{"id":"https://openalex.org/W2153811946","doi":"https://doi.org/10.1109/igarss.2013.6721187","title":"A nonlinear regression classification algorithm with small sample set for hyperspectral image","display_name":"A nonlinear regression classification algorithm with small sample set for hyperspectral image","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2153811946","doi":"https://doi.org/10.1109/igarss.2013.6721187","mag":"2153811946"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2013.6721187","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2013.6721187","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS","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/A5100446489","display_name":"Jiayi Li","orcid":"https://orcid.org/0000-0003-1691-9743"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayi Li","raw_affiliation_strings":["Mapping, and Remote Sensing, Wuhan University, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mapping, and Remote Sensing, Wuhan University, P.R. China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385579","display_name":"Hongyan Zhang","orcid":"https://orcid.org/0000-0002-7894-5755"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyan Zhang","raw_affiliation_strings":["Mapping, and Remote Sensing, Wuhan University, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mapping, and Remote Sensing, Wuhan University, P.R. China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100673818","display_name":"Liangpei Zhang","orcid":"https://orcid.org/0000-0001-6890-3650"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangpei Zhang","raw_affiliation_strings":["Mapping, and Remote Sensing, Wuhan University, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mapping, and Remote Sensing, Wuhan University, P.R. China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"441","last_page":"444"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9933000206947327,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9470999836921692,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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":0.8935226202011108},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6041799783706665},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.598921000957489},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5826364755630493},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5751429796218872},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5407298803329468},{"id":"https://openalex.org/keywords/nonlinear-regression","display_name":"Nonlinear regression","score":0.5214918851852417},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4922250807285309},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4776272177696228},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.43298637866973877},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4137667417526245},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3506832420825958},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.3485645651817322},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.29998084902763367},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15768694877624512}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8935226202011108},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6041799783706665},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.598921000957489},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5826364755630493},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5751429796218872},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5407298803329468},{"id":"https://openalex.org/C46889948","wikidata":"https://www.wikidata.org/wiki/Q2755024","display_name":"Nonlinear regression","level":3,"score":0.5214918851852417},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4922250807285309},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4776272177696228},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.43298637866973877},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4137667417526245},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3506832420825958},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.3485645651817322},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29998084902763367},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15768694877624512},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2013.6721187","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2013.6721187","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1532610010","https://openalex.org/W1672851775","https://openalex.org/W1967972920","https://openalex.org/W2051065934","https://openalex.org/W2097915756","https://openalex.org/W2100975942","https://openalex.org/W2165828254","https://openalex.org/W4248253651","https://openalex.org/W6684893555"],"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/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2163304574"],"abstract_inverted_index":{"A":[0],"column":[1],"generation":[2],"kernel":[3],"technology":[4],"based":[5],"nonlinear":[6,19,49],"regression":[7,25],"classification":[8],"method":[9],"for":[10,21],"hyperspectral":[11,41,62],"image":[12],"is":[13,26,37],"proposed":[14,35,48],"in":[15,28],"this":[16],"paper.":[17],"The":[18,34],"extension":[20],"the":[22,29,47,60],"collaborative":[23],"representation":[24],"utilized":[27],"joint":[30],"collaboration":[31],"model":[32],"framework.":[33],"algorithm":[36,50],"tested":[38],"on":[39],"two":[40],"images.":[42],"Experimental":[43],"results":[44],"suggest":[45],"that":[46],"shows":[51],"superior":[52],"performance":[53],"over":[54],"other":[55],"linear":[56],"regression-based":[57],"algorithms":[58],"and":[59],"classical":[61],"classifier":[63],"SVM.":[64]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}