{"id":"https://openalex.org/W4407737735","doi":"https://doi.org/10.1109/whispers65427.2024.10876500","title":"Class-Specific Spatial-Aware Collaborative Representation for Hyperspectral Image Classification","display_name":"Class-Specific Spatial-Aware Collaborative Representation for Hyperspectral Image Classification","publication_year":2024,"publication_date":"2024-12-09","ids":{"openalex":"https://openalex.org/W4407737735","doi":"https://doi.org/10.1109/whispers65427.2024.10876500"},"language":"en","primary_location":{"id":"doi:10.1109/whispers65427.2024.10876500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers65427.2024.10876500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)","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/A5029409945","display_name":"Chiranjibi Shah","orcid":"https://orcid.org/0000-0002-7712-8585"},"institutions":[{"id":"https://openalex.org/I2802162544","display_name":"Northern Gulf Institute","ror":"https://ror.org/018qsef31","country_code":"US","type":"facility","lineage":["https://openalex.org/I1308126019","https://openalex.org/I1343035065","https://openalex.org/I2802162544"]},{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chiranjibi Shah","raw_affiliation_strings":["Northern Gulf Institute, Mississippi State University,USA"],"affiliations":[{"raw_affiliation_string":"Northern Gulf Institute, Mississippi State University,USA","institution_ids":["https://openalex.org/I2802162544","https://openalex.org/I99041443"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033017179","display_name":"Qian Du","orcid":"https://orcid.org/0000-0001-8354-7500"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qian Du","raw_affiliation_strings":["Mississippi State University,Department of Electrical and Computer Engineering,USA"],"affiliations":[{"raw_affiliation_string":"Mississippi State University,Department of Electrical and Computer Engineering,USA","institution_ids":["https://openalex.org/I99041443"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5029409945"],"corresponding_institution_ids":["https://openalex.org/I2802162544","https://openalex.org/I99041443"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40584336,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9961000084877014,"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":0.9961000084877014,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.98089998960495,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9003999829292297,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8922039270401001},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7028297185897827},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5436131954193115},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5436010956764221},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5351620316505432},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5071845054626465},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4923602342605591},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40310579538345337},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3401946425437927},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32281070947647095},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17323479056358337}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8922039270401001},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7028297185897827},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5436131954193115},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5436010956764221},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5351620316505432},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5071845054626465},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4923602342605591},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40310579538345337},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3401946425437927},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32281070947647095},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17323479056358337},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers65427.2024.10876500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers65427.2024.10876500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)","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":0,"referenced_works":[],"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/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W2070598848","https://openalex.org/W2019190440","https://openalex.org/W3034864990"],"abstract_inverted_index":{"The":[0,123],"collaborative":[1],"representation":[2,51,71],"classifier":[3],"(CRC)":[4],"has":[5],"been":[6],"widely":[7],"applied":[8],"in":[9,33],"hyperspectral":[10,138],"image":[11,139],"classification,":[12],"leveraging":[13],"training":[14,37,57,77],"samples":[15,38],"to":[16,26,100,119],"collaboratively":[17],"represent":[18],"a":[19,27,109],"testing":[20,59,79],"sample.":[21],"Despite":[22],"its":[23,131],"efficiency":[24],"due":[25],"closed-form":[28],"solution,":[29],"CRC":[30,67,83],"faces":[31],"challenges":[32],"handling":[34],"variations":[35],"among":[36],"and":[39,58,78,115,136],"maintaining":[40],"spatial":[41,64,114],"coherence.":[42],"Tikhonov":[43],"regularization":[44],"addresses":[45],"these":[46,121],"issues":[47],"by":[48,94],"penalizing":[49],"large":[50],"coefficients":[52,72],"when":[53],"discrepancies":[54],"arise":[55],"between":[56,76],"samples.":[60,80],"To":[61],"further":[62],"enhance":[63],"coherence,":[65],"spatial-aware":[66],"(SaCRC)":[68],"spatially":[69],"aligns":[70],"based":[73],"on":[74],"distances":[75],"However,":[81],"existing":[82],"methods":[84],"struggle":[85],"with":[86],"class-specific":[87,110],"representation,":[88],"which,":[89],"while":[90],"reducing":[91],"computational":[92],"costs":[93],"inverting":[95],"smaller":[96],"matrices,":[97],"may":[98],"fail":[99],"mitigate":[101],"interference":[102],"from":[103],"other":[104],"classes.":[105],"This":[106],"study":[107],"introduces":[108],"SaCRC":[111],"framework,":[112],"integrating":[113],"multiple":[116],"coefficient":[117],"constraints":[118],"address":[120],"gaps.":[122],"proposed":[124],"method":[125],"achieves":[126],"improved":[127],"classification":[128],"performance,":[129],"demonstrating":[130],"potential":[132],"for":[133],"more":[134],"accurate":[135],"efficient":[137],"analysis.":[140]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
