{"id":"https://openalex.org/W3197920859","doi":"https://doi.org/10.3390/rs13173497","title":"Patch-Wise Semantic Segmentation for Hyperspectral Images via a Cubic Capsule Network with EMAP Features","display_name":"Patch-Wise Semantic Segmentation for Hyperspectral Images via a Cubic Capsule Network with EMAP Features","publication_year":2021,"publication_date":"2021-09-03","ids":{"openalex":"https://openalex.org/W3197920859","doi":"https://doi.org/10.3390/rs13173497","mag":"3197920859"},"language":"en","primary_location":{"id":"doi:10.3390/rs13173497","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13173497","pdf_url":"https://www.mdpi.com/2072-4292/13/17/3497/pdf?version=1630920801","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/13/17/3497/pdf?version=1630920801","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059068224","display_name":"Le Sun","orcid":"https://orcid.org/0000-0001-6465-8678"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Sun","raw_affiliation_strings":["Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China","Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China","School of Computer, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China"],"raw_orcid":"https://orcid.org/0000-0001-6465-8678","affiliations":[{"raw_affiliation_string":"Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"School of Computer, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101743035","display_name":"Xiangbo Song","orcid":"https://orcid.org/0000-0002-9750-0292"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangbo Song","raw_affiliation_strings":["School of Computer, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048500233","display_name":"Huxiang Guo","orcid":"https://orcid.org/0000-0001-6413-5279"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huxiang Guo","raw_affiliation_strings":["School of Computer, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001810097","display_name":"Guangrui Zhao","orcid":"https://orcid.org/0000-0001-9613-9645"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangrui Zhao","raw_affiliation_strings":["School of Computer, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China"],"raw_orcid":"https://orcid.org/0000-0001-9613-9645","affiliations":[{"raw_affiliation_string":"School of Computer, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100630403","display_name":"Jinwei Wang","orcid":"https://orcid.org/0000-0002-9366-5671"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinwei Wang","raw_affiliation_strings":["School of Computer, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100630403"],"corresponding_institution_ids":["https://openalex.org/I200845125"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2784},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2784},"fwci":1.1766,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.79136505,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"13","issue":"17","first_page":"3497","last_page":"3497"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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":1.0,"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":0.9968000054359436,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9864000082015991,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7364016771316528},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6659485697746277},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6616421937942505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6504143476486206},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.5980382561683655},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5194268226623535},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45642396807670593},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.45473983883857727},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.43533527851104736},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42337051033973694},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.41847342252731323},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3741871118545532},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.061292946338653564}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7364016771316528},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6659485697746277},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6616421937942505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6504143476486206},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.5980382561683655},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5194268226623535},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45642396807670593},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.45473983883857727},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.43533527851104736},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42337051033973694},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.41847342252731323},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3741871118545532},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.061292946338653564},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs13173497","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13173497","pdf_url":"https://www.mdpi.com/2072-4292/13/17/3497/pdf?version=1630920801","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1b99c30159404a60be90170d8ce378ee","is_oa":true,"landing_page_url":"https://doaj.org/article/1b99c30159404a60be90170d8ce378ee","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 13, Iss 17, p 3497 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/17/3497/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13173497","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 13; Issue 17; Pages: 3497","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs13173497","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13173497","pdf_url":"https://www.mdpi.com/2072-4292/13/17/3497/pdf?version=1630920801","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4604277225","display_name":null,"funder_award_id":"61971233, 62076137, U1831127","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7317382233","display_name":null,"funder_award_id":"U1831127","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7699947468","display_name":null,"funder_award_id":"61971233","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8902066565","display_name":null,"funder_award_id":"62076137","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"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3197920859.pdf","grobid_xml":"https://content.openalex.org/works/W3197920859.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W1950365613","https://openalex.org/W2004754531","https://openalex.org/W2039409148","https://openalex.org/W2052160904","https://openalex.org/W2083595419","https://openalex.org/W2091707925","https://openalex.org/W2097915756","https://openalex.org/W2104877815","https://openalex.org/W2106777458","https://openalex.org/W2117507204","https://openalex.org/W2123450736","https://openalex.org/W2127199143","https://openalex.org/W2143354507","https://openalex.org/W2158400785","https://openalex.org/W2159070926","https://openalex.org/W2345118402","https://openalex.org/W2516176725","https://openalex.org/W2761818166","https://openalex.org/W2764276316","https://openalex.org/W2789643644","https://openalex.org/W2885269107","https://openalex.org/W2898381489","https://openalex.org/W2912371366","https://openalex.org/W2914331134","https://openalex.org/W2941387379","https://openalex.org/W2946747211","https://openalex.org/W2947104191","https://openalex.org/W2963703618","https://openalex.org/W2965417721","https://openalex.org/W2977002487","https://openalex.org/W2980054274","https://openalex.org/W2980346149","https://openalex.org/W2980930055","https://openalex.org/W2987753879","https://openalex.org/W2989184171","https://openalex.org/W3002674187","https://openalex.org/W3004617095","https://openalex.org/W3023351371","https://openalex.org/W3034102302","https://openalex.org/W3083760513","https://openalex.org/W3088464175","https://openalex.org/W3091030342","https://openalex.org/W3103750833","https://openalex.org/W3127230150","https://openalex.org/W3132524115","https://openalex.org/W3133704440","https://openalex.org/W3134490757","https://openalex.org/W3151841177","https://openalex.org/W3156646782","https://openalex.org/W3174236562","https://openalex.org/W3186879605","https://openalex.org/W4226410245","https://openalex.org/W6743446608","https://openalex.org/W6748053814","https://openalex.org/W6766850513","https://openalex.org/W6767968371","https://openalex.org/W6768771178"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W2060875994","https://openalex.org/W2027399350","https://openalex.org/W2044184146","https://openalex.org/W2964954556","https://openalex.org/W2890372105","https://openalex.org/W3019910406"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,23,32,110],"overcome":[3],"the":[4,12,21,25,30,34,39,91,112,118,125,132,135,138,145,155,163,179,187,190],"disadvantages":[5],"of":[6,27,86,117,134,144,158,168,189],"convolution":[7,152],"neural":[8,94],"network":[9,73,95],"(CNN)":[10],"in":[11,55,88,193],"current":[13],"hyperspectral":[14],"image":[15],"(HSI)":[16],"classification/segmentation":[17],"methods,":[18],"such":[19],"as":[20,131],"inability":[22],"recognize":[24],"rotation":[26],"spatial":[28,36,100,141],"objects,":[29],"difficulty":[31],"capture":[33,98],"fine":[35],"features":[37,69,78,85,101,116],"and":[38,70,90,124,140,154,173],"problem":[40],"that":[41],"principal":[42,119],"component":[43],"analysis":[44],"(PCA)":[45],"ignores":[46],"some":[47],"important":[48],"information":[49,143,157],"when":[50],"it":[51],"retains":[52],"few":[53],"components,":[54],"this":[56],"paper,":[57],"an":[58,169],"HSI":[59,146,159,185],"segmentation":[60,195],"model":[61],"based":[62],"on":[63,182],"extended":[64],"multi-morphological":[65],"attribute":[66,114],"profile":[67,84,115],"(EMAP)":[68],"cubic":[71,92,151],"capsule":[72,93,164,171,176],"(EMAP\u2013Cubic-Caps)":[74],"was":[75],"proposed.":[76],"EMAP":[77,106,126],"can":[79,96],"effectively":[80,97],"extract":[81,111],"various":[82],"attributes":[83],"entities":[87],"HSI,":[89],"complex":[99],"with":[102],"more":[103],"details.":[104],"Firstly,":[105],"algorithm":[107,192],"is":[108,129,147,160,196],"introduced":[109],"morphological":[113],"components":[120],"extracted":[121,148,161],"by":[122,149,162],"PCA,":[123],"feature":[127],"map":[128],"used":[130],"input":[133],"network.":[136],"Then,":[137],"spectral":[139],"low-layer":[142],"a":[150,174],"network,":[153],"high-layer":[156],"module,":[165],"which":[166],"consists":[167],"initial":[170],"layer":[172],"digital":[175],"layer.":[177],"Through":[178],"experimental":[180],"comparison":[181],"three":[183],"well-known":[184],"datasets,":[186],"superiority":[188],"proposed":[191],"semantic":[194],"validated.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2021-09-13T00:00:00"}
