"we":[122],"SSAM-SAM2,":[124],"network":[130,140,179],"built":[131],"on":[132,238],"Segment":[133],"Anything":[134],"Model":[135],"2":[136],"(SAM":[137],"2).":[138],"includes":[141],"spectral\u2013spatial":[143,261],"interaction":[144],"enhancement":[145,262],"(SSIE)":[146],"module":[147,187],"designed":[148],"identify":[150],"informative":[151],"bands,":[153],"suppress":[154],"interference":[155],"redundant":[157,210],"noisy":[159],"channels,":[161],"integrate":[163],"cues":[165],"spatial-structure":[168],"features":[169],"images.":[175],"In":[176],"addition,":[177],"introduces":[180],"Adaptive":[182],"Correlation":[183],"Memory":[184],"Selection":[185],"(ACMS)":[186],"that":[188,231,260],"regulates":[189],"memory":[190,218,266],"sampling":[191],"selection":[193],"according":[194],"variations":[196],"target":[198,221],"state":[199],"inter-frame":[201],"feature":[202],"correlation.":[203],"This":[204],"design":[205],"reduces":[206],"influence":[208],"or":[211],"unreliable":[212],"historical":[213],"information":[214],"improves":[216],"temporal":[217,264],"reliability":[219],"under":[220,245],"deformation,":[222],"motion":[223],"variations,":[224],"background":[226],"interference.":[227],"Extensive":[228],"experiments":[229],"show":[230],"SSAM-SAM2":[232],"outperforms":[233],"selected":[235],"comparison":[236],"VIS,":[240],"NIR,":[241],"RedNIR":[243],"subsets":[244],"evaluated":[247],"settings.":[248],"These":[249],"results":[250],"demonstrate":[251],"value":[253],"proposed":[256],"indicate":[259],"adaptive":[265],"mechanisms":[267],"contribute":[268],"improving":[270],"performance.":[275]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-11-06T00:00:00"}