{"id":"https://openalex.org/W7147537259","doi":"https://doi.org/10.1109/icvisp68610.2025.11451704","title":"Endmember Variation via Swarm Intelligence Optimization for Spatially Weighted Sparse Hyperspectral Unmixing","display_name":"Endmember Variation via Swarm Intelligence Optimization for Spatially Weighted Sparse Hyperspectral Unmixing","publication_year":2025,"publication_date":"2025-11-28","ids":{"openalex":"https://openalex.org/W7147537259","doi":"https://doi.org/10.1109/icvisp68610.2025.11451704"},"language":null,"primary_location":{"id":"doi:10.1109/icvisp68610.2025.11451704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icvisp68610.2025.11451704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 9th International Conference on Vision, Image and Signal Processing (ICVISP)","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/A5132625381","display_name":"Hongyu Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I198645480","display_name":"North China University of Water Resources and Electric Power","ror":"https://ror.org/03acrzv41","country_code":"CN","type":"education","lineage":["https://openalex.org/I198645480"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongyu Zhang","raw_affiliation_strings":["Jiangxi University of Water Resources and Electric Power,Nanchang,China,330099"],"affiliations":[{"raw_affiliation_string":"Jiangxi University of Water Resources and Electric Power,Nanchang,China,330099","institution_ids":["https://openalex.org/I198645480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126834620","display_name":"Shaoquan Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I198645480","display_name":"North China University of Water Resources and Electric Power","ror":"https://ror.org/03acrzv41","country_code":"CN","type":"education","lineage":["https://openalex.org/I198645480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoquan Zhang","raw_affiliation_strings":["Jiangxi University of Water Resources and Electric Power,Nanchang,China,330099"],"affiliations":[{"raw_affiliation_string":"Jiangxi University of Water Resources and Electric Power,Nanchang,China,330099","institution_ids":["https://openalex.org/I198645480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002332540","display_name":"Jiaqiang Zhou","orcid":"https://orcid.org/0000-0001-8372-0940"},"institutions":[{"id":"https://openalex.org/I198645480","display_name":"North China University of Water Resources and Electric Power","ror":"https://ror.org/03acrzv41","country_code":"CN","type":"education","lineage":["https://openalex.org/I198645480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqiang Zhou","raw_affiliation_strings":["Jiangxi University of Water Resources and Electric Power,Nanchang,China,330099"],"affiliations":[{"raw_affiliation_string":"Jiangxi University of Water Resources and Electric Power,Nanchang,China,330099","institution_ids":["https://openalex.org/I198645480"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiyu Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I198645480","display_name":"North China University of Water Resources and Electric Power","ror":"https://ror.org/03acrzv41","country_code":"CN","type":"education","lineage":["https://openalex.org/I198645480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiyu Chen","raw_affiliation_strings":["Jiangxi University of Water Resources and Electric Power,Nanchang,China,330099"],"affiliations":[{"raw_affiliation_string":"Jiangxi University of Water Resources and Electric Power,Nanchang,China,330099","institution_ids":["https://openalex.org/I198645480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021113910","display_name":"Zhigang Yang","orcid":"https://orcid.org/0000-0002-7268-5390"},"institutions":[{"id":"https://openalex.org/I198645480","display_name":"North China University of Water Resources and Electric Power","ror":"https://ror.org/03acrzv41","country_code":"CN","type":"education","lineage":["https://openalex.org/I198645480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Yang","raw_affiliation_strings":["Jiangxi University of Water Resources and Electric Power,Nanchang,China,330099"],"affiliations":[{"raw_affiliation_string":"Jiangxi University of Water Resources and Electric Power,Nanchang,China,330099","institution_ids":["https://openalex.org/I198645480"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101222788","display_name":"Bingqing Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092230","display_name":"Beijing Shijingshan Hospital","ror":"https://ror.org/00g87gv13","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210092230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingqing Huang","raw_affiliation_strings":["Siwei Shijing Technology (Beijing) Co.,Ltd.,Beijing,China,100190"],"affiliations":[{"raw_affiliation_string":"Siwei Shijing Technology (Beijing) Co.,Ltd.,Beijing,China,100190","institution_ids":["https://openalex.org/I4210092230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5132625381"],"corresponding_institution_ids":["https://openalex.org/I198645480"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.74101241,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9836999773979187,"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":0.9836999773979187,"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":0.00430000014603138,"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":0.0020000000949949026,"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/endmember","display_name":"Endmember","score":0.9090999960899353},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9007999897003174},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6787999868392944},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5877000093460083},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5055000185966492},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.4106999933719635}],"concepts":[{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.9090999960899353},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9007999897003174},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6787999868392944},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5877000093460083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5374000072479248},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5055000185966492},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46939998865127563},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.4106999933719635},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.36719998717308044},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3646000027656555},{"id":"https://openalex.org/C176641082","wikidata":"https://www.wikidata.org/wiki/Q2446767","display_name":"Spectral signature","level":2,"score":0.3440000116825104},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.33970001339912415},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.3325999975204468},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31470000743865967},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27720001339912415},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2671999931335449},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.2655999958515167}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icvisp68610.2025.11451704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icvisp68610.2025.11451704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 9th International Conference on Vision, Image and Signal Processing (ICVISP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5605828762054443},{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.43681854009628296}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1524571335","https://openalex.org/W2042626896","https://openalex.org/W2097073572","https://openalex.org/W2127827417","https://openalex.org/W2347044882","https://openalex.org/W2755992512","https://openalex.org/W2963982292","https://openalex.org/W3043084891","https://openalex.org/W3158091052","https://openalex.org/W3212386989","https://openalex.org/W4225124451","https://openalex.org/W4233760599","https://openalex.org/W4392284379","https://openalex.org/W4392667183","https://openalex.org/W4392677642","https://openalex.org/W4394828107","https://openalex.org/W4401885012","https://openalex.org/W4409606511","https://openalex.org/W4410171484","https://openalex.org/W4411046759","https://openalex.org/W4411958120"],"related_works":[],"abstract_inverted_index":{"Spectral":[0],"unmixing":[1,30,44,53,61,118,127],"is":[2,64,76,86,100],"a":[3,50],"crucial":[4],"preprocessing":[5],"step":[6],"in":[7,39,66],"hyperspectral":[8,60],"image":[9],"analysis.":[10],"However,":[11],"spectral":[12,36,123],"variability":[13,81],"caused":[14],"by":[15],"illumination,":[16],"atmospheric":[17],"conditions,":[18],"and":[19,88],"other":[20],"factors":[21],"severely":[22],"affects":[23],"the":[24,70,103],"accuracy":[25],"of":[26,107],"material":[27],"discrimination.":[28],"Linear":[29],"models":[31],"fail":[32],"to":[33,78,94,115],"adequately":[34],"capture":[35],"variability,":[37,124],"resulting":[38],"imprecise":[40],"or":[41],"even":[42],"invalid":[43],"outcomes.":[45],"To":[46],"address":[47],"this":[48,67],"issue,":[49],"novel":[51],"linear":[52],"method,":[54],"termed":[55],"swarm":[56,72],"intelligence-optimized":[57],"spatially":[58],"constrained":[59],"algorithm":[62,75],"(SOSHU),":[63],"proposed":[65],"study.":[68],"Specifically,":[69],"particle":[71],"optimization":[73],"(PSO)":[74],"employed":[77],"optimize":[79],"endmember":[80],"data.":[82],"Additionally,":[83],"spatial":[84,90,96],"information":[85],"exploited,":[87],"adaptive":[89],"weights":[91],"are":[92],"introduced":[93],"enhance":[95],"smoothing.":[97],"The":[98],"model":[99],"solved":[101],"using":[102],"alternating":[104],"direction":[105],"method":[106],"multipliers":[108],"(ADMM).":[109],"Experimental":[110],"results":[111],"demonstrate":[112],"that,":[113],"compared":[114],"existing":[116],"advanced":[117],"methods,":[119],"SOSHU":[120],"effectively":[121],"handles":[122],"significantly":[125],"improving":[126],"accuracy.":[128]},"counts_by_year":[],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2026-04-02T00:00:00"}