{"id":"https://openalex.org/W4399393988","doi":"https://doi.org/10.3390/rs16112026","title":"L1RR: Model Pruning Using Dynamic and Self-Adaptive Sparsity for Remote-Sensing Target Detection to Prevent Target Feature Loss","display_name":"L1RR: Model Pruning Using Dynamic and Self-Adaptive Sparsity for Remote-Sensing Target Detection to Prevent Target Feature Loss","publication_year":2024,"publication_date":"2024-06-05","ids":{"openalex":"https://openalex.org/W4399393988","doi":"https://doi.org/10.3390/rs16112026"},"language":"en","primary_location":{"id":"doi:10.3390/rs16112026","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16112026","pdf_url":"https://www.mdpi.com/2072-4292/16/11/2026/pdf?version=1717584012","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/16/11/2026/pdf?version=1717584012","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060998004","display_name":"Qiong Ran","orcid":"https://orcid.org/0000-0002-9423-5307"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiong Ran","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102765632","display_name":"Mengwei Li","orcid":"https://orcid.org/0009-0003-4356-8245"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengwei Li","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060938159","display_name":"Boya Zhao","orcid":"https://orcid.org/0000-0001-5620-406X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boya Zhao","raw_affiliation_strings":["Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114549556","display_name":"Zhipeng He","orcid":"https://orcid.org/0000-0003-0740-4959"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhipeng He","raw_affiliation_strings":["Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112014078","display_name":"Yuanfeng Wu","orcid":"https://orcid.org/0000-0001-8427-9851"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuanfeng Wu","raw_affiliation_strings":["Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5112014078"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.9594,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.77731808,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"16","issue":"11","first_page":"2026","last_page":"2026"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9926999807357788,"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":0.9926999807357788,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9886000156402588,"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.6889321208000183},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6376947164535522},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5421463251113892},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5394995212554932},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4666122794151306},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41543513536453247},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07218825817108154}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6889321208000183},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6376947164535522},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5421463251113892},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5394995212554932},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4666122794151306},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41543513536453247},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07218825817108154},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16112026","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16112026","pdf_url":"https://www.mdpi.com/2072-4292/16/11/2026/pdf?version=1717584012","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fc8c25894acc4773a75726dea6a59f58","is_oa":true,"landing_page_url":"https://doaj.org/article/fc8c25894acc4773a75726dea6a59f58","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 11, p 2026 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16112026","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16112026","pdf_url":"https://www.mdpi.com/2072-4292/16/11/2026/pdf?version=1717584012","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G3579516633","display_name":null,"funder_award_id":"2021YFA0715203","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399393988.pdf"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1836465849","https://openalex.org/W2005368619","https://openalex.org/W2107861471","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2570343428","https://openalex.org/W2577537809","https://openalex.org/W2613718673","https://openalex.org/W2765793020","https://openalex.org/W2808168148","https://openalex.org/W2962851801","https://openalex.org/W2963037989","https://openalex.org/W2963346150","https://openalex.org/W3038948729","https://openalex.org/W3041571781","https://openalex.org/W3103461182","https://openalex.org/W3106250896","https://openalex.org/W3139555693","https://openalex.org/W3202192104","https://openalex.org/W3207877247","https://openalex.org/W3215216361","https://openalex.org/W4210692941","https://openalex.org/W4212781487","https://openalex.org/W4283029931","https://openalex.org/W4289529347","https://openalex.org/W4294892430","https://openalex.org/W4301184452","https://openalex.org/W4311995747","https://openalex.org/W4317514624","https://openalex.org/W4320002812","https://openalex.org/W4361855179","https://openalex.org/W4362666020","https://openalex.org/W4365513629","https://openalex.org/W4384824602","https://openalex.org/W4386076325","https://openalex.org/W4386453675","https://openalex.org/W4389352554","https://openalex.org/W4391092606","https://openalex.org/W4396604605","https://openalex.org/W4404056517","https://openalex.org/W6752563896","https://openalex.org/W6791980023","https://openalex.org/W6802261959"],"related_works":["https://openalex.org/W2373300491","https://openalex.org/W2378744544","https://openalex.org/W2594301978","https://openalex.org/W2379704676","https://openalex.org/W1998810860","https://openalex.org/W4206442282","https://openalex.org/W2384505857","https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W4386159726"],"abstract_inverted_index":{"Limited":[0],"resources":[1],"for":[2,41,64,214],"edge":[3,33],"computing":[4,34],"platforms":[5],"in":[6,38,60,69,168,184],"airborne":[7],"and":[8,24,56,58,80,97,148,158,170,177,180,199,217],"spaceborne":[9],"imaging":[10],"payloads":[11],"prevent":[12],"using":[13,112],"complex":[14],"image":[15],"processing":[16,30],"models.":[17],"Model":[18],"pruning":[19,40,93,121,219],"can":[20],"eliminate":[21],"redundant":[22,71,132],"parameters":[23,169],"reduce":[25],"the":[26,46,75,88,107,140,185,189],"computational":[27],"load,":[28],"enhancing":[29,210],"efficiency":[31],"on":[32,161,188],"platforms.":[35],"Current":[36],"challenges":[37],"model":[39,78,156],"remote-sensing":[42,163],"object":[43],"detection":[44],"include":[45],"risk":[47],"of":[48,175],"losing":[49],"target":[50,109,197],"features,":[51],"particularly":[52],"during":[53],"sparse":[54,99],"training":[55],"pruning,":[57],"difficulties":[59],"maintaining":[61,139],"channel":[62,146,150,203,212],"correspondence":[63],"residual":[65,127,136,141],"structures,":[66],"often":[67],"resulting":[68],"retaining":[70],"features":[72,198],"that":[73],"compromise":[74],"balance":[76,154],"between":[77,155],"size":[79,157],"accuracy.":[81,159],"To":[82],"address":[83],"these":[84],"challenges,":[85],"we":[86,101,124],"propose":[87,125],"L1":[89,103],"reweighted":[90],"regularization":[91],"(L1RR)":[92],"method.":[94],"Leveraging":[95],"dynamic":[96],"self-adaptive":[98],"modules,":[100],"optimize":[102],"sparsity":[104],"regularization,":[105],"preserving":[106],"model\u2019s":[108],"feature":[110,114,133,202,211],"information":[111],"a":[113,126,153,181],"attention":[115],"loss":[116],"mechanism":[117],"to":[118,206,221],"determine":[119],"appropriate":[120],"ratios.":[122],"Additionally,":[123],"reconstruction":[128],"procedure,":[129],"which":[130],"removes":[131],"channels":[134],"from":[135],"structures":[137],"while":[138],"inference":[142,186],"structure":[143],"through":[144],"output":[145],"recombination":[147],"input":[149],"recombination,":[151],"achieving":[152],"Validation":[160],"two":[162],"datasets":[164],"demonstrates":[165],"significant":[166],"reductions":[167],"floating":[171],"point":[172],"operations":[173],"(FLOPs)":[174],"77.54%":[176],"65%,":[178],"respectively,":[179],"48.5%":[182],"increase":[183],"speed":[187],"Jetson":[190],"TX2":[191],"platform.":[192],"This":[193],"framework":[194],"optimally":[195],"maintains":[196],"effectively":[200],"distinguishes":[201],"importance":[204],"compared":[205],"other":[207],"methods,":[208],"significantly":[209],"robustness":[213],"difficult":[215,223],"targets":[216],"expanding":[218],"applicability":[220],"less":[222],"targets.":[224]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}