{"id":"https://openalex.org/W7160820551","doi":"https://doi.org/10.1109/tip.2026.3690310","title":"Spectral\u2013Spatial Dynamic Scan Mamba for Multi-Source Remote Sensing Data Classification","display_name":"Spectral\u2013Spatial Dynamic Scan Mamba for Multi-Source Remote Sensing Data Classification","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7160820551","doi":"https://doi.org/10.1109/tip.2026.3690310","pmid":"https://pubmed.ncbi.nlm.nih.gov/42113667"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2026.3690310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2026.3690310","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/A5011401698","display_name":"Puhong Duan","orcid":"https://orcid.org/0000-0001-5066-4399"},"institutions":[{"id":"https://openalex.org/I4210121405","display_name":"Centre for Artificial Intelligence and Robotics","ror":"https://ror.org/01xnbq218","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1340206300","https://openalex.org/I4210121405","https://openalex.org/I4210150591"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Puhong Duan","raw_affiliation_strings":["School of Artificial Intelligence and Robotics, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-5066-4399","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Robotics, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I4210121405"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135834933","display_name":"Yaqi Shang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121405","display_name":"Centre for Artificial Intelligence and Robotics","ror":"https://ror.org/01xnbq218","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1340206300","https://openalex.org/I4210121405","https://openalex.org/I4210150591"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Yaqi Shang","raw_affiliation_strings":["School of Artificial Intelligence and Robotics, Hunan University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Robotics, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I4210121405"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135840043","display_name":"Zhiyu Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121405","display_name":"Centre for Artificial Intelligence and Robotics","ror":"https://ror.org/01xnbq218","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1340206300","https://openalex.org/I4210121405","https://openalex.org/I4210150591"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Zhiyu Wang","raw_affiliation_strings":["School of Artificial Intelligence and Robotics, Hunan University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Robotics, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I4210121405"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057514965","display_name":"Xudong Kang","orcid":"https://orcid.org/0000-0002-3807-2531"},"institutions":[{"id":"https://openalex.org/I4210121405","display_name":"Centre for Artificial Intelligence and Robotics","ror":"https://ror.org/01xnbq218","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1340206300","https://openalex.org/I4210121405","https://openalex.org/I4210150591"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Xudong Kang","raw_affiliation_strings":["School of Artificial Intelligence and Robotics, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-3807-2531","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Robotics, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I4210121405"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5135833890","display_name":"Shutao Li","orcid":"https://orcid.org/0000-0002-0585-9848"},"institutions":[{"id":"https://openalex.org/I4210121405","display_name":"Centre for Artificial Intelligence and Robotics","ror":"https://ror.org/01xnbq218","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1340206300","https://openalex.org/I4210121405","https://openalex.org/I4210150591"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shutao Li","raw_affiliation_strings":["School of Artificial Intelligence and Robotics, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-0585-9848","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Robotics, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I4210121405"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210121405"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.56766067,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":null,"first_page":"5324","last_page":"5336"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.5450999736785889,"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":0.5450999736785889,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.019300000742077827,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.014999999664723873,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/contextual-image-classification","display_name":"Contextual image classification","score":0.5863000154495239},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.37610000371932983},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.3467999994754791},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.3246000111103058},{"id":"https://openalex.org/keywords/data-classification","display_name":"Data classification","score":0.3163999915122986},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.31520000100135803},{"id":"https://openalex.org/keywords/remote-sensing-application","display_name":"Remote sensing application","score":0.3050000071525574},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3025999963283539}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.8263000249862671},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5863000154495239},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5289999842643738},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4221000075340271},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.37610000371932983},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.3467999994754791},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3440000116825104},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.3246000111103058},{"id":"https://openalex.org/C2780724565","wikidata":"https://www.wikidata.org/wiki/Q5227256","display_name":"Data classification","level":2,"score":0.3163999915122986},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31520000100135803},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.3050000071525574},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3025999963283539},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2989000082015991},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.29490000009536743},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.2768000066280365},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C87456703","wikidata":"https://www.wikidata.org/wiki/Q247760","display_name":"Radiometry","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.2551000118255615},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.2533000111579895},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2531999945640564},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.2515000104904175}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2026.3690310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2026.3690310","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:42113667","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42113667","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":[],"awards":[{"id":"https://openalex.org/G2695236858","display_name":null,"funder_award_id":"62525108","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5921931442","display_name":null,"funder_award_id":"62371185","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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multi-source":[0],"remote":[1,19,42,91,110,161,176],"sensing":[2,20,43,92,111,162,177],"data":[3,44,93,163],"classification":[4,45],"refers":[5],"to":[6,103,121,138,153,166,197],"the":[7,71,105,124,140,155,188],"process":[8],"of":[9,17,108,159,204],"categorizing":[10],"ground":[11],"objects":[12],"by":[13],"integrating":[14],"complementary":[15,72],"strengths":[16],"multiple":[18],"data,":[21,112],"such":[22],"as":[23,164],"hyperspectral":[24],"image":[25],"(HSI),":[26],"light":[27],"detection":[28],"and":[29,32,127,183,199],"ranging":[30],"(LiDAR)":[31],"synthetic":[33],"aperture":[34],"radar":[35],"(SAR)":[36],"data.":[37],"However,":[38],"current":[39,60],"Mamba-based":[40],"multisource":[41],"approaches":[46],"rely":[47],"on":[48,173],"fixed":[49],"scanning":[50],"patterns":[51],"that":[52,187],"are":[53],"inadequate":[54],"in":[55,113,143],"characterizing":[56],"spectral-spatial":[57,84,106],"information.":[58,129],"Additionally,":[59],"fusion":[61,67,134],"techniques":[62],"adopt":[63],"concatenation":[64],"or":[65],"attention-based":[66],"rules":[68],"without":[69],"considering":[70],"characteristics":[73],"between":[74],"different":[75],"modalities.":[76],"To":[77],"address":[78],"these":[79],"limitations,":[80],"we":[81],"propose":[82],"a":[83,96,115,131,145],"dynamic":[85,97,116],"scan":[86,98,117],"Mamba":[87,99],"(SDSM)":[88],"for":[89],"multi-source":[90,109,160,175],"classification.":[94],"Specifically,":[95],"network":[100],"is":[101,119,136,151,207],"proposed":[102,137,189],"extract":[104,154],"features":[107,158],"which":[114,144],"module":[118,150],"designed":[120,152],"adaptively":[122],"capture":[123],"important":[125],"spatial":[126],"spectral":[128],"Furthermore,":[130],"bidirectional":[132],"cross-modal":[133],"rule":[135],"merge":[139],"extracted":[141],"features,":[142],"global-local":[146],"frequency":[147],"feature":[148,169],"extraction":[149],"salient":[156],"structural":[157],"clues":[165],"guide":[167],"heterogeneous":[168],"fusion.":[170],"Comprehensive":[171],"experiments":[172],"four":[174],"datasets,":[178],"i.e.,":[179],"MUUFL,":[180],"Augsburg,":[181],"Italy":[182],"Yellow":[184],"River,":[185],"demonstrate":[186],"method":[190],"outperforms":[191],"other":[192],"state-of-the-art":[193],"methods":[194],"with":[195],"respect":[196],"quantitative":[198],"qualitative":[200],"results.":[201],"The":[202],"code":[203],"this":[205],"article":[206],"available":[208],"at":[209],"https://github.com/PuhongDuan/SDSM.":[210]},"counts_by_year":[],"updated_date":"2026-05-23T06:10:36.450269","created_date":"2026-05-12T00:00:00"}