{"id":"https://openalex.org/W3028160024","doi":"https://doi.org/10.1109/tgrs.2020.2991398","title":"CDnetV2: CNN-Based Cloud Detection for Remote Sensing Imagery With Cloud-Snow Coexistence","display_name":"CDnetV2: CNN-Based Cloud Detection for Remote Sensing Imagery With Cloud-Snow Coexistence","publication_year":2020,"publication_date":"2020-05-18","ids":{"openalex":"https://openalex.org/W3028160024","doi":"https://doi.org/10.1109/tgrs.2020.2991398","mag":"3028160024"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2020.2991398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.2991398","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/A5070758701","display_name":"Jianhua Guo","orcid":"https://orcid.org/0000-0003-3361-5135"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianhua Guo","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063288559","display_name":"Jingyu Yang","orcid":"https://orcid.org/0000-0002-7521-7920"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyu Yang","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033035049","display_name":"Huanjing Yue","orcid":"https://orcid.org/0000-0003-2517-9783"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanjing Yue","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061294272","display_name":"Hai Tan","orcid":"https://orcid.org/0000-0002-1760-202X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hai Tan","raw_affiliation_strings":["Land Satellite Remote Sensing Application Center, MNR, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Land Satellite Remote Sensing Application Center, MNR, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021778113","display_name":"Chunping Hou","orcid":"https://orcid.org/0000-0001-8772-0198"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunping Hou","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100377578","display_name":"Kun Li","orcid":"https://orcid.org/0000-0003-2326-0166"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Li","raw_affiliation_strings":["Tianjin Key Laboratory of Cognitive Computing and Application, School of Computer Science and Technology, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Cognitive Computing and Application, School of Computer Science and Technology, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5070758701"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":12.409,"has_fulltext":false,"cited_by_count":125,"citation_normalized_percentile":{"value":0.98684967,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"59","issue":"1","first_page":"700","last_page":"713"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9987999796867371,"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":0.9962999820709229,"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":0.8207092881202698},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.73051518201828},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5405570268630981},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49274972081184387},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.469521701335907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4544847011566162},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4511319100856781},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.340676873922348},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3403736352920532}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8207092881202698},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.73051518201828},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5405570268630981},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49274972081184387},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.469521701335907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4544847011566162},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4511319100856781},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.340676873922348},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3403736352920532},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2020.2991398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.2991398","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/G3976990965","display_name":null,"funder_award_id":"18JCYBJC19200","funder_id":"https://openalex.org/F4320326190","funder_display_name":"Tianjin Science and Technology Committee"},{"id":"https://openalex.org/G4788793057","display_name":null,"funder_award_id":"61672378","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5673975371","display_name":null,"funder_award_id":"61520106002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6694606572","display_name":null,"funder_award_id":"61771339","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"},{"id":"https://openalex.org/F4320326190","display_name":"Tianjin Science and Technology Committee","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":80,"referenced_works":["https://openalex.org/W104184427","https://openalex.org/W1532330336","https://openalex.org/W1665214252","https://openalex.org/W1686810756","https://openalex.org/W1821462560","https://openalex.org/W1836465849","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1976978666","https://openalex.org/W1992085857","https://openalex.org/W1998629401","https://openalex.org/W2006658325","https://openalex.org/W2018300239","https://openalex.org/W2025745000","https://openalex.org/W2028240797","https://openalex.org/W2029116331","https://openalex.org/W2032977485","https://openalex.org/W2084516844","https://openalex.org/W2117539524","https://openalex.org/W2118246710","https://openalex.org/W2302255633","https://openalex.org/W2402144811","https://openalex.org/W2560023338","https://openalex.org/W2584156879","https://openalex.org/W2590879802","https://openalex.org/W2605495192","https://openalex.org/W2623189630","https://openalex.org/W2707890836","https://openalex.org/W2746975468","https://openalex.org/W2748715875","https://openalex.org/W2752782242","https://openalex.org/W2775795276","https://openalex.org/W2806480185","https://openalex.org/W2884585870","https://openalex.org/W2886934227","https://openalex.org/W2887257732","https://openalex.org/W2888182230","https://openalex.org/W2895746732","https://openalex.org/W2895802136","https://openalex.org/W2900733456","https://openalex.org/W2901619292","https://openalex.org/W2908549901","https://openalex.org/W2909046249","https://openalex.org/W2910101086","https://openalex.org/W2910279167","https://openalex.org/W2914757358","https://openalex.org/W2922509574","https://openalex.org/W2923782278","https://openalex.org/W2927122915","https://openalex.org/W2937531545","https://openalex.org/W2939217524","https://openalex.org/W2945778316","https://openalex.org/W2946072066","https://openalex.org/W2949117887","https://openalex.org/W2949959536","https://openalex.org/W2953384591","https://openalex.org/W2963163009","https://openalex.org/W2963420686","https://openalex.org/W2963656735","https://openalex.org/W2963840672","https://openalex.org/W2963881378","https://openalex.org/W2963999097","https://openalex.org/W2964060775","https://openalex.org/W2964309882","https://openalex.org/W2979582818","https://openalex.org/W6604254268","https://openalex.org/W6637242042","https://openalex.org/W6637373629","https://openalex.org/W6638523607","https://openalex.org/W6638667902","https://openalex.org/W6639824700","https://openalex.org/W6696085341","https://openalex.org/W6698183232","https://openalex.org/W6713134421","https://openalex.org/W6735013348","https://openalex.org/W6739917289","https://openalex.org/W6747218270","https://openalex.org/W6748481559","https://openalex.org/W6753412334","https://openalex.org/W6754123467"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W3150465815","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W1997222214","https://openalex.org/W2560439919","https://openalex.org/W2095030957","https://openalex.org/W2066827917","https://openalex.org/W2952736244"],"abstract_inverted_index":{"Cloud":[0],"detection":[1,20,62,192,210],"is":[2,103,155,178],"a":[3,59,72,158],"crucial":[4],"preprocessing":[5],"step":[6],"for":[7,21],"optical":[8],"satellite":[9,32,199],"remote":[10],"sensing":[11],"(RS)":[12],"images.":[13],"This":[14],"article":[15],"focuses":[16],"on":[17,75,196],"the":[18,28,31,143,146,197,205],"cloud":[19,50,61,76,147,191],"RS":[22,46],"imagery":[23],"with":[24,65,79,168],"cloud-snow":[25],"coexistence":[26],"and":[27,41,95,123,175,188,212],"utilization":[29],"of":[30,38,44,138,142,145,153],"thumbnails":[33],"that":[34,88,204],"lose":[35],"considerable":[36],"amount":[37],"high":[39],"resolution":[40],"spectrum":[42],"information":[43,98,152],"original":[45],"images":[47],"to":[48,105,132,180],"extract":[49],"mask":[51],"efficiently.":[52],"To":[53],"tackle":[54],"this":[55],"problem,":[56],"we":[57],"propose":[58],"novel":[60,86],"neural":[63],"network":[64],"an":[66],"encoder-decoder":[67],"structure,":[68],"named":[69],"CDnetV2,":[70],"as":[71],"series":[73],"work":[74],"detection.":[77],"Compared":[78],"our":[80],"previous":[81],"CDnetV1,":[82],"CDnetV2":[83,139,177,207],"contains":[84],"two":[85,170],"modules,":[87,173],"is,":[89],"adaptive":[90],"feature":[91,108,134,161],"fusing":[92,162],"model":[93,116,121,127,163],"(AFFM)":[94],"high-level":[96,150,160],"semantic":[97,151],"guidance":[99],"flows":[100],"(HSIGFs).":[101],"AFFM":[102,174],"used":[104],"fuse":[106],"multilevel":[107],"maps":[109],"by":[110,157],"three":[111],"submodules:":[112],"channel":[113,124],"attention":[114,119,125],"fusion":[115,120],"(CAFM),":[117],"spatial":[118],"(SAFM),":[122],"refinement":[126],"(CARM).":[128],"HSIGFs":[129,154],"are":[130],"designed":[131],"make":[133],"layers":[135,187],"at":[136],"decoder":[137],"be":[140],"aware":[141],"locations":[144],"objects.":[148],"The":[149],"extracted":[156,184],"proposed":[159,171,206],"(HFFM).":[164],"By":[165],"being":[166],"equipped":[167],"these":[169],"key":[172],"HSIGFs,":[176],"able":[179],"fully":[181],"utilize":[182],"features":[183],"from":[185],"encoder":[186],"yield":[189],"accurate":[190,209],"results.":[193],"Experimental":[194],"results":[195],"ZY-3":[198],"thumbnail":[200],"data":[201],"set":[202],"demonstrate":[203],"achieves":[208],"accuracy":[211],"outperforms":[213],"several":[214],"state-of-the-art":[215],"methods.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":31},{"year":2023,"cited_by_count":26},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":17}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}