{"id":"https://openalex.org/W4388974676","doi":"https://doi.org/10.3390/e25121579","title":"Multi-Channel Representation Learning Enhanced Unfolding Multi-Scale Compressed Sensing Network for High Quality Image Reconstruction","display_name":"Multi-Channel Representation Learning Enhanced Unfolding Multi-Scale Compressed Sensing Network for High Quality Image Reconstruction","publication_year":2023,"publication_date":"2023-11-24","ids":{"openalex":"https://openalex.org/W4388974676","doi":"https://doi.org/10.3390/e25121579","pmid":"https://pubmed.ncbi.nlm.nih.gov/38136459"},"language":"en","primary_location":{"id":"doi:10.3390/e25121579","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25121579","pdf_url":"https://www.mdpi.com/1099-4300/25/12/1579/pdf?version=1700814856","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/25/12/1579/pdf?version=1700814856","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005777441","display_name":"Chunyan Zeng","orcid":"https://orcid.org/0000-0002-5799-6692"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyan Zeng","raw_affiliation_strings":["Hubei Key Laboratory for High-Efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan 430068, China"],"raw_orcid":"https://orcid.org/0000-0002-5799-6692","affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory for High-Efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan 430068, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035954665","display_name":"Shiyan Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyan Xia","raw_affiliation_strings":["Hubei Key Laboratory for High-Efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan 430068, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory for High-Efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan 430068, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008033496","display_name":"Zhifeng Wang","orcid":"https://orcid.org/0000-0001-6960-509X"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhifeng Wang","raw_affiliation_strings":["Department of Digital Media Technology, Central China Normal University, Wuhan 430079, China"],"raw_orcid":"https://orcid.org/0000-0001-6960-509X","affiliations":[{"raw_affiliation_string":"Department of Digital Media Technology, Central China Normal University, Wuhan 430079, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101831073","display_name":"Xiangkui Wan","orcid":"https://orcid.org/0000-0001-8871-3088"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangkui Wan","raw_affiliation_strings":["Hubei Key Laboratory for High-Efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan 430068, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory for High-Efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan 430068, China","institution_ids":["https://openalex.org/I74525822"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5008033496"],"corresponding_institution_ids":["https://openalex.org/I40963666"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.5844,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62610889,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"25","issue":"12","first_page":"1579","last_page":"1579"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.9993000030517578,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9990000128746033,"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/computer-science","display_name":"Computer science","score":0.7614399194717407},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6091684103012085},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5809205174446106},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5609994530677795},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5232369303703308},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.49471375346183777},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4917009472846985},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4684980511665344},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4466283619403839},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4456713795661926},{"id":"https://openalex.org/keywords/backbone-network","display_name":"Backbone network","score":0.43298566341400146},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.43056023120880127},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4177534580230713},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3928639888763428},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29230165481567383},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09466078877449036}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7614399194717407},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6091684103012085},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5809205174446106},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5609994530677795},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5232369303703308},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.49471375346183777},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4917009472846985},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4684980511665344},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4466283619403839},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4456713795661926},{"id":"https://openalex.org/C88796919","wikidata":"https://www.wikidata.org/wiki/Q1142907","display_name":"Backbone network","level":2,"score":0.43298566341400146},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.43056023120880127},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4177534580230713},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3928639888763428},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29230165481567383},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09466078877449036},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/e25121579","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25121579","pdf_url":"https://www.mdpi.com/1099-4300/25/12/1579/pdf?version=1700814856","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:38136459","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38136459","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10743111","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10743111","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10743111/pdf/entropy-25-01579.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:dccd61d65fb14d5eb074452edb455a98","is_oa":true,"landing_page_url":"https://doaj.org/article/dccd61d65fb14d5eb074452edb455a98","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 25, Iss 12, p 1579 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/e25121579","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25121579","pdf_url":"https://www.mdpi.com/1099-4300/25/12/1579/pdf?version=1700814856","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G2167415974","display_name":null,"funder_award_id":"61501199","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G347767690","display_name":null,"funder_award_id":"No. 62177022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5243396600","display_name":null,"funder_award_id":"61901165","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7841612594","display_name":null,"funder_award_id":"62177022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8983196404","display_name":null,"funder_award_id":"2022CFA007","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4388974676.pdf"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W1930824406","https://openalex.org/W1979479847","https://openalex.org/W1980038761","https://openalex.org/W2044129383","https://openalex.org/W2045737896","https://openalex.org/W2049502219","https://openalex.org/W2049819383","https://openalex.org/W2100556411","https://openalex.org/W2101675075","https://openalex.org/W2119667497","https://openalex.org/W2121927366","https://openalex.org/W2122548617","https://openalex.org/W2133665775","https://openalex.org/W2142245130","https://openalex.org/W2152171106","https://openalex.org/W2219727625","https://openalex.org/W2273561594","https://openalex.org/W2342838199","https://openalex.org/W2423236762","https://openalex.org/W2500374603","https://openalex.org/W2543013670","https://openalex.org/W2590877996","https://openalex.org/W2798559986","https://openalex.org/W2900808826","https://openalex.org/W2902719825","https://openalex.org/W2922509574","https://openalex.org/W2963081547","https://openalex.org/W2963206527","https://openalex.org/W2964178808","https://openalex.org/W2964350391","https://openalex.org/W2980149757","https://openalex.org/W2981551308","https://openalex.org/W3009991223","https://openalex.org/W3018622322","https://openalex.org/W3047238636","https://openalex.org/W3081833727","https://openalex.org/W3087291587","https://openalex.org/W3099751318","https://openalex.org/W3102722370","https://openalex.org/W3115447952","https://openalex.org/W3124596402","https://openalex.org/W3159998790","https://openalex.org/W3170885011","https://openalex.org/W3175316827","https://openalex.org/W3188921881","https://openalex.org/W3199084954","https://openalex.org/W3207346178","https://openalex.org/W3207407006","https://openalex.org/W4223631436","https://openalex.org/W4226232786","https://openalex.org/W4235713725","https://openalex.org/W4250955649","https://openalex.org/W4292363360","https://openalex.org/W4297371017","https://openalex.org/W4308234018","https://openalex.org/W4322765508"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2158224665","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2379589510","https://openalex.org/W2028665553","https://openalex.org/W4230315250"],"abstract_inverted_index":{"Deep":[0],"Unfolding":[1,106],"Networks":[2],"(DUNs)":[3],"serve":[4],"as":[5],"a":[6,19,96,111,140],"predominant":[7],"approach":[8],"for":[9],"Compressed":[10],"Sensing":[11],"(CS)":[12],"reconstruction":[13,68,86,99],"algorithms":[14],"by":[15],"harnessing":[16],"optimization.":[17],"However,":[18],"notable":[20],"constraint":[21,42],"within":[22],"the":[23,27,44,48,75,84,102,115,125,134,150,157,174,193],"DUN":[24],"framework":[25],"is":[26,143],"restriction":[28],"to":[29,52,55,123,145,153,200],"single-channel":[30,56],"inputs":[31],"and":[32,104,132,155,173,183],"outputs":[33],"at":[34],"each":[35],"stage":[36],"during":[37],"gradient":[38,130],"descent":[39],"computations.":[40],"This":[41],"compels":[43],"feature":[45,62,135],"maps":[46],"of":[47,77,117,127,189,196],"proximal":[49],"mapping":[50],"module":[51],"undergo":[53],"multi-channel":[54,112],"dimensionality":[57],"reduction,":[58],"resulting":[59],"in":[60,198],"limited":[61],"characterization":[63,137],"capabilities.":[64],"Furthermore,":[65],"most":[66],"prevalent":[67],"networks":[69],"rely":[70],"on":[71],"single-scale":[72],"structures,":[73],"neglecting":[74],"extraction":[76],"features":[78],"from":[79],"different":[80],"scales,":[81],"thereby":[82],"impeding":[83],"overall":[85],"network's":[87,151],"performance.":[88],"To":[89],"address":[90],"these":[91],"limitations,":[92],"this":[93],"paper":[94],"introduces":[95],"novel":[97],"CS":[98,203],"network":[100],"termed":[101],"Multi-channel":[103],"Multi-scale":[105,141],"Network":[107],"(MMU-Net).":[108],"MMU-Net":[109,197],"embraces":[110],"approach,":[113],"featuring":[114],"incorporation":[116],"Adap-SKConv":[118],"with":[119],"an":[120],"attention":[121],"mechanism":[122],"facilitate":[124],"exchange":[126],"information":[128],"between":[129],"terms":[131],"enhance":[133],"map's":[136],"capacity.":[138],"Moreover,":[139],"Block":[142],"introduced":[144],"extract":[146],"multi-scale":[147],"features,":[148],"bolstering":[149],"ability":[152],"characterize":[154],"reconstruct":[156],"images.":[158,186],"Our":[159],"study":[160,191],"extensively":[161],"evaluates":[162],"MMU-Net's":[163],"performance":[164,195],"across":[165],"multiple":[166],"benchmark":[167],"datasets,":[168],"including":[169],"Urban100,":[170],"Set11,":[171],"BSD68,":[172],"UC":[175],"Merced":[176],"Land":[177],"Use":[178],"Dataset,":[179],"encompassing":[180],"both":[181],"natural":[182],"remote":[184],"sensing":[185],"The":[187],"results":[188],"our":[190],"underscore":[192],"superior":[194],"comparison":[199],"existing":[201],"state-of-the-art":[202],"methods.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-24T13:16:06.693445","created_date":"2025-10-10T00:00:00"}
