{"id":"https://openalex.org/W3110753140","doi":"https://doi.org/10.1007/978-3-030-64556-4_55","title":"Hyperspectral Image Classification via Pyramid Graph Reasoning","display_name":"Hyperspectral Image Classification via Pyramid Graph Reasoning","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3110753140","doi":"https://doi.org/10.1007/978-3-030-64556-4_55","mag":"3110753140"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-64556-4_55","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-64556-4_55","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"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/A5036188652","display_name":"Tinghuai Wang","orcid":"https://orcid.org/0000-0002-7863-3516"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tinghuai Wang","raw_affiliation_strings":["Huawei Helsinki Research Center, Helsinki, Finland"],"raw_orcid":"https://orcid.org/0000-0002-7863-3516","affiliations":[{"raw_affiliation_string":"Huawei Helsinki Research Center, Helsinki, Finland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046286714","display_name":"Guangming Wang","orcid":"https://orcid.org/0000-0002-3431-3684"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guangming Wang","raw_affiliation_strings":["Huawei Helsinki Research Center, Helsinki, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Helsinki Research Center, Helsinki, Finland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053279110","display_name":"Kuan Eeik Tan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kuan Eeik Tan","raw_affiliation_strings":["Huawei Helsinki Research Center, Helsinki, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Helsinki Research Center, Helsinki, Finland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110150092","display_name":"Donghui Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donghui Tan","raw_affiliation_strings":["Huawei Technologies, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5036188652"],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":2.7119,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.91869179,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"707","last_page":"718"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9815999865531921,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9787999987602234,"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":0.7968775033950806},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7795510292053223},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6660959720611572},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.643082857131958},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6363738179206848},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.579940676689148},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5057861804962158},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.48290395736694336},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4742918312549591},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.46197381615638733},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.4349220395088196},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.4254390001296997},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2368527352809906},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.16692575812339783},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11558014154434204}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7968775033950806},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7795510292053223},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6660959720611572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.643082857131958},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6363738179206848},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.579940676689148},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5057861804962158},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.48290395736694336},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4742918312549591},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.46197381615638733},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.4349220395088196},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.4254390001296997},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2368527352809906},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.16692575812339783},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11558014154434204},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-64556-4_55","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-64556-4_55","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1966580635","https://openalex.org/W2008509935","https://openalex.org/W2029316659","https://openalex.org/W2030476695","https://openalex.org/W2092745549","https://openalex.org/W2194775991","https://openalex.org/W2237427287","https://openalex.org/W2406445210","https://openalex.org/W2415731916","https://openalex.org/W2500751094","https://openalex.org/W2519887557","https://openalex.org/W2548791488","https://openalex.org/W2611655888","https://openalex.org/W2614256707","https://openalex.org/W2626778328","https://openalex.org/W2741928574","https://openalex.org/W2750083646","https://openalex.org/W2792332881","https://openalex.org/W2793964374","https://openalex.org/W2808098982","https://openalex.org/W2888715336","https://openalex.org/W2892621946","https://openalex.org/W2924231817","https://openalex.org/W2963858333","https://openalex.org/W2964309882","https://openalex.org/W2987315422","https://openalex.org/W3101640299","https://openalex.org/W3103753223","https://openalex.org/W3105357426","https://openalex.org/W4240485910","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W3113091479","https://openalex.org/W2162899405","https://openalex.org/W941090075","https://openalex.org/W2044987316","https://openalex.org/W3134374554","https://openalex.org/W2237480245","https://openalex.org/W2075065631","https://openalex.org/W2519167559","https://openalex.org/W4311248832","https://openalex.org/W4388045316"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}