{"id":"https://openalex.org/W4415482256","doi":"https://doi.org/10.1109/tcsvt.2025.3625079","title":"HySaDe-Mamba: A Mamba-Based Network for Hyperspectral Salient Object Detection","display_name":"HySaDe-Mamba: A Mamba-Based Network for Hyperspectral Salient Object Detection","publication_year":2025,"publication_date":"2025-10-23","ids":{"openalex":"https://openalex.org/W4415482256","doi":"https://doi.org/10.1109/tcsvt.2025.3625079"},"language":null,"primary_location":{"id":"doi:10.1109/tcsvt.2025.3625079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3625079","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Transactions on Circuits and Systems for Video Technology","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/A5085365060","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0001-5732-2973"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["School of Astronautics, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5732-2973","affiliations":[{"raw_affiliation_string":"School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100631049","display_name":"Huijie Zhang","orcid":"https://orcid.org/0000-0003-0640-0315"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huijie Zhang","raw_affiliation_strings":["School of Astronautics, the National Key Laboratory of High-Efficiency Earth-Space Round-Trip Transportation Technologies, and the National Key Laboratory of Integrated Air-Ground Navigation Technologies, Beihang University, Beijing, China","School of Astronautics, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Astronautics, the National Key Laboratory of High-Efficiency Earth-Space Round-Trip Transportation Technologies, and the National Key Laboratory of Integrated Air-Ground Navigation Technologies, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072050541","display_name":"Xiaoyan Luo","orcid":"https://orcid.org/0000-0002-7256-4329"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyan Luo","raw_affiliation_strings":["School of Astronautics, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7256-4329","affiliations":[{"raw_affiliation_string":"School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090932389","display_name":"Liheng Bian","orcid":"https://orcid.org/0000-0002-8016-0375"},"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":"Liheng Bian","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8016-0375","affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026486701","display_name":"Xiantong Zhen","orcid":"https://orcid.org/0000-0001-5213-0462"},"institutions":[{"id":"https://openalex.org/I4210135459","display_name":"United Imaging Healthcare (China)","ror":"https://ror.org/03qqw3m37","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210135459"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiantong Zhen","raw_affiliation_strings":["Central Research Institute, United Imaging Healthcare Company Ltd., Beijing, China","Central Research Institute, United Imaging Healthcare, Co., Ltd, China"],"raw_orcid":"https://orcid.org/0000-0001-5213-0462","affiliations":[{"raw_affiliation_string":"Central Research Institute, United Imaging Healthcare Company Ltd., Beijing, China","institution_ids":["https://openalex.org/I4210135459"]},{"raw_affiliation_string":"Central Research Institute, United Imaging Healthcare, Co., Ltd, China","institution_ids":["https://openalex.org/I4210135459"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25628647,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":"3","first_page":"3085","last_page":"3100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9672999978065491,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9672999978065491,"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":0.9656000137329102,"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":0.8396000266075134},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.7400000095367432},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6697999835014343},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.626800000667572},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5587999820709229},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5450000166893005},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5214999914169312},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5016000270843506}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8396000266075134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.743399977684021},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.7400000095367432},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6697999835014343},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.626800000667572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6161999702453613},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5587999820709229},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5450000166893005},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5214999914169312},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5016000270843506},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4542999863624573},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3928000032901764},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3880999982357025},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.37610000371932983},{"id":"https://openalex.org/C7545210","wikidata":"https://www.wikidata.org/wiki/Q838123","display_name":"Data redundancy","level":2,"score":0.34130001068115234},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.3375000059604645},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2879999876022339},{"id":"https://openalex.org/C176641082","wikidata":"https://www.wikidata.org/wiki/Q2446767","display_name":"Spectral signature","level":2,"score":0.28049999475479126},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.27790001034736633},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.2750000059604645},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26570001244544983},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.25609999895095825}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2025.3625079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3625079","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1513064999","https://openalex.org/W1627289996","https://openalex.org/W1901129140","https://openalex.org/W2059196018","https://openalex.org/W2069231830","https://openalex.org/W2082464775","https://openalex.org/W2128272608","https://openalex.org/W2160613239","https://openalex.org/W2164364459","https://openalex.org/W2546881260","https://openalex.org/W2562554626","https://openalex.org/W2612135493","https://openalex.org/W2760901445","https://openalex.org/W2782517596","https://openalex.org/W2792647011","https://openalex.org/W2792684107","https://openalex.org/W2808275385","https://openalex.org/W2809907875","https://openalex.org/W2810318480","https://openalex.org/W2909214391","https://openalex.org/W2910121883","https://openalex.org/W2917425247","https://openalex.org/W2938260698","https://openalex.org/W2961348656","https://openalex.org/W2963334022","https://openalex.org/W2989161706","https://openalex.org/W2998119008","https://openalex.org/W3002674187","https://openalex.org/W3025800305","https://openalex.org/W3113755791","https://openalex.org/W3122006940","https://openalex.org/W3138516171","https://openalex.org/W3161727022","https://openalex.org/W3168997536","https://openalex.org/W4213019189","https://openalex.org/W4304014270","https://openalex.org/W4321770461","https://openalex.org/W4380303870","https://openalex.org/W4384161798","https://openalex.org/W4385346076","https://openalex.org/W4387245349","https://openalex.org/W4392940557","https://openalex.org/W4399618753","https://openalex.org/W4399728165","https://openalex.org/W4401246713","https://openalex.org/W4401557909","https://openalex.org/W4402474640","https://openalex.org/W4402592576","https://openalex.org/W4402895010","https://openalex.org/W4403060848","https://openalex.org/W4403511252","https://openalex.org/W4403601086","https://openalex.org/W4404479756","https://openalex.org/W4404687897","https://openalex.org/W4404914866","https://openalex.org/W4406017180","https://openalex.org/W4407736685","https://openalex.org/W4409795928","https://openalex.org/W4410050224","https://openalex.org/W4410342144","https://openalex.org/W4412105550","https://openalex.org/W4412170690","https://openalex.org/W4414243662","https://openalex.org/W4414404693"],"related_works":[],"abstract_inverted_index":{"Hyperspectral":[0],"salient":[1],"object":[2],"detection":[3,145],"(HSOD)":[4],"aims":[5],"to":[6,56],"identify":[7],"visually":[8],"and":[9,26,34,92,120],"spectrally":[10],"distinctive":[11],"regions":[12],"in":[13,36,60,103],"hyperspectral":[14],"images":[15],"(HSIs).":[16],"However,":[17],"existing":[18],"HSOD":[19,48,137],"methods":[20],"often":[21],"suffer":[22],"from":[23],"spectral":[24,94,129],"redundancy":[25,59],"inefficient":[27],"spatial-spectral":[28,105],"modeling,":[29],"which":[30,69,109],"hinder":[31],"their":[32],"scalability":[33],"accuracy":[35,146],"complex":[37],"scenes.":[38],"To":[39],"tackle":[40],"these":[41],"challenges,":[42],"we":[43,62,86],"propose":[44,88],"HySaDe-Mamba,":[45],"a":[46,64,74,89,104],"novel":[47],"framework":[49],"built":[50],"upon":[51],"the":[52,81,99,127],"Mamba":[53,96],"architecture.":[54],"Specifically,":[55],"address":[57],"information":[58],"HSI,":[61],"design":[63],"spatial-enhanced":[65],"spectral-embedding":[66],"(SeSe)":[67],"module,":[68,97],"maps":[70],"high-dimensional":[71],"data":[72],"into":[73],"more":[75],"compact":[76,82],"but":[77,123],"effective":[78],"representation.":[79],"On":[80],"SeSe":[83],"representation":[84],"features,":[85],"further":[87],"Bi-scale":[90],"spatial":[91,114],"Bi-directional":[93],"(BsBd)":[95],"performing":[98],"selective":[100],"scanning":[101],"mechanism":[102],"hybrid,":[106],"end-to-end":[107],"way,":[108],"not":[110],"only":[111],"facilitates":[112],"comprehensive":[113],"structural":[115],"interaction":[116],"across":[117,147],"both":[118],"global":[119],"local":[121],"scales,":[122],"also":[124],"effectively":[125],"exploits":[126],"underlying":[128],"semantic":[130],"correlation.":[131],"Extensive":[132],"experiments":[133],"on":[134],"two":[135],"public":[136],"datasets":[138],"demonstrate":[139],"that":[140],"our":[141],"HySaDe-Mamba":[142],"achieves":[143],"state-of-the-art":[144],"seven":[148],"metrics,":[149],"while":[150],"maintaining":[151],"an":[152],"efficient":[153],"inference":[154],"speed":[155],"of":[156],"40.22":[157],"FPS.":[158],"The":[159],"source":[160],"code":[161],"is":[162],"publicly":[163],"available":[164],"at":[165],"https://github.com/Leezl/HySaDe-Mamba.":[166]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-23T00:00:00"}