{"id":"https://openalex.org/W4405974998","doi":"https://doi.org/10.1109/tip.2024.3522809","title":"Deformable Convolution-Enhanced Hierarchical Transformer With Spectral-Spatial Cluster Attention for Hyperspectral Image Classification","display_name":"Deformable Convolution-Enhanced Hierarchical Transformer With Spectral-Spatial Cluster Attention for Hyperspectral Image Classification","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4405974998","doi":"https://doi.org/10.1109/tip.2024.3522809","pmid":"https://pubmed.ncbi.nlm.nih.gov/40030755"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2024.3522809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3522809","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101660211","display_name":"Yu Ming Victor Fang","orcid":"https://orcid.org/0000-0003-3520-2780"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]},{"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":true,"raw_author_name":"Yu Fang","raw_affiliation_strings":["School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, China","School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-3520-2780","affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059068224","display_name":"Le Sun","orcid":"https://orcid.org/0000-0001-6465-8678"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Sun","raw_affiliation_strings":["School of Computer Science and Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Nanjing, China","School of Computer Science, and the Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-6465-8678","affiliations":[{"raw_affiliation_string":"School of Computer Science and Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"School of Computer Science, and the Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087119507","display_name":"Yuhui Zheng","orcid":"https://orcid.org/0000-0002-1709-3093"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhui Zheng","raw_affiliation_strings":["School of Computer Science and Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Nanjing, China","School of Computer Science, and the Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-1709-3093","affiliations":[{"raw_affiliation_string":"School of Computer Science and Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"School of Computer Science, and the Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031361250","display_name":"Zebin Wu","orcid":"https://orcid.org/0000-0002-7162-0202"},"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":"Zebin Wu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-7162-0202","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101660211"],"corresponding_institution_ids":["https://openalex.org/I200845125","https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":27.8915,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.99666737,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"34","issue":null,"first_page":"701","last_page":"716"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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":1.0,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9951000213623047,"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":0.789901077747345},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7273482084274292},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6846843957901001},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5913174152374268},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.46694886684417725},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4084799885749817}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.789901077747345},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7273482084274292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6846843957901001},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5913174152374268},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.46694886684417725},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4084799885749817}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2024.3522809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3522809","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:40030755","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40030755","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G8684068698","display_name":null,"funder_award_id":"U23B2006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G912703667","display_name":null,"funder_award_id":"62471239","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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":38,"referenced_works":["https://openalex.org/W1521436688","https://openalex.org/W2031132062","https://openalex.org/W2087263574","https://openalex.org/W2101711129","https://openalex.org/W2136251662","https://openalex.org/W2159070926","https://openalex.org/W2164330327","https://openalex.org/W2314785379","https://openalex.org/W2323688477","https://openalex.org/W2500751094","https://openalex.org/W2755992512","https://openalex.org/W2767805377","https://openalex.org/W2804744787","https://openalex.org/W2888119354","https://openalex.org/W2914331134","https://openalex.org/W2991616716","https://openalex.org/W3044477028","https://openalex.org/W3047976660","https://openalex.org/W3088162569","https://openalex.org/W3093600558","https://openalex.org/W3134985592","https://openalex.org/W3191251640","https://openalex.org/W3199303234","https://openalex.org/W3214821343","https://openalex.org/W4210794570","https://openalex.org/W4285207472","https://openalex.org/W4289641562","https://openalex.org/W4296325362","https://openalex.org/W4296339430","https://openalex.org/W4296425803","https://openalex.org/W4310593159","https://openalex.org/W4312465065","https://openalex.org/W4318586146","https://openalex.org/W4320339642","https://openalex.org/W4360584432","https://openalex.org/W4379116660","https://openalex.org/W4379507294","https://openalex.org/W4383890157"],"related_works":["https://openalex.org/W2076134148","https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747"],"abstract_inverted_index":{"Vision":[0],"Transformer":[1,54],"(ViT),":[2],"known":[3],"for":[4,12,32,60,141],"capturing":[5],"non-local":[6,92],"features,":[7],"is":[8,114,177],"an":[9],"effective":[10],"tool":[11],"hyperspectral":[13],"image":[14],"classification":[15],"(HSIC).":[16],"However,":[17],"ViT's":[18],"multi-head":[19],"self-attention":[20],"(MHSA)":[21],"mechanism":[22,69],"often":[23],"struggles":[24],"to":[25,37,79,116],"balance":[26],"local":[27,86],"details":[28,87],"and":[29,75,88,97,124,144],"long-range":[30],"relationships":[31],"complex":[33],"high-dimensional":[34],"data,":[35,100],"leading":[36],"a":[38,50,65,103,136],"loss":[39],"in":[40,94,122,131],"spectral-spatial":[41,56],"information":[42],"representation.":[43],"To":[44],"address":[45],"this":[46],"issue,":[47],"we":[48,134],"propose":[49],"deformable":[51,106],"convolution-enhanced":[52],"hierarchical":[53],"with":[55,110],"cluster":[57,67],"attention":[58,68,113],"(SClusterFormer)":[59],"HSIC.":[61],"The":[62,172],"model":[63],"incorporates":[64],"unique":[66],"that":[70],"utilizes":[71],"spectral":[72,112,129],"angle":[73],"similarity":[74],"Euclidean":[76],"distance":[77],"metrics":[78],"enhance":[80],"the":[81,119,128,147,150,161],"representation":[82],"of":[83,91,127,146,163,175],"fine-grained":[84],"homogenous":[85],"improve":[89],"discrimination":[90],"structures":[93],"3-D":[95],"HSI":[96],"2-D":[98],"morphological":[99],"respectively.":[101],"Additionally,":[102],"dual-branch":[104,151],"multiscale":[105],"convolution":[107],"framework":[108],"augmented":[109],"frequency-based":[111],"designed":[115],"capture":[117],"both":[118],"discrepancy":[120],"patterns":[121],"high-frequency":[123],"overall":[125],"trend":[126],"profile":[130],"low-frequency.":[132],"Finally,":[133],"utilize":[135],"cross-feature":[137],"pixel-level":[138],"fusion":[139,145],"module":[140],"collaborative":[142],"cross-learning":[143],"results":[148],"from":[149],"framework.":[152],"Comprehensive":[153],"experiments":[154],"conducted":[155],"on":[156],"multiple":[157],"HSIC":[158],"datasets":[159],"validate":[160],"superiority":[162],"our":[164],"proposed":[165],"SClusterFormer":[166,176],"model,":[167],"which":[168],"outperforms":[169],"existing":[170],"methods.":[171],"source":[173],"code":[174],"available":[178],"at":[179],"https://github.com/Fang666666/HSIC":[180],"SClusterFormer.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":19}],"updated_date":"2026-05-31T08:46:17.908082","created_date":"2025-10-10T00:00:00"}