{"id":"https://openalex.org/W4402187173","doi":"https://doi.org/10.1109/jstars.2024.3453936","title":"BIHAF-Net: Bilateral Interactive Hierarchical Adaptive Fusion Network for Collaborative Classification of Hyperspectral and LiDAR Data","display_name":"BIHAF-Net: Bilateral Interactive Hierarchical Adaptive Fusion Network for Collaborative Classification of Hyperspectral and LiDAR Data","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402187173","doi":"https://doi.org/10.1109/jstars.2024.3453936"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2024.3453936","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3453936","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/jstars.2024.3453936","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051734944","display_name":"Yunji Zhao","orcid":"https://orcid.org/0000-0001-6024-9105"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunji Zhao","raw_affiliation_strings":["Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, China"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005968014","display_name":"Wenming Bao","orcid":"https://orcid.org/0000-0001-8822-5930"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenming Bao","raw_affiliation_strings":["Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, China"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111364993","display_name":"Xu Jun","orcid":"https://orcid.org/0000-0002-8344-2669"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Xu","raw_affiliation_strings":["Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, China"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012523447","display_name":"Xiaozhuo Xu","orcid":"https://orcid.org/0000-0003-0817-979X"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaozhuo Xu","raw_affiliation_strings":["Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, China"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5051734944"],"corresponding_institution_ids":["https://openalex.org/I4210166499"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":5.4366,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.96166951,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"17","issue":null,"first_page":"15971","last_page":"15988"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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":0.9997000098228455,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.983299970626831,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9747999906539917,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.798632025718689},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.7141509056091309},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7041026949882507},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5569041967391968},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47328704595565796},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.472716748714447},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4554356038570404},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4318595826625824},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1343763768672943},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07909965515136719}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.798632025718689},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7141509056091309},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7041026949882507},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5569041967391968},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47328704595565796},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.472716748714447},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4554356038570404},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4318595826625824},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1343763768672943},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07909965515136719},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2024.3453936","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3453936","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5bd83829d0284c1cb713ad18a819e91f","is_oa":true,"landing_page_url":"https://doaj.org/article/5bd83829d0284c1cb713ad18a819e91f","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":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 15971-15988 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2024.3453936","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3453936","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8212456395","display_name":null,"funder_award_id":"52177039","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1965309615","https://openalex.org/W1976416886","https://openalex.org/W1980252875","https://openalex.org/W2002392274","https://openalex.org/W2187089797","https://openalex.org/W2606929568","https://openalex.org/W2623518586","https://openalex.org/W2744049245","https://openalex.org/W2765739551","https://openalex.org/W3004968762","https://openalex.org/W3011305844","https://openalex.org/W3016244469","https://openalex.org/W3035356612","https://openalex.org/W3048631361","https://openalex.org/W3081753142","https://openalex.org/W3097336090","https://openalex.org/W3102692100","https://openalex.org/W3105997607","https://openalex.org/W3202733799","https://openalex.org/W3208935369","https://openalex.org/W3209540366","https://openalex.org/W4229058281","https://openalex.org/W4280490589","https://openalex.org/W4285124347","https://openalex.org/W4285134520","https://openalex.org/W4285507497","https://openalex.org/W4297094428","https://openalex.org/W4312208437","https://openalex.org/W4312339456","https://openalex.org/W4312465065","https://openalex.org/W4312592451","https://openalex.org/W4313524854","https://openalex.org/W4361982595","https://openalex.org/W4379622455","https://openalex.org/W4379984088","https://openalex.org/W4380078700","https://openalex.org/W4385819914","https://openalex.org/W4386145024","https://openalex.org/W4386432259","https://openalex.org/W4387092601","https://openalex.org/W4387448065","https://openalex.org/W4387448078","https://openalex.org/W4387623802","https://openalex.org/W4387789827","https://openalex.org/W4388157208","https://openalex.org/W4388505065","https://openalex.org/W4388838755","https://openalex.org/W4389610379","https://openalex.org/W4390187353","https://openalex.org/W4390600657","https://openalex.org/W4390659044","https://openalex.org/W4390759772","https://openalex.org/W4391729415","https://openalex.org/W4391877704","https://openalex.org/W4391944617","https://openalex.org/W4391953454","https://openalex.org/W4391999248","https://openalex.org/W4392909947","https://openalex.org/W4392979886","https://openalex.org/W4393906060","https://openalex.org/W4396598495","https://openalex.org/W4396680505","https://openalex.org/W4396909904","https://openalex.org/W4399342419"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2072166414","https://openalex.org/W2956374172","https://openalex.org/W3209970181","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2152662039"],"abstract_inverted_index":{"Multimodal":[0],"remote":[1],"sensing":[2],"data":[3,38,53],"can":[4],"portray":[5],"land-cover":[6],"characteristics":[7],"more":[8],"comprehensively.":[9],"Deep":[10],"learning":[11],"has":[12],"powerful":[13],"feature":[14,55,66,142,174,183],"extraction":[15,56],"capability.":[16],"Therefore,":[17,105],"deep":[18],"learning-based":[19],"methods":[20,46,71],"have":[21],"been":[22],"widely":[23],"used":[24,149],"for":[25,117],"collaborative":[26,118],"classification":[27,42,119,244],"of":[28,61,91,102,120,177,186,212,222],"hyperspectral":[29],"image":[30],"(HSI)":[31],"and":[32,35,39,94,122,144,158,180,231,234],"light":[33],"detection":[34],"ranging":[36],"(LiDAR)":[37],"achieve":[40],"competitive":[41],"performance.":[43,245],"However,":[44],"existing":[45],"either":[47],"overlook":[48],"complementary":[49],"information":[50,101,155,179,221],"between":[51],"multimodal":[52,65,75,92,203,214],"during":[54,64],"or":[57],"overly":[58],"highlight":[59],"features":[60,76,93],"one":[62],"modality":[63],"interaction.":[67],"In":[68],"addition,":[69],"some":[70],"integrate":[72],"the":[73,88,98,126,163,172,181,201,209,213,235,239],"extracted":[74,202],"using":[77],"a":[78,109,130,190],"straightforward":[79],"cross-attention":[80],"mechanism,":[81],"it":[82],"is":[83,168,196,225],"difficult":[84],"to":[85,96,150,170,198],"adequately":[86],"emphasize":[87],"relative":[89,210],"importance":[90,211],"tends":[95],"lose":[97],"local":[99,219],"detail":[100,220],"intramodal":[103],"features.":[104],"this":[106],"article":[107],"proposes":[108],"bilateral":[110,164],"interactive":[111,165],"hierarchical":[112,192],"adaptive":[113,193],"fusion":[114,194],"network":[115,141],"(BIHAF-Net)":[116],"HSI":[121,157,178,230],"LiDAR":[123,159,187,232],"data.":[124],"First,":[125],"proposed":[127,240],"model":[128],"adopts":[129],"two-branch":[131],"structure,":[132],"where":[133],"each":[134],"branch":[135],"sequentially":[136],"connects":[137],"multilevel":[138],"convolutional":[139],"neural":[140],"extractor":[143],"spectral\u2013spatial":[145],"transformer,":[146],"which":[147,205],"are":[148],"mine":[151],"discriminative":[152],"high-level":[153],"semantic":[154],"from":[156],"data,":[160],"respectively.":[161],"Second,":[162],"feedback":[166],"module":[167,195],"designed":[169],"enhance":[171],"spatial":[173],"representation":[175,184],"ability":[176,185],"spectral":[182],"information.":[188],"Finally,":[189],"cross-modal":[191],"developed":[197],"dynamically":[199],"fuse":[200],"features,":[204,215],"not":[206],"only":[207],"highlights":[208],"but":[216],"also":[217],"preserves":[218],"intramodal.":[223],"Experiment":[224],"conducted":[226],"on":[227],"four":[228],"benchmark":[229],"datasets,":[233],"experimental":[236],"results":[237],"demonstrate":[238],"BIHAF-Net":[241],"performs":[242],"better":[243]},"counts_by_year":[{"year":2025,"cited_by_count":17}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}