{"id":"https://openalex.org/W2988517117","doi":"https://doi.org/10.1109/igarss.2019.8899261","title":"S3NET: Towards Real-Time Hyperspectral Imagery Classification","display_name":"S3NET: Towards Real-Time Hyperspectral Imagery Classification","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2988517117","doi":"https://doi.org/10.1109/igarss.2019.8899261","mag":"2988517117"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8899261","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8899261","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5000877601","display_name":"Zhuo Zheng","orcid":"https://orcid.org/0000-0003-1811-6725"},"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"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuo Zheng","raw_affiliation_strings":["LIESMARS, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIESMARS, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100754351","display_name":"Yanfei Zhong","orcid":"https://orcid.org/0000-0001-9446-5850"},"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"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfei Zhong","raw_affiliation_strings":["LIESMARS, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIESMARS, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7833,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69288194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3293","last_page":"3296"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9864000082015991,"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":0.7991675138473511},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7806873321533203},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6711271405220032},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5691477060317993},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5559026002883911},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48092982172966003},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4682275652885437},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.46545273065567017},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.44299134612083435},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4346708059310913},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3249906301498413},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24939563870429993},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15185219049453735}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7991675138473511},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7806873321533203},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6711271405220032},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5691477060317993},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5559026002883911},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48092982172966003},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4682275652885437},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.46545273065567017},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.44299134612083435},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4346708059310913},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3249906301498413},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24939563870429993},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15185219049453735},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2019.8899261","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8899261","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2008847349","https://openalex.org/W2531409750","https://openalex.org/W2548390752","https://openalex.org/W2732412926","https://openalex.org/W2784118841","https://openalex.org/W2792332881","https://openalex.org/W2806437580","https://openalex.org/W2963163009"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2070598848","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2019190440","https://openalex.org/W2343470940"],"abstract_inverted_index":{"Fast":[0],"hyperspectral":[1],"image":[2],"classification":[3],"methods":[4,22,77],"are":[5,23],"required":[6],"to":[7,32,43,50,97],"real":[8],"time":[9],"processing":[10],"on":[11,85],"UAV":[12,139],"and":[13,62,90,152,167],"airborne":[14],"platform.":[15],"But":[16],"current":[17],"state":[18],"of":[19,74,127,150],"the":[20,69,109,125,137],"art":[21],"under":[24],"patch":[25,51],"based":[26,52,76,84,94],"framework":[27,83],"that":[28],"is":[29,41,113],"slow":[30],"due":[31,49],"duplicate":[33],"computation,":[34,108],"while":[35],"fully":[36],"convolutional":[37],"neural":[38],"network":[39,89],"(FCN)":[40],"difficult":[42],"run":[44],"inference":[45],"in":[46,134],"one":[47],"shot":[48],"training":[53,73,95,122,128],"strategy.":[54],"In":[55],"this":[56],"paper,":[57],"we":[58,79],"firstly":[59],"identify":[60],"overparameterization":[61],"inconsistent":[63],"class":[64,131],"ratio":[65,132],"per":[66],"mini-batch":[67],"as":[68,115],"central":[70],"causes":[71],"impeding":[72],"FCN":[75],"so":[78],"propose":[80],"a":[81,86,91,116,148,162],"novel":[82],"new":[87],"lightweight":[88],"stratified":[92],"sample":[93],"strategy":[96,123],"overcome":[98],"above":[99],"problems.":[100],"To":[101],"refine":[102],"redundant":[103],"spectrum":[104],"information":[105],"for":[106],"fast":[107],"spectral":[110],"attention":[111],"module":[112],"proposed":[114,121],"soft":[117],"band":[118],"selection.":[119],"The":[120],"enables":[124],"stability":[126],"by":[129,146],"keeping":[130],"consistent":[133],"mini-batches.":[135],"On":[136],"WHU-HongHu":[138],"dataset,":[140],"our":[141,158],"method":[142,159],"achieves":[143],"great":[144],"performance":[145],"obtaining":[147],"OA":[149],"98.94":[151],"running":[153],"at":[154],"144":[155],"fps.":[156],"Additionally,":[157],"can":[160],"obtain":[161],"flexible":[163],"trade-off":[164],"between":[165],"speed":[166],"accuracy.":[168]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}