{"id":"https://openalex.org/W2999796608","doi":"https://doi.org/10.1109/lgrs.2019.2960625","title":"Distilling Before Refine: Spatio-Temporal Transfer Learning for Mapping Irrigated Areas Using Sentinel-1 Time Series","display_name":"Distilling Before Refine: Spatio-Temporal Transfer Learning for Mapping Irrigated Areas Using Sentinel-1 Time Series","publication_year":2020,"publication_date":"2020-01-07","ids":{"openalex":"https://openalex.org/W2999796608","doi":"https://doi.org/10.1109/lgrs.2019.2960625","mag":"2999796608"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2019.2960625","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2960625","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-04610578","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035101441","display_name":"Hassan Bazzi","orcid":"https://orcid.org/0000-0002-5510-1832"},"institutions":[{"id":"https://openalex.org/I19894307","display_name":"Universit\u00e9 de Montpellier","ror":"https://ror.org/051escj72","country_code":"FR","type":"education","lineage":["https://openalex.org/I19894307"]},{"id":"https://openalex.org/I4210088668","display_name":"Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement","ror":"https://ror.org/003vg9w96","country_code":"FR","type":"government","lineage":["https://openalex.org/I4210088668"]},{"id":"https://openalex.org/I4387153996","display_name":"Territoires, Environnement, T\u00e9l\u00e9d\u00e9tection et Information Spatiale","ror":"https://ror.org/0458hw939","country_code":null,"type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I131077856","https://openalex.org/I22248866","https://openalex.org/I277688954","https://openalex.org/I4210088668","https://openalex.org/I4387153996"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"H. Bazzi","raw_affiliation_strings":["UMR-TETIS Laboratory, INRAE, University of Montpellier, Montpellier, France"],"affiliations":[{"raw_affiliation_string":"UMR-TETIS Laboratory, INRAE, University of Montpellier, Montpellier, France","institution_ids":["https://openalex.org/I4387153996","https://openalex.org/I4210088668","https://openalex.org/I19894307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018231294","display_name":"Dino Ienco","orcid":"https://orcid.org/0000-0002-8736-3132"},"institutions":[{"id":"https://openalex.org/I4210101743","display_name":"Laboratoire d'Informatique, de Robotique et de Micro\u00e9lectronique de Montpellier","ror":"https://ror.org/013yean28","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I151295451","https://openalex.org/I19894307","https://openalex.org/I4210101743","https://openalex.org/I4210159245","https://openalex.org/I4405261681"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"D. Ienco","raw_affiliation_strings":["LIRMM laboratory, Montpellier, France"],"affiliations":[{"raw_affiliation_string":"LIRMM laboratory, Montpellier, France","institution_ids":["https://openalex.org/I4210101743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005595654","display_name":"Nicolas Baghdadi","orcid":"https://orcid.org/0000-0002-9461-4120"},"institutions":[{"id":"https://openalex.org/I19894307","display_name":"Universit\u00e9 de Montpellier","ror":"https://ror.org/051escj72","country_code":"FR","type":"education","lineage":["https://openalex.org/I19894307"]},{"id":"https://openalex.org/I4210088668","display_name":"Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement","ror":"https://ror.org/003vg9w96","country_code":"FR","type":"government","lineage":["https://openalex.org/I4210088668"]},{"id":"https://openalex.org/I4387153996","display_name":"Territoires, Environnement, T\u00e9l\u00e9d\u00e9tection et Information Spatiale","ror":"https://ror.org/0458hw939","country_code":null,"type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I131077856","https://openalex.org/I22248866","https://openalex.org/I277688954","https://openalex.org/I4210088668","https://openalex.org/I4387153996"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"N. Baghdadi","raw_affiliation_strings":["UMR-TETIS Laboratory, INRAE, University of Montpellier, Montpellier, France"],"affiliations":[{"raw_affiliation_string":"UMR-TETIS Laboratory, INRAE, University of Montpellier, Montpellier, France","institution_ids":["https://openalex.org/I4387153996","https://openalex.org/I4210088668","https://openalex.org/I19894307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028242808","display_name":"Mehrez Zribi","orcid":"https://orcid.org/0000-0001-6141-8222"},"institutions":[{"id":"https://openalex.org/I134560555","display_name":"Universit\u00e9 Toulouse III - Paul Sabatier","ror":"https://ror.org/02v6kpv12","country_code":"FR","type":"education","lineage":["https://openalex.org/I134560555","https://openalex.org/I4405258862"]},{"id":"https://openalex.org/I4210100083","display_name":"Centre d'\u00c9tudes Spatiales de la Biosph\u00e8re","ror":"https://ror.org/01225hq90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I134560555","https://openalex.org/I2799535048","https://openalex.org/I2802818602","https://openalex.org/I4210088668","https://openalex.org/I4210090127","https://openalex.org/I4210100083","https://openalex.org/I4210131494","https://openalex.org/I4210148025","https://openalex.org/I4210166444","https://openalex.org/I4405258862"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"M. Zribi","raw_affiliation_strings":["CESBIO, Universite Paul Sabatier, Toulouse, France"],"affiliations":[{"raw_affiliation_string":"CESBIO, Universite Paul Sabatier, Toulouse, France","institution_ids":["https://openalex.org/I134560555","https://openalex.org/I4210100083"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079063911","display_name":"Val\u00e9rie Demarez","orcid":"https://orcid.org/0000-0001-9131-5961"},"institutions":[{"id":"https://openalex.org/I134560555","display_name":"Universit\u00e9 Toulouse III - Paul Sabatier","ror":"https://ror.org/02v6kpv12","country_code":"FR","type":"education","lineage":["https://openalex.org/I134560555","https://openalex.org/I4405258862"]},{"id":"https://openalex.org/I4210100083","display_name":"Centre d'\u00c9tudes Spatiales de la Biosph\u00e8re","ror":"https://ror.org/01225hq90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I134560555","https://openalex.org/I2799535048","https://openalex.org/I2802818602","https://openalex.org/I4210088668","https://openalex.org/I4210090127","https://openalex.org/I4210100083","https://openalex.org/I4210131494","https://openalex.org/I4210148025","https://openalex.org/I4210166444","https://openalex.org/I4405258862"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"V. Demarez","raw_affiliation_strings":["CESBIO, Universite Paul Sabatier, Toulouse, France"],"affiliations":[{"raw_affiliation_string":"CESBIO, Universite Paul Sabatier, Toulouse, France","institution_ids":["https://openalex.org/I134560555","https://openalex.org/I4210100083"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5035101441"],"corresponding_institution_ids":["https://openalex.org/I19894307","https://openalex.org/I4210088668","https://openalex.org/I4387153996"],"apc_list":null,"apc_paid":null,"fwci":3.6869,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.92932048,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"17","issue":"11","first_page":"1909","last_page":"1913"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9954000115394592,"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":0.9954000115394592,"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/T10616","display_name":"Smart Agriculture and AI","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9807000160217285,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.656761646270752},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5731784701347351},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5636019706726074},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3694690465927124},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24673163890838623},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.19206342101097107}],"concepts":[{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.656761646270752},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5731784701347351},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5636019706726074},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3694690465927124},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24673163890838623},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.19206342101097107},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/lgrs.2019.2960625","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2960625","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-02610244v1","is_oa":false,"landing_page_url":"https://hal.inrae.fr/hal-02610244","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN: 1545-598X","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:HAL:hal-04610578v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04610578","pdf_url":null,"source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters, 2020, 17 (11), pp.1909-1913. &#x27E8;10.1109/LGRS.2019.2960625&#x27E9;","raw_type":"Journal articles"},{"id":"pmh:oai:irsteadoc.irstea.fr:PUB00064309","is_oa":false,"landing_page_url":"https://irsteadoc.irstea.fr/cemoa/PUB00064309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"56638","raw_type":"Article de revue scientifique \u00e0 comit\u00e9 de lecture"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04610578v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04610578","pdf_url":null,"source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters, 2020, 17 (11), pp.1909-1913. &#x27E8;10.1109/LGRS.2019.2960625&#x27E9;","raw_type":"Journal articles"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1526823037","https://openalex.org/W1565377632","https://openalex.org/W1665214252","https://openalex.org/W1821462560","https://openalex.org/W2148333466","https://openalex.org/W2482589566","https://openalex.org/W2738423991","https://openalex.org/W2750023899","https://openalex.org/W2752788177","https://openalex.org/W2782522152","https://openalex.org/W2889759488","https://openalex.org/W2932970397","https://openalex.org/W2962895364","https://openalex.org/W2963131120","https://openalex.org/W2966647365","https://openalex.org/W6637242042","https://openalex.org/W6638523607","https://openalex.org/W6967303126"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"This":[0],"letter":[1],"proposes":[2],"a":[3,27,39,45,65,77,91,115,127,181],"deep":[4,192],"learning":[5,72,193],"model":[6,32,52,86,93],"to":[7,59],"deal":[8],"with":[9,111,173],"the":[10,15,21,56,60,84,102,122,131,139,150,157,163,169,185,188,196],"spatial":[11,189],"transfer":[12,71,159],"challenge":[13],"for":[14],"mapping":[16],"of":[17,23,48,68,156,187,191],"irrigated":[18],"areas":[19],"through":[20],"analysis":[22],"Sentinel-1":[24],"data.":[25],"First,":[26],"convolutional":[28],"neural":[29],"network":[30],"(CNN)":[31],"called":[33],"\u201cTeacher":[34],"Model\u201d":[35],"is":[36,53,74,87,109],"trained":[37,120,129,148],"on":[38,76,121,130,138,149],"source":[40,57,132],"geographical":[41,104],"area":[42,58,62,141],"characterized":[43,63],"by":[44,64,97],"huge":[46],"volume":[47],"samples.":[49,69],"Then,":[50],"this":[51],"transferred":[54],"from":[55,101],"target":[61,103,123,140,151],"limited":[66],"number":[67],"The":[70,106,154,177],"framework":[73,167],"based":[75],"distill":[78],"and":[79,126,135,165],"refine":[80],"strategy,":[81],"in":[82,195],"which":[83],"teacher":[85],"first":[88,182],"distilled":[89],"into":[90],"student":[92],"and,":[94],"successively,":[95],"refined":[96],"data":[98,124,133,152],"samples":[99],"coming":[100],"area.":[105],"proposed":[107],"strategy":[108,160],"compared":[110,172],"different":[112],"approaches":[113],"including":[114],"random":[116],"forest":[117],"(RF)":[118],"classifier":[119],"set":[125,134],"CNN":[128,146],"directly":[136],"applied":[137],"as":[142,144],"well":[143],"several":[145],"classifiers":[147],"set.":[153],"evaluation":[155],"performed":[158],"shows":[161],"that":[162],"\u201cdistill":[164],"refine\u201d":[166],"obtains":[168],"best":[170],"performance":[171],"other":[174],"competing":[175],"approaches.":[176],"obtained":[178],"findings":[179],"represent":[180],"step":[183],"toward":[184],"understanding":[186],"transferability":[190],"models":[194],"Earth":[197],"observation":[198],"domain.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":6}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
