{"id":"https://openalex.org/W4379527424","doi":"https://doi.org/10.1109/tgrs.2023.3283435","title":"Multiscale Attention Feature Aggregation Network for Cloud and Cloud Shadow Segmentation","display_name":"Multiscale Attention Feature Aggregation Network for Cloud and Cloud Shadow Segmentation","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4379527424","doi":"https://doi.org/10.1109/tgrs.2023.3283435"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3283435","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3283435","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","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/A5100437934","display_name":"Kai Chen","orcid":"https://orcid.org/0000-0002-6108-8283"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kai Chen","raw_affiliation_strings":["Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Big Data Analysis Technology (B-DAT), Nanjing University of Information Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Big Data Analysis Technology (B-DAT), Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045380530","display_name":"Min Xia","orcid":"https://orcid.org/0000-0003-4681-9129"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Xia","raw_affiliation_strings":["Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Big Data Analysis Technology (B-DAT), Nanjing University of Information Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Big Data Analysis Technology (B-DAT), Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058852174","display_name":"Haifeng Lin","orcid":"https://orcid.org/0000-0002-3835-6075"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Lin","raw_affiliation_strings":["College of Information Science and Technology, Nanjing Forestry University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Nanjing Forestry University, Nanjing, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029614711","display_name":"Ming Qian","orcid":"https://orcid.org/0000-0001-8687-1955"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Qian","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University (LIESMARS), Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University (LIESMARS), Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100437934"],"corresponding_institution_ids":["https://openalex.org/I200845125"],"apc_list":null,"apc_paid":null,"fwci":3.0222,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.91257656,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9941999912261963,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9941999912261963,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9890999794006348,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/computer-science","display_name":"Computer science","score":0.8466521501541138},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7774227857589722},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5766397714614868},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5254822373390198},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5159359574317932},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5125927329063416},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.47260504961013794},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44075414538383484},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4308623671531677},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.42328107357025146},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.353704571723938}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8466521501541138},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7774227857589722},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5766397714614868},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5254822373390198},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5159359574317932},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5125927329063416},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.47260504961013794},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44075414538383484},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4308623671531677},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.42328107357025146},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.353704571723938},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3283435","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3283435","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7717822188","display_name":null,"funder_award_id":"42075130","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W1920235975","https://openalex.org/W1923697677","https://openalex.org/W1940872118","https://openalex.org/W1981435276","https://openalex.org/W1986812789","https://openalex.org/W1992969120","https://openalex.org/W2019812041","https://openalex.org/W2028240797","https://openalex.org/W2108528407","https://openalex.org/W2128088741","https://openalex.org/W2147880316","https://openalex.org/W2151655373","https://openalex.org/W2194775991","https://openalex.org/W2395611524","https://openalex.org/W2412782625","https://openalex.org/W2560023338","https://openalex.org/W2593886839","https://openalex.org/W2597944323","https://openalex.org/W2630837129","https://openalex.org/W2752782242","https://openalex.org/W2799213142","https://openalex.org/W2884822772","https://openalex.org/W2887257732","https://openalex.org/W2898732869","https://openalex.org/W2899771611","https://openalex.org/W2923782278","https://openalex.org/W2940262938","https://openalex.org/W2947454963","https://openalex.org/W2981413347","https://openalex.org/W2981689412","https://openalex.org/W2997225633","https://openalex.org/W3037815104","https://openalex.org/W3117453769","https://openalex.org/W3196904463","https://openalex.org/W3200526086","https://openalex.org/W3209239396","https://openalex.org/W3214385370","https://openalex.org/W3217062060","https://openalex.org/W4200212016","https://openalex.org/W4206029744","https://openalex.org/W4206043501","https://openalex.org/W4206720335","https://openalex.org/W4220958657","https://openalex.org/W4281763314","https://openalex.org/W4285246187","https://openalex.org/W4285307646","https://openalex.org/W4293406525","https://openalex.org/W4311187275","https://openalex.org/W4319599426","https://openalex.org/W4324067486","https://openalex.org/W4353077760","https://openalex.org/W6631190155","https://openalex.org/W6639824700","https://openalex.org/W6640295612","https://openalex.org/W6640362995","https://openalex.org/W6678174250","https://openalex.org/W6682082992","https://openalex.org/W6717372056","https://openalex.org/W6739696289","https://openalex.org/W6751733626","https://openalex.org/W6756040250","https://openalex.org/W6761630670"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W4389340727","https://openalex.org/W4205786897","https://openalex.org/W3150465815","https://openalex.org/W1997222214","https://openalex.org/W2802581102","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Cloud":[0],"and":[1,27,30,44,53,59,100,157,173,196,205],"cloud":[2,52,54,172,174,193,202,227],"shadow":[3,55,203],"segmentation":[4,50,209],"is":[5,74,93,122,147,181,211,218],"one":[6],"of":[7,33,51,112,130,153,168,171,219,226],"the":[8,19,31,109,113,115,126,131,151,166,214,223],"most":[9],"important":[10],"problems":[11],"in":[12,48,162],"remote":[13],"sensing":[14],"image":[15],"processing.":[16],"Due":[17],"to":[18,21,64,95,107,124,134,149,164,213,222],"vulnerability":[20],"ground":[22],"object":[23],"interference,":[24],"noise":[25],"interference":[26],"other":[28,137],"factors,":[29],"lack":[32],"generalization":[34],"ability,":[35],"traditional":[36],"deep":[37,101,116],"learning":[38],"network":[39,73,133],"would":[40],"inevitably":[41],"lose":[42],"details":[43,170],"spatial":[45,102],"information,":[46],"resulting":[47],"imprecise":[49],"boundaries,":[56],"missing":[57],"detection":[58],"false":[60],"detection.":[61,228],"In":[62,105],"order":[63,106,163],"solve":[65],"these":[66],"problems,":[67],"a":[68,142,176],"multi-scale":[69,88,97],"attention":[70,91,120],"feature":[71,110,139,144],"aggregation":[72],"proposed,":[75],"which":[76,217],"extracts":[77],"semantic":[78,155],"information":[79,99,156],"at":[80],"different":[81],"levels":[82],"based":[83],"on":[84,200],"residual":[85],"network.":[86],"A":[87],"strip":[89],"pooling":[90],"module":[92,121,146],"designed":[94],"extract":[96],"context":[98],"channel":[103],"information.":[104,160],"improve":[108],"extraction":[111],"model,":[114],"multi-head":[117],"feedforward":[118],"transfer":[119],"introduced":[123],"enable":[125],"adjacent":[127],"two":[128],"layers":[129],"backbone":[132],"guide":[135,150],"each":[136],"for":[138],"mining.":[140],"Then,":[141],"bilateral":[143],"fusion":[145,152],"used":[148],"low-level":[154],"high-level":[158],"detail":[159],"Finally,":[161],"enhance":[165],"repair":[167],"boundary":[169,177],"shadow,":[175],"refinement":[178],"boosting":[179],"model":[180,189],"designed.":[182],"The":[183],"experimental":[184],"results":[185],"show":[186],"that":[187],"our":[188],"can":[190],"handle":[191],"complex":[192],"cover":[194],"scenes,":[195],"has":[197],"excellent":[198],"performance":[199],"cloud,":[201],"dataset":[204],"CSWV":[206],"dataset.":[207],"Its":[208],"accuracy":[210],"superior":[212],"existing":[215],"methods,":[216],"great":[220],"significance":[221],"related":[224],"work":[225]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2023-06-07T00:00:00"}