{"id":"https://openalex.org/W2903037565","doi":"https://doi.org/10.1109/icpr.2018.8546077","title":"Generative Band Feature Enhancement for Hyperspectral Image Classification","display_name":"Generative Band Feature Enhancement for Hyperspectral Image Classification","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2903037565","doi":"https://doi.org/10.1109/icpr.2018.8546077","mag":"2903037565"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8546077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8546077","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"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/A5100679846","display_name":"Jiming Li","orcid":"https://orcid.org/0009-0000-2964-8650"},"institutions":[{"id":"https://openalex.org/I4210108177","display_name":"Zhejiang Police College","ror":"https://ror.org/01rxaf991","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210108177"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiming Li","raw_affiliation_strings":["Big Data Application Lab, Zhejiang Police College, Hangzhou, Zhejiang"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Big Data Application Lab, Zhejiang Police College, Hangzhou, Zhejiang","institution_ids":["https://openalex.org/I4210108177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011183246","display_name":"Fangjie Chen","orcid":"https://orcid.org/0000-0002-7584-799X"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangjie Chen","raw_affiliation_strings":["College of Information Engineering, Zhejiang University of Technology, Hangzhou, Zhejiang"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Zhejiang University of Technology, Hangzhou, Zhejiang","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028904238","display_name":"Dongyong Yang","orcid":"https://orcid.org/0000-0003-0754-8442"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongyong Yang","raw_affiliation_strings":["College of Information Engineering, Zhejiang University of Technology, Hangzhou, Zhejiang"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Zhejiang University of Technology, Hangzhou, Zhejiang","institution_ids":["https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.24890546,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"27","issue":null,"first_page":"1918","last_page":"1923"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"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":0.9995999932289124,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9984999895095825,"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":0.9973999857902527,"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":0.9262818098068237},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7966312170028687},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7255458831787109},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.677110493183136},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.631793737411499},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5818913578987122},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.504714846611023},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47536343336105347},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3650909662246704}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9262818098068237},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7966312170028687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7255458831787109},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.677110493183136},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.631793737411499},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5818913578987122},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.504714846611023},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47536343336105347},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3650909662246704},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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":1,"locations":[{"id":"doi:10.1109/icpr.2018.8546077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8546077","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1976359033","https://openalex.org/W1992961908","https://openalex.org/W2053186076","https://openalex.org/W2093126287","https://openalex.org/W2099471712","https://openalex.org/W2103094532","https://openalex.org/W2154872931","https://openalex.org/W2159070926","https://openalex.org/W2173520492","https://openalex.org/W2466704481","https://openalex.org/W2578341372","https://openalex.org/W4320013936","https://openalex.org/W6682644385"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2070598848","https://openalex.org/W2044184146","https://openalex.org/W4396941953","https://openalex.org/W2987280934","https://openalex.org/W4241564561"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5],"generative":[6,33,79],"method":[7,17],"for":[8],"the":[9,21,32,75,78],"feature":[10,81],"enhancement":[11,82],"of":[12,27,77],"hyperspectral":[13,28,44,72],"image":[14,45],"bands.":[15],"The":[16],"can":[18,47],"significantly":[19],"improve":[20],"discriminative":[22],"information":[23],"and":[24,57],"visible":[25],"quality":[26],"image.":[29],"Based":[30],"on":[31,70],"adversarial":[34],"networks":[35],"scheme,":[36],"randomly":[37],"sampled":[38],"small":[39],"band":[40,80],"subset":[41],"from":[42,54],"original":[43],"cube":[46],"be":[48],"used":[49],"to":[50],"disentangle":[51],"spectral":[52],"signals":[53],"noisy":[55],"bands":[56,60],"generate":[58],"new":[59],"which":[61],"achieves":[62],"much":[63],"better":[64],"performance":[65],"in":[66],"land-cover":[67],"classification.":[68],"Experiments":[69],"real":[71],"datasets":[73],"demonstrate":[74],"effectiveness":[76],"method.":[83]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}