{"id":"https://openalex.org/W4399168738","doi":"https://doi.org/10.1109/tgrs.2024.3407206","title":"Exploring Multi-Timestep Multi-Stage Diffusion Features for Hyperspectral Image Classification","display_name":"Exploring Multi-Timestep Multi-Stage Diffusion Features for Hyperspectral Image Classification","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399168738","doi":"https://doi.org/10.1109/tgrs.2024.3407206"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3407206","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3407206","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","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/A5106698605","display_name":"Jingyi Zhou","orcid":"https://orcid.org/0009-0005-6967-0090"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyi Zhou","raw_affiliation_strings":["School of Information Science and Technology, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0005-6967-0090","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020309830","display_name":"Jiamu Sheng","orcid":"https://orcid.org/0009-0001-6073-8723"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiamu Sheng","raw_affiliation_strings":["Academy for Engineering and Technology, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0001-6073-8723","affiliations":[{"raw_affiliation_string":"Academy for Engineering and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100729335","display_name":"Peng Ye","orcid":"https://orcid.org/0000-0002-5802-465X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Ye","raw_affiliation_strings":["School of Information Science and Technology, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102013595","display_name":"Jiayuan Fan","orcid":"https://orcid.org/0000-0001-7494-0255"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayuan Fan","raw_affiliation_strings":["Academy for Engineering and Technology, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7494-0255","affiliations":[{"raw_affiliation_string":"Academy for Engineering and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100604494","display_name":"Tong He","orcid":"https://orcid.org/0000-0003-2772-9320"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong He","raw_affiliation_strings":["Shanghai Artificial Intelligence Laboratory, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-2772-9320","affiliations":[{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory, Shanghai, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4391012619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059575276","display_name":"Bin Wang","orcid":"https://orcid.org/0000-0003-4748-6426"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Wang","raw_affiliation_strings":["School of Information Science and Technology, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-4748-6426","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021220108","display_name":"Tao Chen","orcid":"https://orcid.org/0000-0002-0779-9818"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Chen","raw_affiliation_strings":["School of Information Science and Technology, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-0779-9818","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.6001,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.97049194,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9307000041007996,"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":0.9307000041007996,"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":0.8462539911270142},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6435036659240723},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5784655809402466},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5486559867858887},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.5173506140708923},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5017800331115723},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4953664541244507},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3397238850593567},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.22524115443229675}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8462539911270142},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6435036659240723},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5784655809402466},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5486559867858887},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.5173506140708923},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5017800331115723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4953664541244507},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3397238850593567},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.22524115443229675},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3407206","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3407206","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3977413633","display_name":"\u5b50\u7c7b\u611f\u77e5\u6df1\u5ea6\u5b66\u4e60\u7406\u8bba\u53ca\u5176\u5e94\u7528\u7814\u7a76","funder_award_id":"62071127","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5491202952","display_name":null,"funder_award_id":"23ZR1402900","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"},{"id":"https://openalex.org/G7626924423","display_name":null,"funder_award_id":"62101137","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G870971120","display_name":null,"funder_award_id":"2022ZD0160300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W2162698522","https://openalex.org/W2752782242","https://openalex.org/W2753248899","https://openalex.org/W2755992512","https://openalex.org/W2757208835","https://openalex.org/W2764276316","https://openalex.org/W2782517596","https://openalex.org/W2799390666","https://openalex.org/W2922509574","https://openalex.org/W2940678725","https://openalex.org/W2942454403","https://openalex.org/W2952956606","https://openalex.org/W2966358285","https://openalex.org/W2994639710","https://openalex.org/W3012135036","https://openalex.org/W3095567726","https://openalex.org/W3105298104","https://openalex.org/W3133055443","https://openalex.org/W3155072588","https://openalex.org/W3167788848","https://openalex.org/W3180196270","https://openalex.org/W3204647170","https://openalex.org/W3205614732","https://openalex.org/W3214821343","https://openalex.org/W3216860461","https://openalex.org/W4210794570","https://openalex.org/W4214664134","https://openalex.org/W4225630686","https://openalex.org/W4289752563","https://openalex.org/W4296339430","https://openalex.org/W4312497550","https://openalex.org/W4313142698","https://openalex.org/W4320339642","https://openalex.org/W4327808525","https://openalex.org/W4386275830","https://openalex.org/W4390057309","https://openalex.org/W4390873429","https://openalex.org/W6678174250","https://openalex.org/W6679045638","https://openalex.org/W6684809622","https://openalex.org/W6765775151","https://openalex.org/W6779823529","https://openalex.org/W6788990321","https://openalex.org/W6795288823","https://openalex.org/W6795986329","https://openalex.org/W6805335523","https://openalex.org/W6805547681","https://openalex.org/W6859494105"],"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/W2070598848","https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190","https://openalex.org/W1991437568"],"abstract_inverted_index":{"The":[0,177,250],"effectiveness":[1],"of":[2,21,44,69,123,170,189,210,217],"spectral-spatial":[3,46],"feature":[4,90,157,183],"learning":[5,91],"is":[6,112,128,152,180],"crucial":[7],"for":[8,99,102,166,198,214,240],"the":[9,26,37,42,64,78,103,109,121,132,161,168,187,206,211,231,245],"hyperspectral":[10],"image":[11],"(HSI)":[12],"classification":[13,54,101],"task.":[14],"Diffusion":[15,97],"models,":[16,24],"as":[17],"a":[18,87],"new":[19],"class":[20,153],"groundbreaking":[22],"generative":[23],"have":[25],"ability":[27],"to":[28,119,130,192],"learn":[29],"both":[30],"contextual":[31,71],"semantics":[32,72],"and":[33,67,73,126,139,163,173,201,208,230],"textual":[34,74],"details":[35],"from":[36],"distinct":[38],"timestep":[39,182,196],"dimension,":[40],"enabling":[41],"modeling":[43],"complex":[45],"relations":[47],"in":[48,77],"HSIs.":[49],"However,":[50],"existing":[51],"diffusion-based":[52,89],"HSI":[53,100,117,219,228,241],"methods":[55,239],"only":[56],"utilize":[57],"manually":[58],"selected":[59],"single-timestep":[60],"single-stage":[61],"features,":[62,144],"limiting":[63],"full":[65],"exploration":[66],"exploitation":[68],"rich":[70],"information":[75],"hidden":[76],"diffusion":[79,110,135],"model.":[80],"To":[81,137],"address":[82],"this":[83],"issue,":[84],"we":[85],"propose":[86],"novel":[88],"framework":[92,213],"that":[93,234],"explores":[94],"Multi-Timestep":[95],"Multi-Stage":[96],"features":[98,172,191,197],"first":[104,113],"time,":[105],"called":[106],"MTMSD.":[107],"Specifically,":[108],"model":[111],"pretrained":[114],"with":[115,160,186],"unlabeled":[116,124],"patches":[118],"mine":[120],"connotation":[122],"data,":[125],"then":[127],"used":[129],"extract":[131],"multi-timestep":[133,142],"multi-stage":[134,143,156,171],"features.":[136],"effectively":[138],"efficiently":[140],"leverage":[141],"two":[145],"strategies":[146,204],"are":[147,223,252],"further":[148],"developed.":[149],"One":[150],"strategy":[151],"&":[154],"timestep-oriented":[155],"purification":[158],"module":[159,185],"inter-class":[162],"inter-timestep":[164],"prior":[165],"reducing":[167],"redundancy":[169],"alleviating":[174],"memory":[175],"constraints.":[176],"other":[178],"one":[179],"selective":[181],"fusion":[184],"guidance":[188],"global":[190],"adaptively":[193],"select":[194],"different":[195,218],"integrating":[199],"texture":[200],"semantics.":[202],"Both":[203],"facilitate":[205],"generality":[207],"adaptability":[209],"MTMSD":[212],"diverse":[215],"patterns":[216],"data.":[220],"Extensive":[221],"experiments":[222],"conducted":[224],"on":[225,244],"four":[226],"public":[227],"datasets,":[229],"results":[232],"demonstrate":[233],"our":[235],"method":[236],"outperforms":[237],"state-of-the-art":[238],"classification,":[242],"especially":[243],"challenging":[246],"Houston":[247],"2018":[248],"dataset.":[249],"codes":[251],"available":[253],"at":[254],"https://github.com/zjyaccount/MTMSD.":[255]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":6}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}