{"id":"https://openalex.org/W4292722752","doi":"https://doi.org/10.1007/s12145-022-00858-9","title":"A multiscale 3D convolution with context attention network for hyperspectral image classification","display_name":"A multiscale 3D convolution with context attention network for hyperspectral image classification","publication_year":2022,"publication_date":"2022-08-23","ids":{"openalex":"https://openalex.org/W4292722752","doi":"https://doi.org/10.1007/s12145-022-00858-9"},"language":"en","primary_location":{"id":"doi:10.1007/s12145-022-00858-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s12145-022-00858-9","pdf_url":null,"source":{"id":"https://openalex.org/S198914822","display_name":"Earth Science Informatics","issn_l":"1865-0473","issn":["1865-0473","1865-0481"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Earth Science Informatics","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/A5064192521","display_name":"Linfeng Wu","orcid":"https://orcid.org/0000-0003-0036-0455"},"institutions":[{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Linfeng Wu","raw_affiliation_strings":["College of Geophysics, Chengdu University of Technology, Chengdu, 610059, China"],"affiliations":[{"raw_affiliation_string":"College of Geophysics, Chengdu University of Technology, Chengdu, 610059, China","institution_ids":["https://openalex.org/I31595395"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100602262","display_name":"Huajun Wang","orcid":"https://orcid.org/0000-0002-2371-1150"},"institutions":[{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huajun Wang","raw_affiliation_strings":["College of Geophysics, Chengdu University of Technology, Chengdu, 610059, China"],"affiliations":[{"raw_affiliation_string":"College of Geophysics, Chengdu University of Technology, Chengdu, 610059, China","institution_ids":["https://openalex.org/I31595395"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100378754","display_name":"Tong Zhang","orcid":"https://orcid.org/0000-0001-6212-4891"},"institutions":[{"id":"https://openalex.org/I4210131342","display_name":"Yibin University","ror":"https://ror.org/03w8m2977","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131342"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Zhang","raw_affiliation_strings":["School of Physics and Electronic Engineering, Yibin University, Yibin, 644000, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Engineering, Yibin University, Yibin, 644000, China","institution_ids":["https://openalex.org/I4210131342"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064192521"],"corresponding_institution_ids":["https://openalex.org/I31595395"],"apc_list":{"value":2690,"currency":"EUR","value_usd":3390},"apc_paid":null,"fwci":0.3384,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62289608,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"15","issue":"4","first_page":"2553","last_page":"2569"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.992900013923645,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9912999868392944,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7401485443115234},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7361055612564087},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7258395552635193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6962468028068542},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6743006110191345},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6414085626602173},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6243807673454285},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6201609373092651},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.5524913668632507},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5374221801757812},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5195332169532776},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4610016345977783},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45337507128715515},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43317508697509766},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4316721558570862},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32538801431655884},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.281643271446228}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7401485443115234},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7361055612564087},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7258395552635193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6962468028068542},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6743006110191345},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6414085626602173},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6243807673454285},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6201609373092651},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.5524913668632507},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5374221801757812},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5195332169532776},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4610016345977783},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45337507128715515},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43317508697509766},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4316721558570862},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32538801431655884},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.281643271446228},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s12145-022-00858-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s12145-022-00858-9","pdf_url":null,"source":{"id":"https://openalex.org/S198914822","display_name":"Earth Science Informatics","issn_l":"1865-0473","issn":["1865-0473","1865-0481"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Earth Science Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1483589200","https://openalex.org/W2098057602","https://openalex.org/W2101711129","https://openalex.org/W2104269704","https://openalex.org/W2171029115","https://openalex.org/W2407545225","https://openalex.org/W2500751094","https://openalex.org/W2595902385","https://openalex.org/W2625326743","https://openalex.org/W2749506874","https://openalex.org/W2749678245","https://openalex.org/W2760217853","https://openalex.org/W2764276316","https://openalex.org/W2767651786","https://openalex.org/W2767805377","https://openalex.org/W2784118841","https://openalex.org/W2792885468","https://openalex.org/W2793888044","https://openalex.org/W2804458818","https://openalex.org/W2804902458","https://openalex.org/W2822065499","https://openalex.org/W2888037785","https://openalex.org/W2888214130","https://openalex.org/W2894165434","https://openalex.org/W2941141441","https://openalex.org/W2948157022","https://openalex.org/W2955058313","https://openalex.org/W2963446712","https://openalex.org/W3048862661","https://openalex.org/W3072011699","https://openalex.org/W3113649568","https://openalex.org/W3125860323","https://openalex.org/W3130652158","https://openalex.org/W3146366485","https://openalex.org/W3161332183","https://openalex.org/W3172276551","https://openalex.org/W3186918158","https://openalex.org/W3193656970","https://openalex.org/W3196922466","https://openalex.org/W3199188494","https://openalex.org/W3209340886","https://openalex.org/W3212386989","https://openalex.org/W4210801462","https://openalex.org/W4256310901","https://openalex.org/W4283257312"],"related_works":["https://openalex.org/W1574414179","https://openalex.org/W4362597605","https://openalex.org/W4297676672","https://openalex.org/W4281702477","https://openalex.org/W2922073769","https://openalex.org/W4378510483","https://openalex.org/W2490526372","https://openalex.org/W3040691452","https://openalex.org/W2761785940","https://openalex.org/W3128011703"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}