{"id":"https://openalex.org/W2988698463","doi":"https://doi.org/10.1109/lgrs.2019.2949893","title":"Multiscale Superpixel Kernel-Based Low-Rank Representation for Hyperspectral Image Classification","display_name":"Multiscale Superpixel Kernel-Based Low-Rank Representation for Hyperspectral Image Classification","publication_year":2019,"publication_date":"2019-11-06","ids":{"openalex":"https://openalex.org/W2988698463","doi":"https://doi.org/10.1109/lgrs.2019.2949893","mag":"2988698463"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2019.2949893","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2949893","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"type":"article","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/A5038941441","display_name":"Tianming Zhan","orcid":"https://orcid.org/0000-0001-5030-3032"},"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"]},{"id":"https://openalex.org/I206777745","display_name":"Nanjing Audit University","ror":"https://ror.org/04zj2bd87","country_code":"CN","type":"education","lineage":["https://openalex.org/I206777745"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianming Zhan","raw_affiliation_strings":["Collaborative Innovation Center of Audit Information Engineering and Technology, Nanjing Audit University, Nanjing, China","Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-5030-3032","affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Audit Information Engineering and Technology, Nanjing Audit University, Nanjing, China","institution_ids":["https://openalex.org/I206777745"]},{"raw_affiliation_string":"Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101864487","display_name":"Zhenyu Lu","orcid":null},"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":"Zhenyu Lu","raw_affiliation_strings":["Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-2947-7163","affiliations":[{"raw_affiliation_string":"Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035419130","display_name":"Minghua Wan","orcid":"https://orcid.org/0000-0001-5725-6240"},"institutions":[{"id":"https://openalex.org/I206777745","display_name":"Nanjing Audit University","ror":"https://ror.org/04zj2bd87","country_code":"CN","type":"education","lineage":["https://openalex.org/I206777745"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghua Wan","raw_affiliation_strings":["School of Information Engineering, Nanjing Audit University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Nanjing Audit University, Nanjing, China","institution_ids":["https://openalex.org/I206777745"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037953083","display_name":"Guowei Yang","orcid":"https://orcid.org/0000-0002-5204-1766"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]},{"id":"https://openalex.org/I206777745","display_name":"Nanjing Audit University","ror":"https://ror.org/04zj2bd87","country_code":"CN","type":"education","lineage":["https://openalex.org/I206777745"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guowei Yang","raw_affiliation_strings":["School of Computer and Electronic Information, Qingdao University, Qingdao, China","School of Information Engineering, Nanjing Audit University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-5204-1766","affiliations":[{"raw_affiliation_string":"School of Computer and Electronic Information, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]},{"raw_affiliation_string":"School of Information Engineering, Nanjing Audit University, Nanjing, China","institution_ids":["https://openalex.org/I206777745"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9463,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.88286397,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"17","issue":"9","first_page":"1642","last_page":"1646"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9718999862670898,"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":0.9700999855995178,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.8254009485244751},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7508467435836792},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7096630930900574},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6656951904296875},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5317921042442322},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5061976313591003},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.42541757225990295},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4146689772605896},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.41362541913986206},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.39897939562797546},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3886318504810333},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22339826822280884}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.8254009485244751},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7508467435836792},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7096630930900574},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6656951904296875},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5317921042442322},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5061976313591003},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.42541757225990295},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4146689772605896},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.41362541913986206},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.39897939562797546},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3886318504810333},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22339826822280884},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2019.2949893","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2949893","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1009658786","display_name":null,"funder_award_id":"61976117","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3059471314","display_name":null,"funder_award_id":"BK20191409","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G3708466813","display_name":"\u57fa\u4e8eL1\u8303\u6570\u7684\u9c81\u68d2\u7a00\u758f\u7279\u5f81\u62bd\u53d6\u7b97\u6cd5\u7814\u7a76","funder_award_id":"61772277","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7850890711","display_name":null,"funder_award_id":"61876213","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8375654963","display_name":null,"funder_award_id":"61773220","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/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1971891445","https://openalex.org/W1979730959","https://openalex.org/W2073933500","https://openalex.org/W2118246710","https://openalex.org/W2135431554","https://openalex.org/W2141195754","https://openalex.org/W2164278908","https://openalex.org/W2164330327","https://openalex.org/W2334150308","https://openalex.org/W2338459354","https://openalex.org/W2470078595","https://openalex.org/W2518815253","https://openalex.org/W2523396434","https://openalex.org/W2548237597","https://openalex.org/W2558098092","https://openalex.org/W2617982036","https://openalex.org/W2773266593","https://openalex.org/W2789677693","https://openalex.org/W2804196292","https://openalex.org/W2897199189","https://openalex.org/W2903268675","https://openalex.org/W2908833896","https://openalex.org/W2914429466","https://openalex.org/W2927240970","https://openalex.org/W2949343319","https://openalex.org/W2966464530","https://openalex.org/W4292363360"],"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/W2005234362","https://openalex.org/W2162970382","https://openalex.org/W1997235926","https://openalex.org/W2599254681"],"abstract_inverted_index":{"Classification":[0],"plays":[1],"an":[2,96],"important":[3],"role":[4],"in":[5],"the":[6,48,57,64,68,81,99],"field":[7],"of":[8,98],"hyperspectral":[9],"image":[10],"(HSI)":[11],"remote":[12],"sensing.":[13],"In":[14],"this":[15],"letter,":[16],"a":[17,75],"novel":[18],"multiscale":[19,32,49,65,69],"superpixel":[20,33,50,70],"kernel-based":[21],"low-rank":[22,76],"representation":[23,77],"(MSKLRR)":[24],"classifier":[25,83],"is":[26,36,54,72],"proposed":[27,100],"for":[28,84],"HSI":[29,85],"classification.":[30,86],"A":[31],"segmentation":[34],"method":[35,101],"first":[37],"used":[38,93],"to":[39,79],"generate":[40,80],"several":[41],"homogeneous":[42],"regions":[43],"at":[44],"different":[45],"scales.":[46],"Then,":[47],"spectral-spatial":[51],"kernel":[52,62,71],"(SSK)":[53],"generated":[55],"using":[56],"radial":[58],"basis":[59],"function":[60],"(RBF)":[61],"on":[63],"superpixels.":[66],"Finally,":[67],"integrated":[73],"into":[74],"(LRR)":[78],"MSKLRR":[82],"The":[87],"experimental":[88],"results":[89],"with":[90],"two":[91],"widely":[92],"HSIs":[94],"suggest":[95],"advantage":[97],"over":[102],"other":[103],"classical":[104],"classification":[105],"methods.":[106]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
