{"id":"https://openalex.org/W3130890458","doi":"https://doi.org/10.1109/igarss39084.2020.9323898","title":"Interpretability of Recurrent Neural Networks in Remote Sensing","display_name":"Interpretability of Recurrent Neural Networks in Remote Sensing","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3130890458","doi":"https://doi.org/10.1109/igarss39084.2020.9323898","mag":"3130890458"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9323898","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323898","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","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/A5012161331","display_name":"Adri\u00e1n P\u00e9rez-Suay","orcid":"https://orcid.org/0000-0002-8258-4454"},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Adrian Perez-Suay","raw_affiliation_strings":["Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia"],"affiliations":[{"raw_affiliation_string":"Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia","institution_ids":["https://openalex.org/I16097986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079925438","display_name":"Jos\u00e9 E. Adsuara","orcid":"https://orcid.org/0000-0002-3842-965X"},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jose E. Adsuara","raw_affiliation_strings":["Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia"],"affiliations":[{"raw_affiliation_string":"Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia","institution_ids":["https://openalex.org/I16097986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032528806","display_name":"Mar\u00eda Piles","orcid":"https://orcid.org/0000-0002-1169-3098"},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Maria Piles","raw_affiliation_strings":["Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia"],"affiliations":[{"raw_affiliation_string":"Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia","institution_ids":["https://openalex.org/I16097986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091901968","display_name":"Laura Mart\u00ednez-Ferrer","orcid":"https://orcid.org/0000-0002-4730-8657"},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Laura Martinez-Ferrer","raw_affiliation_strings":["Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia"],"affiliations":[{"raw_affiliation_string":"Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia","institution_ids":["https://openalex.org/I16097986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015046986","display_name":"Emiliano D\u00edaz","orcid":"https://orcid.org/0000-0001-8410-6635"},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Emiliano Diaz","raw_affiliation_strings":["Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia"],"affiliations":[{"raw_affiliation_string":"Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia","institution_ids":["https://openalex.org/I16097986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028819728","display_name":"\u00c1lvaro Moreno\u2010Mart\u00ednez","orcid":"https://orcid.org/0000-0003-2990-7768"},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Alvaro Moreno-Martinez","raw_affiliation_strings":["Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia"],"affiliations":[{"raw_affiliation_string":"Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia","institution_ids":["https://openalex.org/I16097986"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039052506","display_name":"Gustau Camps\u2010Valls","orcid":"https://orcid.org/0000-0003-1683-2138"},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Gustau Camps-Valls","raw_affiliation_strings":["Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia"],"affiliations":[{"raw_affiliation_string":"Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia","institution_ids":["https://openalex.org/I16097986"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5012161331"],"corresponding_institution_ids":["https://openalex.org/I16097986"],"apc_list":null,"apc_paid":null,"fwci":1.2628,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.79756308,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3991","last_page":"3994"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9983000159263611,"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":0.9983000159263611,"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/T10266","display_name":"Plant Water Relations and Carbon Dynamics","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T10895","display_name":"Species Distribution and Climate Change","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"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/interpretability","display_name":"Interpretability","score":0.8569759130477905},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7015126347541809},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5620197057723999},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5056941509246826},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.49420955777168274},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4804382026195526},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4426558017730713},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43990737199783325},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43164968490600586},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42056217789649963},{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.414266973733902},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34388506412506104}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8569759130477905},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7015126347541809},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5620197057723999},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5056941509246826},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.49420955777168274},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4804382026195526},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4426558017730713},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43990737199783325},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43164968490600586},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42056217789649963},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.414266973733902},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34388506412506104},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9323898","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323898","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G5883926154","display_name":null,"funder_award_id":"647423","funder_id":"https://openalex.org/F4320338335","funder_display_name":"H2020 European Research Council"}],"funders":[{"id":"https://openalex.org/F4320338335","display_name":"H2020 European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1498436455","https://openalex.org/W2064675550","https://openalex.org/W2107878631","https://openalex.org/W2188767531","https://openalex.org/W2218047931","https://openalex.org/W2620966452","https://openalex.org/W2731015236","https://openalex.org/W2764034829","https://openalex.org/W2782522152","https://openalex.org/W2896998982","https://openalex.org/W2913061600","https://openalex.org/W2913323966","https://openalex.org/W2963345431","https://openalex.org/W2964226025","https://openalex.org/W2969766133","https://openalex.org/W2973731563","https://openalex.org/W2979477635","https://openalex.org/W2981383845","https://openalex.org/W2986750949","https://openalex.org/W4402843978","https://openalex.org/W6744040980"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W2806259446","https://openalex.org/W2963326959","https://openalex.org/W4247136043","https://openalex.org/W2768320620"],"abstract_inverted_index":{"In":[0],"this":[1],"work":[2],"we":[3],"propose":[4],"the":[5,30,39,46,56,60,67,71,82,111,114,122,135,155],"use":[6],"of":[7,19,45,62,70,78,145,154,166],"Long":[8],"Short-Term":[9],"Memory":[10],"(LSTM)":[11],"Recurrent":[12,26],"Neural":[13],"Networks":[14],"for":[15,22,141],"multivariate":[16],"time":[17,76],"series":[18,77],"satellite":[20],"data":[21],"crop":[23,167],"yield":[24],"estimation.":[25],"nets":[27],"allow":[28],"exploiting":[29],"temporal":[31],"dimension":[32],"efficiently,":[33],"but":[34],"interpretability":[35],"is":[36,48],"hampered":[37],"by":[38,53],"typically":[40],"overparameterized":[41],"models.":[42],"The":[43],"focus":[44,161],"study":[47],"to":[49,109,157],"understand":[50],"LSTM":[51],"models":[52,115,124],"looking":[54],"at":[55],"hidden":[57,136],"units":[58],"distribution,":[59],"impact":[61],"increasing":[63],"network":[64],"complexity,":[65],"and":[66,90,94,143,160],"relative":[68],"importance":[69],"input":[72],"covariates.":[73],"We":[74],"extracted":[75,133],"three":[79],"variables":[80],"describing":[81],"soil-vegetation":[83],"status":[84],"in":[85,101,118],"agroe-cosystems":[86],"-soil":[87],"moisture,":[88],"VOD":[89],"EVI-":[91],"from":[92,134],"optical":[93],"microwave":[95],"satellites,":[96],"as":[97,99],"well":[98],"available":[100],"situ":[102],"surveys":[103],"on":[104,162],"crops":[105],"across":[106],"Continental":[107],"U.S.":[108],"perform":[110],"experiments.":[112],"Firstly,":[113],"were":[116,125,132],"validated":[117],"error":[119],"terms.":[120],"Secondly,":[121],"trained":[123],"visualized":[126],"and,":[127],"thirdly,":[128],"some":[129],"useful":[130],"statistics":[131],"unit":[137],"activation":[138,146],"heatmaps,":[139],"accounting":[140],"redundancy":[142],"cluttering":[144],"responses.":[147],"Results":[148],"reveal":[149],"how":[150],"networks":[151],"assign":[152],"most":[153],"relevance":[156],"soil":[158],"moisture":[159],"two":[163],"phenological":[164],"stages":[165],"growth.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
