{"id":"https://openalex.org/W4402261869","doi":"https://doi.org/10.1109/igarss53475.2024.10641259","title":"Semi-Supervised Deep Learning for Change Detection in Agricultural Fields Using Sentinel-2 Imagery","display_name":"Semi-Supervised Deep Learning for Change Detection in Agricultural Fields Using Sentinel-2 Imagery","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402261869","doi":"https://doi.org/10.1109/igarss53475.2024.10641259"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10641259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10641259","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5060186055","display_name":"Iason Tsardanidis","orcid":"https://orcid.org/0009-0008-0356-3526"},"institutions":[{"id":"https://openalex.org/I4210118731","display_name":"National Observatory of Athens","ror":"https://ror.org/03dtebk39","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210118731"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Iason Tsardanidis","raw_affiliation_strings":["BEYOND EO Centre, IAASARS, National Observatory of Athens,Athens,Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BEYOND EO Centre, IAASARS, National Observatory of Athens,Athens,Greece","institution_ids":["https://openalex.org/I4210118731"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069976439","display_name":"Charalampos Kontoes","orcid":"https://orcid.org/0000-0002-4973-9450"},"institutions":[{"id":"https://openalex.org/I4210118731","display_name":"National Observatory of Athens","ror":"https://ror.org/03dtebk39","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210118731"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Charalampos Kontoes","raw_affiliation_strings":["BEYOND EO Centre, IAASARS, National Observatory of Athens,Athens,Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BEYOND EO Centre, IAASARS, National Observatory of Athens,Athens,Greece","institution_ids":["https://openalex.org/I4210118731"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210118731"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1942","last_page":"1945"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9914000034332275,"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":0.9914000034332275,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9315000176429749,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.652751088142395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5799912810325623},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5375933051109314},{"id":"https://openalex.org/keywords/agriculture","display_name":"Agriculture","score":0.49576839804649353},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.46367359161376953},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.35754454135894775},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3260769248008728},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17750445008277893},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14246031641960144},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.07431146502494812}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.652751088142395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5799912810325623},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5375933051109314},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.49576839804649353},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.46367359161376953},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.35754454135894775},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3260769248008728},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17750445008277893},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14246031641960144},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.07431146502494812}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10641259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10641259","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2178138410","https://openalex.org/W2807297025","https://openalex.org/W2885850997","https://openalex.org/W2891248708","https://openalex.org/W2976292222","https://openalex.org/W2983376237","https://openalex.org/W3023149787","https://openalex.org/W3036453075","https://openalex.org/W3120467244","https://openalex.org/W3127166311","https://openalex.org/W3180045188","https://openalex.org/W3185151088","https://openalex.org/W3205900871","https://openalex.org/W4283758961","https://openalex.org/W4312549298"],"related_works":["https://openalex.org/W2568858292","https://openalex.org/W1515964938","https://openalex.org/W2389381914","https://openalex.org/W2376528221","https://openalex.org/W196800607","https://openalex.org/W4375867731","https://openalex.org/W2359428812","https://openalex.org/W3181296946","https://openalex.org/W2355956201","https://openalex.org/W4380075502"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"an":[3],"original":[4],"application":[5],"for":[6,58,85,111,117],"detecting":[7],"changes":[8],"related":[9],"to":[10,37],"diverse":[11,90],"agricultural":[12,86,118],"activities":[13],"through":[14,74],"the":[15,56],"analysis":[16],"of":[17,40,43,47],"bitemporal":[18],"Sentinel-2":[19],"satellite":[20],"imagery.":[21],"Operating":[22],"without":[23],"pre-existing":[24],"samples,":[25],"our":[26,79],"approach":[27],"generates":[28],"pseudo-labels":[29],"using":[30],"common":[31],"rule-based":[32],"Earth":[33],"Observation":[34],"(EO)":[35],"algorithms":[36],"identify":[38],"cases":[39],"abrupt":[41],"loss":[42],"vegetation":[44],"in":[45,124],"pairs":[46],"consecutive":[48],"cloud-free":[49],"images.":[50],"These":[51],"artificially":[52],"generated":[53],"samples":[54],"form":[55],"basis":[57],"training":[59],"several":[60],"state-of-the-art":[61],"change":[62],"detection":[63,88],"(CD)":[64],"methods.":[65],"Evaluation":[66],"on":[67],"a":[68,107],"small":[69],"ground":[70],"truth":[71],"sample,":[72],"annotated":[73],"photo-interpretation":[75],"by":[76],"experts,":[77],"demonstrates":[78],"semi-supervised":[80],"methodology\u2019s":[81],"high":[82],"predictive":[83],"accuracy":[84],"events":[87],"across":[89],"terrains":[91],"and":[92,120,127],"cropping":[93],"practices":[94],"(i.e.,":[95],"mowing,":[96],"grazing,":[97],"harvest,":[98],"plowing,":[99],"stubble":[100],"burning,":[101],"etc.).":[102],"The":[103],"proposed":[104],"implementation":[105],"offers":[106],"cost-effective,":[108],"scalable":[109],"solution":[110],"real-time":[112],"monitoring,":[113],"providing":[114],"valuable":[115],"insights":[116],"activity":[119],"facilitating":[121],"informed":[122],"decision-making":[123],"farm":[125],"management":[126],"biodiversity":[128],"strategies.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}