{"id":"https://openalex.org/W4200041005","doi":"https://doi.org/10.1109/ivcnz54163.2021.9653246","title":"Can a camera tell the weather?","display_name":"Can a camera tell the weather?","publication_year":2021,"publication_date":"2021-12-09","ids":{"openalex":"https://openalex.org/W4200041005","doi":"https://doi.org/10.1109/ivcnz54163.2021.9653246"},"language":"en","primary_location":{"id":"doi:10.1109/ivcnz54163.2021.9653246","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz54163.2021.9653246","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 36th International Conference on Image and Vision Computing New Zealand (IVCNZ)","raw_type":"proceedings-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/A5033352309","display_name":"Harsh Bhandari","orcid":null},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Harsh Bhandari","raw_affiliation_strings":["Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata"],"affiliations":[{"raw_affiliation_string":"Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata","institution_ids":["https://openalex.org/I6498739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044454651","display_name":"Sarbani Palit","orcid":"https://orcid.org/0000-0002-4105-6452"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sarbani Palit","raw_affiliation_strings":["Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata"],"affiliations":[{"raw_affiliation_string":"Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata","institution_ids":["https://openalex.org/I6498739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027326190","display_name":"Soumajit Chowdhury","orcid":null},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Soumajit Chowdhury","raw_affiliation_strings":["Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata"],"affiliations":[{"raw_affiliation_string":"Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata","institution_ids":["https://openalex.org/I6498739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082929621","display_name":"Prantik Dey","orcid":null},"institutions":[{"id":"https://openalex.org/I4210157579","display_name":"Shell (Japan)","ror":"https://ror.org/04jwy1234","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210157579","https://openalex.org/I7923278"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Prantik Dey","raw_affiliation_strings":["Royal Dutch Shell"],"affiliations":[{"raw_affiliation_string":"Royal Dutch Shell","institution_ids":["https://openalex.org/I4210157579"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5033352309"],"corresponding_institution_ids":["https://openalex.org/I6498739"],"apc_list":null,"apc_paid":null,"fwci":0.3843,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.62140523,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"31","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9993000030517578,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9948999881744385,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.7890080213546753},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7434936761856079},{"id":"https://openalex.org/keywords/sky","display_name":"Sky","score":0.6463773846626282},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5515291690826416},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5090076923370361},{"id":"https://openalex.org/keywords/weather-forecasting","display_name":"Weather forecasting","score":0.4638735055923462},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43588605523109436},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42167648673057556},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.334126740694046},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33074116706848145},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.10750019550323486}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7890080213546753},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7434936761856079},{"id":"https://openalex.org/C73329638","wikidata":"https://www.wikidata.org/wiki/Q527","display_name":"Sky","level":2,"score":0.6463773846626282},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5515291690826416},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5090076923370361},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.4638735055923462},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43588605523109436},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42167648673057556},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.334126740694046},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33074116706848145},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.10750019550323486},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivcnz54163.2021.9653246","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz54163.2021.9653246","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 36th International Conference on Image and Vision Computing New Zealand (IVCNZ)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1884470205","https://openalex.org/W2053058877","https://openalex.org/W2056149869","https://openalex.org/W2067191022","https://openalex.org/W2070309867","https://openalex.org/W2077095720","https://openalex.org/W2113968972","https://openalex.org/W2121396509","https://openalex.org/W2122596619","https://openalex.org/W2129935564","https://openalex.org/W2142995583","https://openalex.org/W2152913445","https://openalex.org/W2153567120","https://openalex.org/W2154673940","https://openalex.org/W2162374190","https://openalex.org/W2221832395","https://openalex.org/W2294037204","https://openalex.org/W2564885033","https://openalex.org/W2896012877","https://openalex.org/W2916077684","https://openalex.org/W2997226465","https://openalex.org/W6681463892"],"related_works":["https://openalex.org/W2245358137","https://openalex.org/W2528420922","https://openalex.org/W2587830478","https://openalex.org/W3010033880","https://openalex.org/W4286825833","https://openalex.org/W2554059268","https://openalex.org/W2919291704","https://openalex.org/W2328468600","https://openalex.org/W2369577330","https://openalex.org/W4205847029"],"abstract_inverted_index":{"Accurate":[0],"determination":[1],"of":[2,35,46,66,93,153],"weather":[3,75,121,146,158],"conditions":[4],"from":[5,31,82],"a":[6,73,130],"single":[7],"camera":[8],"captured":[9],"image":[10,22],"is":[11,96,104],"invaluable":[12],"not":[13],"only":[14],"for":[15,20,44],"meteorological":[16],"applications":[17],"but":[18],"also":[19],"automated":[21],"processing":[23],"tasks.":[24],"The":[25],"few":[26],"approaches,":[27],"existing":[28],"currently,":[29],"suffer":[30],"one":[32],"or":[33,58],"both":[34,53],"two":[36],"major":[37],"drawbacks.":[38],"They":[39],"either":[40],"require":[41],"complex":[42],"networks":[43],"application":[45],"sophisticated":[47],"machine":[48,89],"learning":[49,90],"techniques":[50,127],"which":[51],"consume":[52],"computational":[54],"resources":[55],"and":[56,125,136],"time":[57],"else,":[59],"fail":[60],"to":[61,106,118],"achieve":[62],"the":[63,108,120,149,154],"desired":[64],"level":[65],"performance.":[67],"In":[68],"this":[69,94],"paper,":[70],"we":[71],"propose":[72],"novel":[74],"classification":[76],"technique":[77],"using":[78,123,142],"sky":[79,101,110],"based":[80],"features":[81,114],"camera-captured":[83],"images":[84],"combined":[85],"with":[86],"very":[87],"basic":[88],"algorithms.The":[91],"contribution":[92],"article":[95],"two-fold.":[97],"A":[98],"highly":[99],"accurate":[100],"detection":[102],"algorithm":[103,156],"used":[105],"compute":[107],"proposed":[109,155],"relevant":[111],"features.":[112],"These":[113],"are":[115],"then":[116],"harnessed":[117],"predict":[119],"condition":[122],"simple":[124],"fast":[126],"such":[128],"as":[129],"multi-label":[131],"Support":[132],"Vector":[133],"Machine":[134],"(SVM)":[135],"k-Nearest":[137],"Neighbour":[138],"(k-NN).":[139],"Experimental":[140],"results":[141],"publicly":[143],"available":[144],"standard":[145],"databases":[147],"establish":[148],"superiority":[150],"in":[151,157],"performance":[152],"classification.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
