{"id":"https://openalex.org/W1962098929","doi":"https://doi.org/10.1007/978-3-319-22180-9_68","title":"Supervised Feature Extraction of Hyperspectral Image by Preserving Spatial-Spectral and Local Topology","display_name":"Supervised Feature Extraction of Hyperspectral Image by Preserving Spatial-Spectral and Local Topology","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W1962098929","doi":"https://doi.org/10.1007/978-3-319-22180-9_68","mag":"1962098929"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-22180-9_68","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-22180-9_68","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":"book-chapter","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/A5100779162","display_name":"Peng Zhang","orcid":"https://orcid.org/0000-0001-5267-0936"},"institutions":[{"id":"https://openalex.org/I4210115813","display_name":"China National Commission for Disaster Reduction","ror":"https://ror.org/029j8j127","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210115813"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peng Zhang","raw_affiliation_strings":["Data Center, National Disaster Reduction Center of China, Beijing, People\u2032s Republic of China"],"affiliations":[{"raw_affiliation_string":"Data Center, National Disaster Reduction Center of China, Beijing, People\u2032s Republic of China","institution_ids":["https://openalex.org/I4210115813"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101569654","display_name":"Haixia He","orcid":"https://orcid.org/0000-0002-5132-4596"},"institutions":[{"id":"https://openalex.org/I4210115813","display_name":"China National Commission for Disaster Reduction","ror":"https://ror.org/029j8j127","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210115813"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haixia He","raw_affiliation_strings":["Department of Satellite Remote Sensing, National Disaster Reduction Center of China, Beijing, People\u2032s Republic of China"],"affiliations":[{"raw_affiliation_string":"Department of Satellite Remote Sensing, National Disaster Reduction Center of China, Beijing, People\u2032s Republic of China","institution_ids":["https://openalex.org/I4210115813"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024736241","display_name":"Zhou Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115813","display_name":"China National Commission for Disaster Reduction","ror":"https://ror.org/029j8j127","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210115813"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhou Sun","raw_affiliation_strings":["Data Center, National Disaster Reduction Center of China, Beijing, People\u2032s Republic of China"],"affiliations":[{"raw_affiliation_string":"Data Center, National Disaster Reduction Center of China, Beijing, People\u2032s Republic of China","institution_ids":["https://openalex.org/I4210115813"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089785339","display_name":"Chunbo Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115813","display_name":"China National Commission for Disaster Reduction","ror":"https://ror.org/029j8j127","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210115813"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunbo Fan","raw_affiliation_strings":["Data Center, National Disaster Reduction Center of China, Beijing, People\u2032s Republic of China"],"affiliations":[{"raw_affiliation_string":"Data Center, National Disaster Reduction Center of China, Beijing, People\u2032s Republic of China","institution_ids":["https://openalex.org/I4210115813"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100779162"],"corresponding_institution_ids":["https://openalex.org/I4210115813"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.05424697,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"682","last_page":"692"},"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":0.9958000183105469,"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":0.989300012588501,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8956664800643921},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7708750367164612},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6215620040893555},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.5812190771102905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5772931575775146},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5565069317817688},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5025832653045654},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44014257192611694},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.41867882013320923},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13710203766822815},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.0506245493888855}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8956664800643921},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7708750367164612},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6215620040893555},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.5812190771102905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5772931575775146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5565069317817688},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5025832653045654},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44014257192611694},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.41867882013320923},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13710203766822815},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0506245493888855},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-22180-9_68","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-22180-9_68","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":[{"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":24,"referenced_works":["https://openalex.org/W25833819","https://openalex.org/W84941271","https://openalex.org/W1870661746","https://openalex.org/W1876688746","https://openalex.org/W1990953362","https://openalex.org/W1996213136","https://openalex.org/W2001141328","https://openalex.org/W2008094348","https://openalex.org/W2019287283","https://openalex.org/W2044439250","https://openalex.org/W2053186076","https://openalex.org/W2063385051","https://openalex.org/W2098057602","https://openalex.org/W2103125780","https://openalex.org/W2103250033","https://openalex.org/W2111282613","https://openalex.org/W2131697388","https://openalex.org/W2140340527","https://openalex.org/W2142458747","https://openalex.org/W2151599207","https://openalex.org/W2159874418","https://openalex.org/W2165289391","https://openalex.org/W2167799103","https://openalex.org/W4247093658"],"related_works":["https://openalex.org/W3211035526","https://openalex.org/W4293272463","https://openalex.org/W2972973180","https://openalex.org/W1491778359","https://openalex.org/W2775464024","https://openalex.org/W2909041182","https://openalex.org/W2189927203","https://openalex.org/W2534909612","https://openalex.org/W2016461833","https://openalex.org/W2382607599"],"abstract_inverted_index":null,"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}