{"id":"https://openalex.org/W4403942757","doi":"https://doi.org/10.3390/rs16214050","title":"AFA\u2013Mamba: Adaptive Feature Alignment with Global\u2013Local Mamba for Hyperspectral and LiDAR Data Classification","display_name":"AFA\u2013Mamba: Adaptive Feature Alignment with Global\u2013Local Mamba for Hyperspectral and LiDAR Data Classification","publication_year":2024,"publication_date":"2024-10-30","ids":{"openalex":"https://openalex.org/W4403942757","doi":"https://doi.org/10.3390/rs16214050"},"language":"en","primary_location":{"id":"doi:10.3390/rs16214050","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16214050","pdf_url":"https://www.mdpi.com/2072-4292/16/21/4050/pdf?version=1730378817","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/16/21/4050/pdf?version=1730378817","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102707439","display_name":"Sai Li","orcid":"https://orcid.org/0009-0007-4704-8254"},"institutions":[{"id":"https://openalex.org/I4210159676","display_name":"Zaozhuang University","ror":"https://ror.org/05x21tp94","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210159676"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sai Li","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Zaozhuang University, Zaozhuang 277160, China","Zaozhuang Robot Autonomous Positioning and Navigation Technology Innovation Center, Zaozhuang 277160, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Zaozhuang University, Zaozhuang 277160, China","institution_ids":["https://openalex.org/I4210159676"]},{"raw_affiliation_string":"Zaozhuang Robot Autonomous Positioning and Navigation Technology Innovation Center, Zaozhuang 277160, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055106374","display_name":"Song Huang","orcid":"https://orcid.org/0009-0004-4581-9332"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210135723","display_name":"Shanghai Institute of Technical Physics","ror":"https://ror.org/02txedb84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210135723"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuo Huang","raw_affiliation_strings":["Key Laboratory of Infrared System Detection and Imaging Technology, Chinese Academy of Sciences, Shanghai 200083, China","Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Infrared System Detection and Imaging Technology, Chinese Academy of Sciences, Shanghai 200083, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China","institution_ids":["https://openalex.org/I4210135723","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055106374"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210135723"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":3.2632,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.92927824,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"16","issue":"21","first_page":"4050","last_page":"4050"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9922999739646912,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9807999730110168,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6226773858070374},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.41203773021698},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.32517850399017334},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.25749605894088745}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6226773858070374},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.41203773021698},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.32517850399017334},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.25749605894088745}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16214050","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16214050","pdf_url":"https://www.mdpi.com/2072-4292/16/21/4050/pdf?version=1730378817","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c83077de44a34682a066d6ef54fcbaa3","is_oa":true,"landing_page_url":"https://doaj.org/article/c83077de44a34682a066d6ef54fcbaa3","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 21, p 4050 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16214050","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16214050","pdf_url":"https://www.mdpi.com/2072-4292/16/21/4050/pdf?version=1730378817","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G5876598134","display_name":null,"funder_award_id":"1020714","funder_id":"https://openalex.org/F4320325428","funder_display_name":"Zaozhuang University"},{"id":"https://openalex.org/G5999360600","display_name":null,"funder_award_id":"ZR202103050458","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320325428","display_name":"Zaozhuang University","ror":"https://ror.org/05x21tp94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403942757.pdf"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W1497089125","https://openalex.org/W1551648222","https://openalex.org/W1584663654","https://openalex.org/W2065800647","https://openalex.org/W2101711129","https://openalex.org/W2135550335","https://openalex.org/W2136251662","https://openalex.org/W2249336288","https://openalex.org/W2261059368","https://openalex.org/W2314785379","https://openalex.org/W2344173806","https://openalex.org/W2565258258","https://openalex.org/W2618637117","https://openalex.org/W2748857187","https://openalex.org/W2793927960","https://openalex.org/W2888119354","https://openalex.org/W2914331134","https://openalex.org/W2942454403","https://openalex.org/W2962770389","https://openalex.org/W2964724400","https://openalex.org/W2991616716","https://openalex.org/W3004968762","https://openalex.org/W3034053233","https://openalex.org/W3098388691","https://openalex.org/W3105997607","https://openalex.org/W3122028341","https://openalex.org/W3129701235","https://openalex.org/W3132859298","https://openalex.org/W3136189581","https://openalex.org/W3191036819","https://openalex.org/W3196386002","https://openalex.org/W4200068923","https://openalex.org/W4236714952","https://openalex.org/W4285124347","https://openalex.org/W4285187901","https://openalex.org/W4296339430","https://openalex.org/W4297310189","https://openalex.org/W4312208437","https://openalex.org/W4312465065","https://openalex.org/W4361009274","https://openalex.org/W4379745845","https://openalex.org/W4386848661","https://openalex.org/W4386879370","https://openalex.org/W4387056846","https://openalex.org/W4391935886","https://openalex.org/W4391956374","https://openalex.org/W4392620694","https://openalex.org/W4399618753","https://openalex.org/W4400448280","https://openalex.org/W4403601086","https://openalex.org/W4404479756","https://openalex.org/W6799336272","https://openalex.org/W6839795693","https://openalex.org/W6842931160","https://openalex.org/W6847441247","https://openalex.org/W6861900329"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190"],"abstract_inverted_index":{"The":[0],"joint":[1],"classification":[2,23,51,197],"of":[3,17,66,149],"hyperspectral":[4],"imagery":[5],"(HSI)":[6],"and":[7,31,57,73,160],"LiDAR":[8],"data":[9,87],"is":[10],"an":[11,100,156],"important":[12,44],"task":[13],"in":[14,49],"the":[15,38,62,70,82,146,167],"field":[16],"remote":[18,67],"sensing":[19,68],"image":[20],"interpretation.":[21],"Traditional":[22],"methods,":[24],"such":[25],"as":[26],"support":[27],"vector":[28],"machine":[29],"(SVM)":[30],"random":[32],"forest":[33],"(RF),":[34],"have":[35],"difficulty":[36],"capturing":[37],"complex":[39],"spectral\u2013spatial\u2013elevation":[40],"correlation":[41],"information.":[42],"Recently,":[43],"progress":[45],"has":[46],"been":[47],"made":[48],"HSI-LiDAR":[50],"using":[52],"Convolutional":[53],"Neural":[54],"Networks":[55],"(CNNs)":[56],"Transformers.":[58],"However,":[59],"due":[60],"to":[61,76,144,164,179],"large":[63],"spatial":[64,147],"extent":[65],"images,":[69],"vanilla":[71],"Transformer":[72],"CNNs":[74],"struggle":[75],"effectively":[77,131],"capture":[78],"global":[79],"context.":[80],"Moreover,":[81],"weak":[83],"misalignment":[84],"between":[85,170],"multi-source":[86,171,195],"poses":[88],"challenges":[89],"for":[90],"their":[91],"effective":[92],"fusion.":[93,186],"In":[94],"this":[95],"paper,":[96],"we":[97],"introduce":[98],"AFA\u2013Mamba,":[99],"Adaptive":[101,158],"Feature":[102],"Alignment":[103,159],"Network":[104],"with":[105],"a":[106,126,135,176,188],"Global\u2013Local":[107,127],"Mamba":[108,128],"design":[109],"that":[110],"achieves":[111],"accurate":[112],"land":[113],"cover":[114],"classification.":[115],"It":[116],"contains":[117],"two":[118],"main":[119],"core":[120],"designs:":[121],"(1)":[122],"We":[123,153],"first":[124],"propose":[125,155],"encoder,":[129],"which":[130],"models":[132],"context":[133],"through":[134],"2D":[136],"selective":[137],"scanning":[138],"mechanism":[139],"while":[140],"introducing":[141],"local":[142,150],"bias":[143],"enhance":[145],"features":[148],"objects.":[151],"(2)":[152],"also":[154],"SSE":[157],"Fusion":[161],"(A2F)":[162],"module":[163,174],"adaptively":[165],"adjust":[166],"relative":[168],"positions":[169],"features.":[172],"This":[173],"establishes":[175],"guided":[177],"subspace":[178],"accurately":[180],"estimate":[181],"feature-level":[182],"offsets,":[183],"enabling":[184],"optimal":[185],"As":[187],"result,":[189],"our":[190],"AFA\u2013Mamba":[191],"consistently":[192],"outperforms":[193],"state-of-the-art":[194],"fusion":[196],"approaches":[198],"across":[199],"multiple":[200],"datasets.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":10}],"updated_date":"2026-03-22T08:09:32.410652","created_date":"2024-11-01T00:00:00"}
