{"id":"https://openalex.org/W4391923792","doi":"https://doi.org/10.1109/whispers61460.2023.10431375","title":"Hyperspectral Image Classification with Dynamic Spatial-Spectral Attention Network","display_name":"Hyperspectral Image Classification with Dynamic Spatial-Spectral Attention Network","publication_year":2023,"publication_date":"2023-10-31","ids":{"openalex":"https://openalex.org/W4391923792","doi":"https://doi.org/10.1109/whispers61460.2023.10431375"},"language":"en","primary_location":{"id":"doi:10.1109/whispers61460.2023.10431375","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/whispers61460.2023.10431375","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-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/A5061913887","display_name":"Zhe Meng","orcid":"https://orcid.org/0000-0002-2364-2749"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhe Meng","raw_affiliation_strings":["Xi&#x2019;an University of Posts and Telecommunications,School of Communications and Information Engineering (School of Artificial Intelligence),Xi&#x2019;an,China,710121"],"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an University of Posts and Telecommunications,School of Communications and Information Engineering (School of Artificial Intelligence),Xi&#x2019;an,China,710121","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101220521","display_name":"Qian Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Yan","raw_affiliation_strings":["Xi&#x2019;an University of Posts and Telecommunications,School of Communications and Information Engineering (School of Artificial Intelligence),Xi&#x2019;an,China,710121"],"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an University of Posts and Telecommunications,School of Communications and Information Engineering (School of Artificial Intelligence),Xi&#x2019;an,China,710121","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100706940","display_name":"Feng Zhao","orcid":"https://orcid.org/0000-0002-0323-9573"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Zhao","raw_affiliation_strings":["Xi&#x2019;an University of Posts and Telecommunications,School of Communications and Information Engineering (School of Artificial Intelligence),Xi&#x2019;an,China,710121"],"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an University of Posts and Telecommunications,School of Communications and Information Engineering (School of Artificial Intelligence),Xi&#x2019;an,China,710121","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087813097","display_name":"Miaomiao Liang","orcid":"https://orcid.org/0000-0002-4289-7114"},"institutions":[{"id":"https://openalex.org/I4510145","display_name":"Jiangxi University of Science and Technology","ror":"https://ror.org/03q0t9252","country_code":"CN","type":"education","lineage":["https://openalex.org/I4510145"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miaomiao Liang","raw_affiliation_strings":["Jiangxi University of Science and Technology,School of Information Engineering,Ganzhou,China,341000"],"affiliations":[{"raw_affiliation_string":"Jiangxi University of Science and Technology,School of Information Engineering,Ganzhou,China,341000","institution_ids":["https://openalex.org/I4510145"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5061913887"],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.4869,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70379067,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9800000190734863,"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/T10057","display_name":"Face and Expression Recognition","score":0.9649999737739563,"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":0.9184015393257141},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6755633354187012},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6378841400146484},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.5061613917350769},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49721387028694153},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.46538227796554565},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45772963762283325},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44207191467285156},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3986894488334656},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1963396668434143}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9184015393257141},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6755633354187012},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6378841400146484},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.5061613917350769},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49721387028694153},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.46538227796554565},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45772963762283325},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44207191467285156},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3986894488334656},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1963396668434143}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers61460.2023.10431375","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/whispers61460.2023.10431375","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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":12,"referenced_works":["https://openalex.org/W2914331134","https://openalex.org/W2984140474","https://openalex.org/W2991616716","https://openalex.org/W3031696400","https://openalex.org/W3034421924","https://openalex.org/W3043181422","https://openalex.org/W3127180160","https://openalex.org/W3128571866","https://openalex.org/W3207127663","https://openalex.org/W3214821343","https://openalex.org/W4297094428","https://openalex.org/W4385346076"],"related_works":["https://openalex.org/W2385371209","https://openalex.org/W2911259277","https://openalex.org/W2800956885","https://openalex.org/W4250051149","https://openalex.org/W2533019003","https://openalex.org/W2083270190","https://openalex.org/W1788560349","https://openalex.org/W2626158795","https://openalex.org/W2078656815","https://openalex.org/W2391021239"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,27],"novel":[6],"dynamic":[7,21],"spatial-spectral":[8,28],"attention":[9,29,47],"network":[10],"(DSSAN)":[11],"for":[12,54],"the":[13,46,50,67],"classification":[14,75],"of":[15,69],"hyperspectral":[16],"images":[17],"(HSIs).":[18],"The":[19],"input-dependent":[20],"convolution":[22],"is":[23],"utilized":[24],"to":[25,31,73],"build":[26],"module":[30,48],"adaptively":[32],"recalibrate":[33],"spatial-":[34],"and":[35,77],"channel-wise":[36],"feature":[37,56],"responses,":[38],"extracting":[39],"more":[40],"discriminative":[41],"features.":[42],"We":[43],"further":[44],"integrate":[45],"with":[49],"residual":[51],"learning":[52],"framework":[53],"deep":[55],"learning.":[57],"Experimental":[58],"results":[59],"on":[60],"two":[61],"popular":[62],"HSI":[63],"benchmark":[64],"datasets":[65],"verified":[66],"superiority":[68],"our":[70],"DSSAN":[71],"due":[72],"higher":[74],"accuracy":[76],"fewer":[78],"parameters.":[79]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
