{"id":"https://openalex.org/W4402742757","doi":"https://doi.org/10.1109/tgrs.2024.3466151","title":"AMIANet: Asymmetric Multimodal Interactive Augmentation Network for Semantic Segmentation of Remote Sensing Imagery","display_name":"AMIANet: Asymmetric Multimodal Interactive Augmentation Network for Semantic Segmentation of Remote Sensing Imagery","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402742757","doi":"https://doi.org/10.1109/tgrs.2024.3466151"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3466151","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tgrs.2024.3466151","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/A5090230475","display_name":"Tiancheng Liu","orcid":"https://orcid.org/0009-0007-2762-9123"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tiancheng Liu","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Hubei Luojia Laboratory, Wuhan University, Wuhan, China","Hubei Luojia Laboratory, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0007-2762-9123","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Hubei Luojia Laboratory, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Hubei Luojia Laboratory, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034945418","display_name":"Qingwu Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingwu Hu","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Hubei Luojia Laboratory, Wuhan University, Wuhan, China","Hubei Luojia Laboratory, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-0866-6678","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Hubei Luojia Laboratory, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Hubei Luojia Laboratory, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025843110","display_name":"Wenlei Fan","orcid":"https://orcid.org/0000-0003-0092-0512"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenlei Fan","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Hubei Luojia Laboratory, Wuhan University, Wuhan, China","Hubei Luojia Laboratory, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Hubei Luojia Laboratory, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Hubei Luojia Laboratory, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041802711","display_name":"Haixia Feng","orcid":"https://orcid.org/0000-0003-3815-717X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haixia Feng","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Hubei Luojia Laboratory, Wuhan University, Wuhan, China","Hubei Luojia Laboratory, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-3815-717X","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Hubei Luojia Laboratory, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Hubei Luojia Laboratory, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051017680","display_name":"Daoyuan Zheng","orcid":"https://orcid.org/0000-0003-0344-1760"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daoyuan Zheng","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Hubei Luojia Laboratory, Wuhan University, Wuhan, China","Hubei Luojia Laboratory, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-0344-1760","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Hubei Luojia Laboratory, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Hubei Luojia Laboratory, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5090230475"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":1.8214,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.87289576,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9505000114440918,"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":0.9505000114440918,"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":0.9097999930381775,"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/computer-science","display_name":"Computer science","score":0.7261441946029663},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6317263245582581},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5708514451980591},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47740355134010315},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4644909203052521},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4363778531551361},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2305353581905365}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7261441946029663},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6317263245582581},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5708514451980591},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47740355134010315},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4644909203052521},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4363778531551361},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2305353581905365}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3466151","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tgrs.2024.3466151","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/G4338621127","display_name":null,"funder_award_id":"42371439","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":58,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2028481299","https://openalex.org/W2085323753","https://openalex.org/W2123576693","https://openalex.org/W2166820607","https://openalex.org/W2560609797","https://openalex.org/W2587989515","https://openalex.org/W2614059183","https://openalex.org/W2761129952","https://openalex.org/W2788158258","https://openalex.org/W2809426059","https://openalex.org/W2885739804","https://openalex.org/W2918084323","https://openalex.org/W2946802127","https://openalex.org/W2963182550","https://openalex.org/W2963881378","https://openalex.org/W2963956866","https://openalex.org/W2963995737","https://openalex.org/W2991284067","https://openalex.org/W2995932445","https://openalex.org/W3003437478","https://openalex.org/W3012494314","https://openalex.org/W3013713530","https://openalex.org/W3014641072","https://openalex.org/W3035499612","https://openalex.org/W3048631361","https://openalex.org/W3081753142","https://openalex.org/W3109944402","https://openalex.org/W3111341286","https://openalex.org/W3127230150","https://openalex.org/W3128829940","https://openalex.org/W3135445258","https://openalex.org/W3137799923","https://openalex.org/W3155309226","https://openalex.org/W3162787701","https://openalex.org/W3163821474","https://openalex.org/W3165639664","https://openalex.org/W3174299064","https://openalex.org/W3181190968","https://openalex.org/W3194110709","https://openalex.org/W3194841206","https://openalex.org/W3198062544","https://openalex.org/W3199463036","https://openalex.org/W3200060357","https://openalex.org/W3202370946","https://openalex.org/W4200142374","https://openalex.org/W4211010347","https://openalex.org/W4289752563","https://openalex.org/W4306399487","https://openalex.org/W4312747302","https://openalex.org/W4321483963","https://openalex.org/W4366147345","https://openalex.org/W4380875837","https://openalex.org/W4381300351","https://openalex.org/W4383337348","https://openalex.org/W4385801297","https://openalex.org/W4387618979","https://openalex.org/W4401328468"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"In":[0,66],"recent":[1],"years,":[2],"the":[3,52,61,92,100,106,120,151],"inherent":[4],"2-D":[5],"characteristics":[6,122],"of":[7,22,63,91,102,118,123],"optical":[8],"images":[9,32,85],"have":[10],"led":[11],"to":[12,143],"a":[13,71],"plateau":[14],"in":[15,94,99],"semantic":[16,36,45],"segmentation":[17,37,46],"performance.":[18],"The":[19,89,147,169],"complementary":[20,121],"nature":[21],"light":[23],"detection":[24],"and":[25,30,39,86,132,135,154,164],"ranging":[26],"(LiDAR)":[27],"point":[28,87,140],"clouds":[29],"camera":[31],"can":[33],"effectively":[34],"enhance":[35,144],"capabilities,":[38],"thus,":[40],"research":[41],"into":[42],"multimodal":[43,64,74,110],"joint":[44],"is":[47,116,127],"garnering":[48],"increasing":[49],"attention.":[50],"However,":[51],"domain":[53],"gaps":[54],"between":[55],"different":[56],"dimensions":[57],"present":[58],"challenges":[59],"for":[60],"fusion":[62],"data.":[65,125],"this":[67],"article,":[68],"we":[69],"introduce":[70],"novel":[72],"asymmetric":[73],"interaction":[75,111],"augmented":[76],"network":[77],"(AMIANet),":[78],"which":[79],"directly":[80],"processes":[81],"heterogeneous":[82],"data":[83,96],"from":[84,139],"clouds.":[88],"treatment":[90],"disparities":[93],"modal":[95],"ensures":[97],"consistency":[98],"features":[101,142],"both":[103],"modes.":[104],"Through":[105],"newly":[107],"developed":[108],"synergistic":[109],"module":[112],"(SMI":[113],"Module),":[114],"AMIANet":[115,160],"capable":[117],"combining":[119],"cross-modal":[124],"This":[126],"achieved":[128],"by":[129],"interactively":[130],"fusing":[131],"extracting":[133],"precise":[134],"rich":[136],"structural":[137],"information":[138],"cloud":[141],"image":[145],"characteristics.":[146],"experimental":[148],"results":[149],"on":[150],"N3C-California,":[152],"WHU-RRDSD,":[153],"ISPRS":[155],"Vaihingen":[156],"datasets":[157],"demonstrate":[158],"that":[159],"surpasses":[161],"benchmark":[162],"methods":[163],"current":[165],"state-of-the-art":[166],"(SOTA)":[167],"approaches.":[168],"code":[170],"will":[171],"be":[172],"available":[173],"at":[174],"<uri":[175],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[176],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/2012153946/AMIANet</uri>.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}