{"id":"https://openalex.org/W3017077949","doi":"https://doi.org/10.1145/3380972","title":"SARDINE","display_name":"SARDINE","publication_year":2020,"publication_date":"2020-04-15","ids":{"openalex":"https://openalex.org/W3017077949","doi":"https://doi.org/10.1145/3380972","mag":"3017077949"},"language":"en","primary_location":{"id":"doi:10.1145/3380972","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3380972","pdf_url":null,"source":{"id":"https://openalex.org/S2503711797","display_name":"ACM Transactions on Spatial Algorithms and Systems","issn_l":"2374-0353","issn":["2374-0353","2374-0361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Spatial Algorithms and Systems","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/A5082372625","display_name":"Monidipa Das","orcid":"https://orcid.org/0000-0002-7615-4407"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Monidipa Das","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036928886","display_name":"Mahardhika Pratama","orcid":"https://orcid.org/0000-0001-6531-5087"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Mahardhika Pratama","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030936455","display_name":"Soumya K. Ghosh","orcid":"https://orcid.org/0000-0001-8359-581X"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Soumya K. Ghosh","raw_affiliation_strings":["Indian Institute of Technology (IIT) Kharagpur, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology (IIT) Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5082372625"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":1.4207,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.80167186,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"6","issue":"3","first_page":"1","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.998199999332428,"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"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.998199999332428,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9980999827384949,"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":0.9715999960899353,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sardine","display_name":"Sardine","score":0.7499196529388428},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7277495265007019},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5386952757835388},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5143012404441833},{"id":"https://openalex.org/keywords/moderate-resolution-imaging-spectroradiometer","display_name":"Moderate-resolution imaging spectroradiometer","score":0.4965823292732239},{"id":"https://openalex.org/keywords/thematic-mapper","display_name":"Thematic Mapper","score":0.4920189082622528},{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.4733082056045532},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47276976704597473},{"id":"https://openalex.org/keywords/thematic-map","display_name":"Thematic map","score":0.46173059940338135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4567772448062897},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4533410370349884},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4081219434738159},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.3611986041069031},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3531205654144287},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.236226886510849},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.15114754438400269},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.14893794059753418},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11578455567359924}],"concepts":[{"id":"https://openalex.org/C2779215912","wikidata":"https://www.wikidata.org/wiki/Q5141254","display_name":"Sardine","level":3,"score":0.7499196529388428},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7277495265007019},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5386952757835388},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5143012404441833},{"id":"https://openalex.org/C2777007095","wikidata":"https://www.wikidata.org/wiki/Q676840","display_name":"Moderate-resolution imaging spectroradiometer","level":3,"score":0.4965823292732239},{"id":"https://openalex.org/C2775938548","wikidata":"https://www.wikidata.org/wiki/Q1565182","display_name":"Thematic Mapper","level":3,"score":0.4920189082622528},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.4733082056045532},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47276976704597473},{"id":"https://openalex.org/C93692415","wikidata":"https://www.wikidata.org/wiki/Q1502030","display_name":"Thematic map","level":2,"score":0.46173059940338135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4567772448062897},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4533410370349884},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4081219434738159},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.3611986041069031},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3531205654144287},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.236226886510849},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.15114754438400269},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.14893794059753418},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11578455567359924},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2909208804","wikidata":"https://www.wikidata.org/wiki/Q127282","display_name":"Fish <Actinopterygii>","level":2,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C505870484","wikidata":"https://www.wikidata.org/wiki/Q180538","display_name":"Fishery","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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:10.1145/3380972","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3380972","pdf_url":null,"source":{"id":"https://openalex.org/S2503711797","display_name":"ACM Transactions on Spatial Algorithms and Systems","issn_l":"2374-0353","issn":["2374-0353","2374-0361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Spatial Algorithms and Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W80867919","https://openalex.org/W146619314","https://openalex.org/W1885185971","https://openalex.org/W1982867473","https://openalex.org/W1997281913","https://openalex.org/W1997906015","https://openalex.org/W2011526224","https://openalex.org/W2022881984","https://openalex.org/W2037478447","https://openalex.org/W2059488281","https://openalex.org/W2076611869","https://openalex.org/W2090702492","https://openalex.org/W2097178527","https://openalex.org/W2114698059","https://openalex.org/W2133665775","https://openalex.org/W2151033926","https://openalex.org/W2194775991","https://openalex.org/W2221487567","https://openalex.org/W2331577512","https://openalex.org/W2347060746","https://openalex.org/W2513506629","https://openalex.org/W2528677926","https://openalex.org/W2553205900","https://openalex.org/W2557283755","https://openalex.org/W2593382986","https://openalex.org/W2593509460","https://openalex.org/W2604645045","https://openalex.org/W2619995677","https://openalex.org/W2772269064","https://openalex.org/W2778580105","https://openalex.org/W2791425844","https://openalex.org/W2898036135","https://openalex.org/W2904430055","https://openalex.org/W2962790412","https://openalex.org/W2963866658","https://openalex.org/W2978109172","https://openalex.org/W2986043108","https://openalex.org/W3099527008","https://openalex.org/W4205947740"],"related_works":["https://openalex.org/W777473207","https://openalex.org/W3088139522","https://openalex.org/W2258294903","https://openalex.org/W2317715493","https://openalex.org/W2470430982","https://openalex.org/W2047432448","https://openalex.org/W2960762821","https://openalex.org/W769648878","https://openalex.org/W2471096927","https://openalex.org/W2080487419"],"abstract_inverted_index":{"The":[0,194,231],"timely":[1],"and":[2,56,80,82,132,162,222],"accurate":[3],"prediction":[4,238],"of":[5,10,43,89,115,124,176,196,204,209],"remote":[6,171],"sensing":[7,172],"data":[8,20,139,156,215],"is":[9,21,111,145,200,239],"utmost":[11],"importance":[12],"especially":[13],"in":[14,40,129,157,182,202],"a":[15,87,102,112,130,158,185,206],"situation":[16],"where":[17],"the":[18,94,116,126,142,149,155,192,197,236],"predicted":[19],"utilized":[22],"to":[23,38,48,75,85,91,147,190,241],"provide":[24],"insights":[25],"into":[26],"emerging":[27],"issues,":[28],"like":[29],"environmental":[30],"nowcasting.":[31],"Significant":[32],"research":[33],"progress":[34],"can":[35],"be":[36],"found":[37],"date":[39],"devising":[41],"variants":[42],"neural":[44,119],"network":[45,97,107,120,127],"(NN)":[46],"models":[47,66],"fulfil":[49],"this":[50,163],"requirement":[51],"by":[52],"improving":[53],"feature":[54,151],"extraction":[55],"dynamic":[57,131],"process":[58],"representation":[59],"power.":[60],"Nevertheless,":[61],"all":[62],"these":[63],"existing":[64],"NN":[65],"are":[67],"built":[68],"upon":[69],"rigid":[70],"structures":[71],"that":[72,235],"often":[73],"fail":[74],"maintain":[76],"tradeoff":[77],"between":[78],"bias":[79],"variance,":[81],"consequently,":[83],"need":[84],"spend":[86],"lot":[88],"time":[90,167,207],"empirically":[92],"determine":[93],"most":[95],"appropriate":[96],"configuration.":[98],"This":[99],"article":[100],"proposes":[101],"self-adaptive":[103],"recurrent":[104,118],"deep":[105,117],"incremental":[106,133],"model":[108,148,199],"(SARDINE)":[109],"which":[110],"novel":[113],"variant":[114],"with":[121,170,184,245],"intrinsic":[122],"capability":[123],"self-constructing":[125],"structure":[128],"fashion":[134],"while":[135,153],"learning":[136],"from":[137,217],"observed":[138],"samples.":[140],"Moreover,":[141],"proposed":[143,198],"SARDINE":[144,181],"able":[146,240],"spatial":[150,186],"evolution":[152],"scanning":[154],"single":[159],"pass":[160],"manner,":[161],"further":[164],"saves":[165],"significant":[166],"when":[168],"dealing":[169],"imagery":[173],"containing":[174],"millions":[175],"pixels.":[177],"Subsequently,":[178],"we":[179],"employ":[180],"combination":[183],"influence":[187],"mapping":[188],"unit":[189],"accomplish":[191],"prediction.":[193],"effectiveness":[195],"evaluated":[201],"terms":[203],"predicting":[205],"series":[208],"normalized":[210],"difference":[211],"vegetation":[212],"index":[213],"(NDVI)":[214],"derived":[216],"Landsat":[218],"Thematic":[219],"Mapper":[220],"(TM)-5":[221],"Moderate":[223],"Resolution":[224],"Imaging":[225],"Spectroradiometer":[226],"(MODIS)":[227],"Terra":[228],"satellite":[229],"imagery.":[230],"experimental":[232],"result":[233],"demonstrates":[234],"SARDINE-based":[237],"achieve":[242],"state-of-the-art":[243],"accuracy":[244],"significantly":[246],"reduced":[247],"computational":[248],"cost.":[249]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2020-04-24T00:00:00"}
