{"id":"https://openalex.org/W3129770188","doi":"https://doi.org/10.1007/s11036-020-01703-3","title":"Convolutional Neural Network for the Semantic Segmentation of Remote Sensing Images","display_name":"Convolutional Neural Network for the Semantic Segmentation of Remote Sensing Images","publication_year":2021,"publication_date":"2021-02-01","ids":{"openalex":"https://openalex.org/W3129770188","doi":"https://doi.org/10.1007/s11036-020-01703-3","mag":"3129770188"},"language":"en","primary_location":{"id":"doi:10.1007/s11036-020-01703-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11036-020-01703-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11036-020-01703-3.pdf","source":{"id":"https://openalex.org/S192894947","display_name":"Mobile Networks and Applications","issn_l":"1383-469X","issn":["1383-469X","1572-8153"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Networks and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11036-020-01703-3.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047146376","display_name":"Muhammad Alam","orcid":"https://orcid.org/0000-0003-3415-6014"},"institutions":[{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]},{"id":"https://openalex.org/I28257850","display_name":"London South Bank University","ror":"https://ror.org/02vwnat91","country_code":"GB","type":"education","lineage":["https://openalex.org/I28257850"]}],"countries":["GB","PT"],"is_corresponding":true,"raw_author_name":"Muhammad Alam","raw_affiliation_strings":["Instituto de Telecomunica\u00e7\u00f5es, Campus Universit\u00e1rio de Santiago, Aveiro, Portugal","School of Engineering, London South Bank University, London, UK"],"affiliations":[{"raw_affiliation_string":"Instituto de Telecomunica\u00e7\u00f5es, Campus Universit\u00e1rio de Santiago, Aveiro, Portugal","institution_ids":["https://openalex.org/I4210120471"]},{"raw_affiliation_string":"School of Engineering, London South Bank University, London, UK","institution_ids":["https://openalex.org/I28257850"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358518","display_name":"Jianfeng Wang","orcid":"https://orcid.org/0000-0002-7195-3146"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jian-Feng Wang","raw_affiliation_strings":["Suzhou Life Intelligence Industry Research Institute, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"Suzhou Life Intelligence Industry Research Institute, Suzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084724372","display_name":"Guangpei Cong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210128140","display_name":"Guangdong University of Petrochemical Technology","ror":"https://ror.org/030ffke25","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210128140"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Guangpei","raw_affiliation_strings":["Guangdong Institute of Petrochemical Technology, Maoming, 525000, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Institute of Petrochemical Technology, Maoming, 525000, Guangdong, China","institution_ids":["https://openalex.org/I4210128140"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113933663","display_name":"LV Yunrong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210128140","display_name":"Guangdong University of Petrochemical Technology","ror":"https://ror.org/030ffke25","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210128140"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"LV Yunrong","raw_affiliation_strings":["Guangdong Institute of Petrochemical Technology, Maoming, 525000, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Institute of Petrochemical Technology, Maoming, 525000, Guangdong, China","institution_ids":["https://openalex.org/I4210128140"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107941676","display_name":"Yuanfang Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanfang Chen","raw_affiliation_strings":["Yuanfang Chen Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Yuanfang Chen Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5047146376"],"corresponding_institution_ids":["https://openalex.org/I28257850","https://openalex.org/I4210120471"],"apc_list":null,"apc_paid":null,"fwci":8.8114,"has_fulltext":true,"cited_by_count":101,"citation_normalized_percentile":{"value":0.98116693,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"26","issue":"1","first_page":"200","last_page":"215"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994999766349792,"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":0.9994999766349792,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9991000294685364,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9988999962806702,"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":0.9148290753364563},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.813521146774292},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.7910575866699219},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7633973360061646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.725816011428833},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5716636180877686},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5014336109161377},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4713194966316223},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45198217034339905},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.44016891717910767},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4227459728717804}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9148290753364563},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.813521146774292},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7910575866699219},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7633973360061646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.725816011428833},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5716636180877686},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5014336109161377},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4713194966316223},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45198217034339905},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.44016891717910767},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4227459728717804},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11036-020-01703-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11036-020-01703-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11036-020-01703-3.pdf","source":{"id":"https://openalex.org/S192894947","display_name":"Mobile Networks and Applications","issn_l":"1383-469X","issn":["1383-469X","1572-8153"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Networks and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11036-020-01703-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11036-020-01703-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11036-020-01703-3.pdf","source":{"id":"https://openalex.org/S192894947","display_name":"Mobile Networks and Applications","issn_l":"1383-469X","issn":["1383-469X","1572-8153"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Networks and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3129770188.pdf","grobid_xml":"https://content.openalex.org/works/W3129770188.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1665214252","https://openalex.org/W1677182931","https://openalex.org/W1745334888","https://openalex.org/W1870538900","https://openalex.org/W1901129140","https://openalex.org/W1909515874","https://openalex.org/W1923697677","https://openalex.org/W1938755728","https://openalex.org/W2007555690","https://openalex.org/W2046382188","https://openalex.org/W2079454091","https://openalex.org/W2082526668","https://openalex.org/W2097117768","https://openalex.org/W2098758111","https://openalex.org/W2100588357","https://openalex.org/W2101926813","https://openalex.org/W2111922314","https://openalex.org/W2125799222","https://openalex.org/W2129872026","https://openalex.org/W2133059825","https://openalex.org/W2143612262","https://openalex.org/W2148596671","https://openalex.org/W2163605009","https://openalex.org/W2169527406","https://openalex.org/W2300687442","https://openalex.org/W2302302587","https://openalex.org/W2412782625","https://openalex.org/W2443151581","https://openalex.org/W2507296351","https://openalex.org/W2522356675","https://openalex.org/W2548390752","https://openalex.org/W2563705555","https://openalex.org/W2630837129","https://openalex.org/W2750722971","https://openalex.org/W2949117887","https://openalex.org/W2951559648","https://openalex.org/W2963012544","https://openalex.org/W2963446712","https://openalex.org/W2963659230","https://openalex.org/W2963881378","https://openalex.org/W2964309882","https://openalex.org/W2997148986","https://openalex.org/W4206069814","https://openalex.org/W6600007113","https://openalex.org/W6679338098"],"related_works":["https://openalex.org/W2810679507","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W2022929107","https://openalex.org/W2055202857","https://openalex.org/W4205800335","https://openalex.org/W2758994127"],"abstract_inverted_index":{"Abstract":[0],"In":[1,24,85],"recent":[2],"years,":[3],"the":[4,18,34,43,80,101,107,111],"success":[5],"of":[6,20,37,62,82,109],"deep":[7],"learning":[8],"in":[9,17],"natural":[10],"scene":[11],"image":[12],"processing":[13],"boosted":[14],"its":[15],"application":[16],"analysis":[19],"remote":[21,38,63],"sensing":[22,39,64],"images.":[23,40,65],"this":[25],"paper,":[26],"we":[27,87],"applied":[28],"Convolutional":[29],"Neural":[30],"Networks":[31],"(CNN)":[32],"on":[33,79],"semantic":[35,60],"segmentation":[36,61,81,115,120],"We":[41],"improve":[42],"Encoder-":[44],"Decoder":[45],"CNN":[46],"structure":[47],"SegNet":[48],"with":[49],"index":[50],"pooling":[51],"and":[52,77,116],"U-net":[53],"to":[54,122],"make":[55],"them":[56],"suitable":[57],"for":[58,113],"multi-targets":[59],"The":[66],"results":[67,98],"show":[68,99],"that":[69,92,100],"these":[70,94,123],"two":[71,95,124],"models":[72,112],"have":[73],"their":[74],"own":[75],"advantages":[76,108],"disadvantages":[78],"different":[83],"objects.":[84],"addition,":[86],"propose":[88],"an":[89],"integrated":[90,103],"algorithm":[91,104],"integrates":[93],"models.":[96,125],"Experimental":[97],"presented":[102],"can":[105],"exploite":[106],"both":[110],"multi-target":[114],"achieve":[117],"a":[118],"better":[119],"compared":[121]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":21},{"year":2021,"cited_by_count":10}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2025-10-10T00:00:00"}