{"id":"https://openalex.org/W3112978863","doi":"https://doi.org/10.1109/smc42975.2020.9283340","title":"Identifying Poultry Farms from Satellite Images with Residual Dense U-Net","display_name":"Identifying Poultry Farms from Satellite Images with Residual Dense U-Net","publication_year":2020,"publication_date":"2020-10-11","ids":{"openalex":"https://openalex.org/W3112978863","doi":"https://doi.org/10.1109/smc42975.2020.9283340","mag":"3112978863"},"language":"en","primary_location":{"id":"doi:10.1109/smc42975.2020.9283340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc42975.2020.9283340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5071067398","display_name":"Kai-Yu Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kai-Yu Wen","raw_affiliation_strings":["Graduate Institute of Communication Engineering, National Chung Hsing University, Taichung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Communication Engineering, National Chung Hsing University, Taichung, Taiwan","institution_ids":["https://openalex.org/I162838928"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022418382","display_name":"Tsung-Jung Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tsung-Jung Liu","raw_affiliation_strings":["Graduate Institute of Communication Engineering, National Chung Hsing University, Taichung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Communication Engineering, National Chung Hsing University, Taichung, Taiwan","institution_ids":["https://openalex.org/I162838928"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036481579","display_name":"Kuan-Hsien Liu","orcid":"https://orcid.org/0000-0002-1411-2113"},"institutions":[{"id":"https://openalex.org/I131948415","display_name":"National Taichung University of Science and Technology","ror":"https://ror.org/05bgcav40","country_code":"TW","type":"education","lineage":["https://openalex.org/I131948415"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kuan-Hsien Liu","raw_affiliation_strings":["National Taichung University of Science and Technology, Taichung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taichung University of Science and Technology, Taichung, Taiwan","institution_ids":["https://openalex.org/I131948415"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013418726","display_name":"Day\u2010Yu Chao","orcid":"https://orcid.org/0000-0001-7139-026X"},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Day-Yu Chao","raw_affiliation_strings":["Graduate Institute of Microbiology and Public Health, National Chung Hsing University, Taichung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Microbiology and Public Health, National Chung Hsing University, Taichung, Taiwan","institution_ids":["https://openalex.org/I162838928"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"102","last_page":"107"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9962999820709229,"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":0.9962999820709229,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7912923097610474},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7159525752067566},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5954670310020447},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5506769418716431},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5443363785743713},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5437139868736267},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5287606120109558},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5127309560775757},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.5078094601631165},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.4984130859375},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42910251021385193},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2642335593700409},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.24541354179382324},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14220687747001648},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07171520590782166}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7912923097610474},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7159525752067566},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5954670310020447},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5506769418716431},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5443363785743713},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5437139868736267},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5287606120109558},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5127309560775757},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.5078094601631165},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.4984130859375},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42910251021385193},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2642335593700409},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.24541354179382324},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14220687747001648},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07171520590782166},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc42975.2020.9283340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc42975.2020.9283340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322108","display_name":"Ministry of Science and Technology","ror":"https://ror.org/032e49973"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1745334888","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1923697677","https://openalex.org/W2194775991","https://openalex.org/W2293307556","https://openalex.org/W2344482072","https://openalex.org/W2598551616","https://openalex.org/W2757094569","https://openalex.org/W2767660127","https://openalex.org/W2806581075","https://openalex.org/W2891963524","https://openalex.org/W2897941920","https://openalex.org/W2907363676","https://openalex.org/W2943229868","https://openalex.org/W2943488693","https://openalex.org/W2945887186","https://openalex.org/W2945957599","https://openalex.org/W2946726474","https://openalex.org/W2955034228","https://openalex.org/W2962835938","https://openalex.org/W2963446712","https://openalex.org/W2963881378","https://openalex.org/W2964101377","https://openalex.org/W2970695947","https://openalex.org/W2971172296","https://openalex.org/W6639824700","https://openalex.org/W6640295612"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W2626256601","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W4237547500","https://openalex.org/W147410782","https://openalex.org/W1570848052","https://openalex.org/W3022252430"],"abstract_inverted_index":{"In":[0,72],"this":[1],"paper,":[2],"we":[3,78,92],"proposed":[4,124],"a":[5],"convolutional":[6,96,110],"neural":[7],"network":[8,14],"called":[9],"residual":[10,81],"dense":[11,82],"U-Net.":[12],"This":[13],"is":[15],"devised":[16],"based":[17],"on":[18],"the":[19,30,34,37,51,73,80,94,99,108,113],"original":[20,38,100,114],"U-Net":[21,27,48,101,115],"network.":[22],"The":[23,45,123,138],"encoder-decoder":[24],"architecture":[25,102,116],"in":[26,47,98,112,133],"can":[28,49],"restore":[29],"feature":[31],"map":[32],"to":[33,57,129],"resolution":[35],"of":[36],"image":[39],"and":[40,55,63,75,152],"obtain":[41],"high-level":[42,60],"semantic":[43,61,65],"features.":[44],"skip-connection":[46],"fuse":[50],"features":[52,62,66],"after":[53,70],"up-sampling":[54],"down-sampling":[56],"prevent":[58],"both":[59],"low-level":[64],"from":[67,85,135],"being":[68],"lost":[69],"down-sampling.":[71],"encoder":[74],"decoder":[76],"parts,":[77],"utilize":[79],"block":[83],"(RDB)":[84],"Residual":[86],"Dense":[87],"Network.":[88],"Before":[89],"each":[90,106],"max-pooling,":[91],"replace":[93],"last":[95,109],"layer":[97,111],"with":[103,121],"RDB.":[104,122],"After":[105],"up-sampling,":[107],"will":[117,126,141],"also":[118],"be":[119,127,142],"replaced":[120],"method":[125],"used":[128],"find":[130],"poultry":[131],"farms":[132],"Taiwan":[134],"satellite":[136],"images.":[137],"prediction":[139],"results":[140],"evaluated":[143],"using":[144],"several":[145],"indicators":[146],"such":[147],"as":[148],"IOU,":[149],"precision,":[150],"recall,":[151],"F1-score.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}