{"id":"https://openalex.org/W4224930757","doi":"https://doi.org/10.1109/icassp43922.2022.9746089","title":"Material-Guided Siamese Fusion Network for Hyperspectral Object Tracking","display_name":"Material-Guided Siamese Fusion Network for Hyperspectral Object Tracking","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4224930757","doi":"https://doi.org/10.1109/icassp43922.2022.9746089"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9746089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746089","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://hdl.handle.net/10072/417967","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028997406","display_name":"Zhuanfeng Li","orcid":"https://orcid.org/0009-0004-6967-4625"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuanfeng Li","raw_affiliation_strings":["Nanjing University of Science and Technology,School of Computer Science and Engineering,China","School of Computer Science and Engineering, Nanjing University of Science and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology,School of Computer Science and Engineering,China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033291716","display_name":"Fengchao Xiong","orcid":"https://orcid.org/0000-0002-9753-4919"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengchao Xiong","raw_affiliation_strings":["Nanjing University of Science and Technology,School of Computer Science and Engineering,China","School of Computer Science and Engineering, Nanjing University of Science and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology,School of Computer Science and Engineering,China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037595310","display_name":"Jianfeng Lu","orcid":"https://orcid.org/0000-0002-9190-507X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Lu","raw_affiliation_strings":["Nanjing University of Science and Technology,School of Computer Science and Engineering,China","School of Computer Science and Engineering, Nanjing University of Science and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology,School of Computer Science and Engineering,China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100781212","display_name":"Jun Zhou","orcid":"https://orcid.org/0000-0001-5822-8233"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jun Zhou","raw_affiliation_strings":["Griffith University,School of Information and Communication Technology,Australia","School of Information and Communication Technology, Griffith University, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Griffith University,School of Information and Communication Technology,Australia","institution_ids":["https://openalex.org/I11701301"]},{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059857918","display_name":"Yuntao Qian","orcid":"https://orcid.org/0000-0002-7418-5891"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuntao Qian","raw_affiliation_strings":["Zhejiang University,College of Computer Science,China","College of Computer Science, Zhejiang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,College of Computer Science,China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Computer Science, Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2809","last_page":"2813"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9988999962806702,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9988999962806702,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9987000226974487,"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":0.9814000129699707,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9138010740280151},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8147236108779907},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7093985080718994},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.62900710105896},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.6274927854537964},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5733448266983032},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5584095120429993},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.5533865094184875},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5478990077972412},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4877062737941742},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.44574135541915894},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4257551431655884},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.2309001088142395},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1275482177734375}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9138010740280151},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8147236108779907},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7093985080718994},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.62900710105896},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.6274927854537964},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5733448266983032},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5584095120429993},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.5533865094184875},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5478990077972412},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4877062737941742},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44574135541915894},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4257551431655884},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.2309001088142395},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1275482177734375},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"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},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp43922.2022.9746089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746089","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/417967","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/417967","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"}],"best_oa_location":{"id":"pmh:oai:research-repository.griffith.edu.au:10072/417967","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/417967","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.49000000953674316}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2031007444","https://openalex.org/W2118345389","https://openalex.org/W2163886442","https://openalex.org/W2194775991","https://openalex.org/W2599547527","https://openalex.org/W2770790879","https://openalex.org/W2790486454","https://openalex.org/W2798842862","https://openalex.org/W2898567522","https://openalex.org/W2963446712","https://openalex.org/W2963534981","https://openalex.org/W2964161477","https://openalex.org/W2966759264","https://openalex.org/W2993521160","https://openalex.org/W2998237070","https://openalex.org/W2999482976","https://openalex.org/W3035571898","https://openalex.org/W3089799197","https://openalex.org/W3094897602","https://openalex.org/W3160980664","https://openalex.org/W3163790991","https://openalex.org/W3170878188","https://openalex.org/W3184813465","https://openalex.org/W3185083830","https://openalex.org/W6746087922"],"related_works":["https://openalex.org/W1578117154","https://openalex.org/W2385949326","https://openalex.org/W2789220062","https://openalex.org/W2542256560","https://openalex.org/W2534746541","https://openalex.org/W35704881","https://openalex.org/W1487175407","https://openalex.org/W2068395580","https://openalex.org/W2146154945","https://openalex.org/W3036550512"],"abstract_inverted_index":{"Hyperspectral":[0],"videos":[1,11],"(HSVs)":[2],"have":[3],"more":[4],"potential":[5],"in":[6,44],"target":[7],"tracking":[8,46,60],"than":[9,39],"color":[10,87],"thanks":[12],"to":[13,24,61,67,75,102,120,176],"the":[14,68,77,122,138,159],"material":[15,172,180],"identification":[16],"capability":[17],"provided":[18],"by":[19],"abundant":[20],"spectral":[21],"bands.":[22],"Due":[23],"limited":[25],"HSVs":[26],"for":[27,57,151,186],"training,":[28],"most":[29],"current":[30],"hyperspectral":[31,58,80,93,110],"trackers":[32],"are":[33,174],"based":[34],"on":[35,86],"hand-crafted":[36],"features":[37,124,157],"rather":[38],"deeply":[40],"learned":[41],"ones,":[42],"resulting":[43],"poor":[45],"performance.":[47],"This":[48],"paper":[49],"introduces":[50],"a":[51,109,116,132,165],"material-guided":[52],"Siamese":[53,69],"fusion":[54,112],"network":[55],"(SiamF)":[56],"object":[59],"make":[62],"up":[63],"this":[64],"gap.":[65],"Belonging":[66],"tracker":[70,194],"family":[71],"and":[72,128,161,171,179],"SiamF":[73,90,107,185],"aims":[74],"model":[76],"appearance":[78,181],"of":[79,98,137,141,164],"objects":[81],"using":[82],"backbone":[83],"networks":[84],"trained":[85],"images.":[88],"Specifically,":[89],"splits":[91],"each":[92],"frame":[94],"into":[95,184],"multiple":[96],"groups":[97],"false-color":[99],"images":[100],"according":[101],"their":[103],"band":[104,129],"importance.":[105],"Then":[106],"employs":[108,147],"feature":[111,152],"(HFF)":[113],"module":[114],"with":[115],"dense":[117],"connection":[118],"architecture":[119],"integrate":[121],"extracted":[123],"from":[125],"different":[126],"layers":[127],"groups,":[130],"producing":[131],"multi-scale":[133],"multilevel":[134],"spatial-spectral":[135],"representation":[136],"targets.":[139],"Instead":[140],"direct":[142],"addition":[143],"or":[144],"concatenation,":[145],"HFF":[146],"global-local":[148],"channel":[149],"attention":[150],"fusion,":[153],"so":[154],"that":[155],"yielded":[156],"capture":[158],"global":[160],"local":[162],"structure":[163],"specific":[166],"object.":[167],"Moreover,":[168],"online":[169,188],"spatial":[170,178],"classifiers":[173],"developed":[175],"inject":[177],"changes":[182],"information":[183],"adaptively":[187],"tracking.":[189],"Experimental":[190],"results":[191],"demonstrate":[192],"our":[193],"outperforms":[195],"alternative":[196],"methods.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":10}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}