{"id":"https://openalex.org/W3204140858","doi":"https://doi.org/10.1155/2021/5078731","title":"Remote Sensing Image Semantic Segmentation Algorithm Based on Improved ENet Network","display_name":"Remote Sensing Image Semantic Segmentation Algorithm Based on Improved ENet Network","publication_year":2021,"publication_date":"2021-10-04","ids":{"openalex":"https://openalex.org/W3204140858","doi":"https://doi.org/10.1155/2021/5078731","mag":"3204140858"},"language":"en","primary_location":{"id":"doi:10.1155/2021/5078731","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/5078731","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/5078731.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/sp/2021/5078731.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011902773","display_name":"Yiqin Wang","orcid":"https://orcid.org/0000-0003-4970-9224"},"institutions":[{"id":"https://openalex.org/I4210095683","display_name":"Jinzhong University","ror":"https://ror.org/007ywhm20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210095683"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiqin Wang","raw_affiliation_strings":["School of Information Technology and Engineering, Jinzhong University, Jinzhong, Shanxi 030619, China"],"raw_orcid":"https://orcid.org/0000-0003-4970-9224","affiliations":[{"raw_affiliation_string":"School of Information Technology and Engineering, Jinzhong University, Jinzhong, Shanxi 030619, China","institution_ids":["https://openalex.org/I4210095683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5011902773"],"corresponding_institution_ids":["https://openalex.org/I4210095683"],"apc_list":{"value":1800,"currency":"USD","value_usd":2000},"apc_paid":{"value":1800,"currency":"USD","value_usd":2000},"fwci":1.0785,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.778697,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2021","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9822999835014343,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.7886112928390503},{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.7464911937713623},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6725984811782837},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6418936252593994},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5811029672622681},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.519943118095398},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5088136792182922},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4805736541748047},{"id":"https://openalex.org/keywords/decimation","display_name":"Decimation","score":0.4674226939678192},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4133346974849701},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3929618000984192},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3696276843547821},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29421934485435486},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.24409207701683044},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.12842941284179688}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.7886112928390503},{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.7464911937713623},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6725984811782837},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6418936252593994},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5811029672622681},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.519943118095398},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5088136792182922},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4805736541748047},{"id":"https://openalex.org/C173642442","wikidata":"https://www.wikidata.org/wiki/Q1253346","display_name":"Decimation","level":3,"score":0.4674226939678192},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4133346974849701},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3929618000984192},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3696276843547821},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29421934485435486},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.24409207701683044},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.12842941284179688},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2021/5078731","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/5078731","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/5078731.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3baef517490943b191adbe0af1c59fcf","is_oa":false,"landing_page_url":"https://doaj.org/article/3baef517490943b191adbe0af1c59fcf","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scientific Programming, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/5078731","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/5078731","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/5078731.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G470232324","display_name":null,"funder_award_id":"jzxycktd2019039","funder_id":"https://openalex.org/F4320316126","funder_display_name":"Jinzhong University"},{"id":"https://openalex.org/G56956633","display_name":null,"funder_award_id":"HLW-20111","funder_id":"https://openalex.org/F4320316126","funder_display_name":"Jinzhong University"}],"funders":[{"id":"https://openalex.org/F4320316126","display_name":"Jinzhong University","ror":"https://ror.org/007ywhm20"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3204140858.pdf","grobid_xml":"https://content.openalex.org/works/W3204140858.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W1923697677","https://openalex.org/W2624172411","https://openalex.org/W2744582969","https://openalex.org/W2771635595","https://openalex.org/W2779054585","https://openalex.org/W2781778455","https://openalex.org/W2792365373","https://openalex.org/W2883105896","https://openalex.org/W2912218772","https://openalex.org/W2919352650","https://openalex.org/W2927933146","https://openalex.org/W2943227603","https://openalex.org/W2946802127","https://openalex.org/W2963881378","https://openalex.org/W2993134750","https://openalex.org/W3006346547","https://openalex.org/W3022140654","https://openalex.org/W3023991509","https://openalex.org/W3027225766","https://openalex.org/W3036711011","https://openalex.org/W3041991648","https://openalex.org/W3087122056","https://openalex.org/W3090239664","https://openalex.org/W3100245404","https://openalex.org/W3110908156","https://openalex.org/W3129544296","https://openalex.org/W3132896347","https://openalex.org/W3187760235"],"related_works":["https://openalex.org/W3107204728","https://openalex.org/W4287591324","https://openalex.org/W3108503355","https://openalex.org/W3090555870","https://openalex.org/W4226420367","https://openalex.org/W2962876041","https://openalex.org/W3022820045","https://openalex.org/W2801655600","https://openalex.org/W2170324683","https://openalex.org/W2131820784"],"abstract_inverted_index":{"A":[0],"remote":[1,134],"sensing":[2,135],"image":[3,56,64,136],"semantic":[4,137],"segmentation":[5,121],"algorithm":[6,127],"based":[7],"on":[8],"improved":[9],"ENet":[10],"network":[11],"is":[12,69,97],"proposed":[13],"to":[14,40,99,117],"improve":[15,100,130],"the":[16,29,42,46,60,63,72,78,85,101,104,107,112,119,131],"accuracy":[17,102,132],"of":[18,45,55,66,84,93,103,133],"segmentation.":[19,138],"First,":[20],"dilated":[21],"convolution":[22,25,39,49],"and":[23,75,81,87,111],"decomposition":[24],"are":[26,33,115],"introduced":[27],"in":[28,35,59],"coding":[30],"stage.":[31],"They":[32],"used":[34,116],"conjunction":[36],"with":[37],"ordinary":[38],"increase":[41],"receptive":[43],"field":[44],"model.":[47],"Each":[48],"output":[50],"contains":[51],"a":[52],"larger":[53],"range":[54],"information.":[57],"Second,":[58],"decoding":[61],"stage,":[62],"information":[65],"different":[67],"scales":[68],"obtained":[70],"through":[71,77],"upsampling":[73],"operation":[74],"then":[76],"compression,":[79],"excitation,":[80],"reweighting":[82],"operations":[83],"Squeeze":[86],"Excitation":[88],"(SE)":[89],"module.":[90],"The":[91],"weight":[92],"each":[94],"feature":[95],"channel":[96],"recalibrated":[98],"network.":[105],"Finally,":[106],"Softmax":[108],"activation":[109],"function":[110,114],"Argmax":[113],"obtain":[118],"final":[120],"result.":[122],"Experiments":[123],"show":[124],"that":[125],"our":[126],"can":[128],"significantly":[129]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}