{"id":"https://openalex.org/W2909153271","doi":"https://doi.org/10.1109/dicta.2018.8615861","title":"2D Gabor-Based Sparse Representation Classification for Hyperspectral Imagery","display_name":"2D Gabor-Based Sparse Representation Classification for Hyperspectral Imagery","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2909153271","doi":"https://doi.org/10.1109/dicta.2018.8615861","mag":"2909153271"},"language":"en","primary_location":{"id":"doi:10.1109/dicta.2018.8615861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2018.8615861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-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/A5055246474","display_name":"Kuilin Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kuilin Wu","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035753061","display_name":"Sen Jia","orcid":"https://orcid.org/0000-0001-9742-5037"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sen Jia","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055246474"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":0.6171,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.75665775,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"8"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9857000112533569,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9847000241279602,"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":0.8870121240615845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7998096346855164},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7923886179924011},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6475496888160706},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5293505787849426},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4994804859161377},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4793004095554352},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.44091472029685974},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43532755970954895},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.43397724628448486},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.430198073387146},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4272375702857971},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4158238172531128},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29530930519104004}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8870121240615845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7998096346855164},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7923886179924011},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6475496888160706},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5293505787849426},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4994804859161377},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4793004095554352},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.44091472029685974},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43532755970954895},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.43397724628448486},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.430198073387146},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4272375702857971},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4158238172531128},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29530930519104004}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dicta.2018.8615861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2018.8615861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1979743748","https://openalex.org/W1998030734","https://openalex.org/W2001298023","https://openalex.org/W2049444988","https://openalex.org/W2069959554","https://openalex.org/W2083541351","https://openalex.org/W2087263574","https://openalex.org/W2097915756","https://openalex.org/W2113526566","https://openalex.org/W2118246710","https://openalex.org/W2118996198","https://openalex.org/W2121947440","https://openalex.org/W2125148312","https://openalex.org/W2129131372","https://openalex.org/W2129812935","https://openalex.org/W2131697388","https://openalex.org/W2135431554","https://openalex.org/W2144966944","https://openalex.org/W2168809519","https://openalex.org/W2171566342","https://openalex.org/W2280695970","https://openalex.org/W2548685720","https://openalex.org/W6677508755","https://openalex.org/W6677945368","https://openalex.org/W6694801765","https://openalex.org/W6729593259"],"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/W2374021060","https://openalex.org/W2005234362","https://openalex.org/W2162970382","https://openalex.org/W1997235926"],"abstract_inverted_index":{"Sparse":[0,50,107],"representation-based":[1],"classification":[2,132],"(SRC)":[3,110],"is":[4,94,111,127],"a":[5,39,45,65,83],"powerful":[6],"classifier":[7],"which":[8],"has":[9,57],"successfully":[10],"been":[11,58],"applied":[12,74,112],"to":[13,34,75,78,96,129],"hyperspectral":[14,61,76,100,139],"imagery":[15],"(HSI).":[16],"Considering":[17],"the":[18,30,35,98,106,114,121,131,147,156],"rich":[19],"information":[20],"of":[21,24,67,146],"spatial":[22],"structure":[23],"materials":[25],"in":[26,155],"HSI,":[27],"that":[28],"means":[29],"adjacent":[31],"pixels":[32],"belong":[33],"same":[36],"class":[37],"with":[38],"high":[40],"probability.":[41],"In":[42],"this":[43],"paper,":[44],"superpixel-level":[46],"2D":[47,116],"Gabor":[48,71,117],"based":[49],"Representation":[51,108],"Classification":[52,109],"approach":[53,150],"(abbreviated":[54],"as":[55],"SP-Gabor)":[56],"proposed":[59,148],"for":[60],"image":[62,101],"classification.":[63],"Firstly,":[64],"set":[66],"predefined":[68],"two-dimensional":[69],"(2D)":[70],"filters":[72],"are":[73],"images":[77],"extract":[79],"sufficient":[80],"features.":[81],"Meanwhile,":[82],"classic":[84],"superpixel":[85,122],"segmentation":[86],"method,":[87],"called":[88],"simple":[89],"linear":[90],"iterative":[91],"clustering":[92],"(SLIC),":[93],"adopted":[95],"divide":[97],"original":[99],"into":[102],"disjoint":[103],"superpixels.":[104],"Secondly,":[105],"on":[113,136],"combined":[115],"feature":[118],"cube.":[119],"Finally,":[120],"map":[123],"obtained":[124],"by":[125],"SLIC":[126],"used":[128],"regularize":[130],"map.":[133],"Extensive":[134],"experiments":[135],"two":[137],"real":[138],"data":[140],"sets":[141],"have":[142],"demonstrated":[143],"higher":[144],"performance":[145],"SP-Gabor":[149],"over":[151],"several":[152],"state-of-the-art":[153],"methods":[154],"literature.":[157]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}