{"id":"https://openalex.org/W2983552906","doi":"https://doi.org/10.1109/igarss.2019.8899080","title":"Can a Deep Network Understand the Land Cover Across Sensors?","display_name":"Can a Deep Network Understand the Land Cover Across Sensors?","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2983552906","doi":"https://doi.org/10.1109/igarss.2019.8899080","mag":"2983552906"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8899080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8899080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 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/A5002219929","display_name":"Zhongling Huang","orcid":"https://orcid.org/0000-0003-2368-9229"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Zhongling Huang","raw_affiliation_strings":["Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), We\u00dfling, Germany"],"affiliations":[{"raw_affiliation_string":"Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), We\u00dfling, Germany","institution_ids":["https://openalex.org/I2898391981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032852455","display_name":"Corneliu Octavian Dumitru","orcid":"https://orcid.org/0000-0001-5707-1799"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Corneliu Octavian Dumitru","raw_affiliation_strings":["Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), We\u00dfling, Germany"],"affiliations":[{"raw_affiliation_string":"Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), We\u00dfling, Germany","institution_ids":["https://openalex.org/I2898391981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032116461","display_name":"Zongxu Pan","orcid":"https://orcid.org/0000-0002-5041-3300"},"institutions":[{"id":"https://openalex.org/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongxu Pan","raw_affiliation_strings":["Institute of Electronics, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Electronics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210110458","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056766372","display_name":"Bin Lei","orcid":"https://orcid.org/0000-0001-7625-9236"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Lei","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032370631","display_name":"Mihai Datcu","orcid":"https://orcid.org/0000-0002-3477-9687"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mihai Datcu","raw_affiliation_strings":["Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), We\u00dfling, Germany"],"affiliations":[{"raw_affiliation_string":"Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), We\u00dfling, Germany","institution_ids":["https://openalex.org/I2898391981"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5002219929"],"corresponding_institution_ids":["https://openalex.org/I2898391981"],"apc_list":null,"apc_paid":null,"fwci":0.3571,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66289606,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"9847","last_page":"9850"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9883999824523926,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9865999817848206,"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/geolocation","display_name":"Geolocation","score":0.8385372161865234},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7713757753372192},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.6243658065795898},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5992020964622498},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5795823335647583},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5419294834136963},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5387606620788574},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5107309818267822},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.4784010350704193},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.45494863390922546},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4489556550979614},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.42325687408447266},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.15514522790908813},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13593533635139465},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.12346479296684265}],"concepts":[{"id":"https://openalex.org/C22041718","wikidata":"https://www.wikidata.org/wiki/Q638949","display_name":"Geolocation","level":2,"score":0.8385372161865234},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7713757753372192},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.6243658065795898},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5992020964622498},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5795823335647583},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5419294834136963},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5387606620788574},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5107309818267822},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.4784010350704193},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.45494863390922546},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4489556550979614},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42325687408447266},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.15514522790908813},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13593533635139465},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.12346479296684265},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss.2019.8899080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8899080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:elib.dlr.de:130278","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8899080>.","pdf_url":null,"source":{"id":"https://openalex.org/S4377196266","display_name":"elib (German Aerospace Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2898391981","host_organization_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","host_organization_lineage":["https://openalex.org/I2898391981"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.6600000262260437,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1980038761","https://openalex.org/W2006603039","https://openalex.org/W2110097068","https://openalex.org/W2149933564","https://openalex.org/W2159291411","https://openalex.org/W2194775991","https://openalex.org/W2248723555","https://openalex.org/W2291068538","https://openalex.org/W2412588858","https://openalex.org/W2515866431","https://openalex.org/W2592962403","https://openalex.org/W3103856189","https://openalex.org/W3105577662","https://openalex.org/W4299518610","https://openalex.org/W6676663998","https://openalex.org/W6682132143","https://openalex.org/W6683633756"],"related_works":["https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W3192840557","https://openalex.org/W2951211570","https://openalex.org/W4375928479","https://openalex.org/W3167935049","https://openalex.org/W3023427754","https://openalex.org/W3131673289","https://openalex.org/W4393011546","https://openalex.org/W3198847674"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"algorithms":[2],"are":[3],"widely":[4],"used":[5],"in":[6,102],"remote":[7,36,86,107],"sensing":[8,37,87,108],"image":[9],"scene":[10,103],"understanding.":[11],"Generally,":[12],"a":[13,21,31,99],"large-scale":[14],"annotated":[15,58,80],"dataset":[16,83],"is":[17,71],"essential":[18],"to":[19,44,73,84],"train":[20],"deep":[22],"neural":[23],"network":[24],"for":[25],"classification.":[26],"In":[27,60],"practical":[28],"terms,":[29],"however,":[30],"large":[32],"amount":[33],"of":[34,77,105],"unknown":[35],"images":[38,93],"obtained":[39],"from":[40,50],"different":[41],"sensors":[42],"need":[43],"be":[45],"understood":[46],"which":[47],"may":[48],"vary":[49],"resolution,":[51],"geolocation":[52],"and":[53],"imaging":[54],"conditions":[55],"compared":[56],"with":[57],"datasets.":[59],"this":[61],"paper,":[62],"an":[63,78],"unsupervised":[64],"domain":[65],"adaptation":[66],"framework":[67],"based":[68],"on":[69],"ResNet-18":[70],"presented":[72],"transfer":[74],"the":[75,90],"knowledge":[76],"existing":[79],"land":[81],"cover":[82],"other":[85],"data,":[88],"decreasing":[89],"discrepancy":[91],"among":[92],"across":[94],"sensors.":[95],"The":[96],"results":[97],"show":[98],"significant":[100],"improvement":[101],"understanding":[104],"new":[106],"images.":[109]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}