{"id":"https://openalex.org/W2886994463","doi":"https://doi.org/10.1109/igarss.2018.8518681","title":"State-of-the-Art and Gaps for Deep Learning on Limited Training Data in Remote Sensing","display_name":"State-of-the-Art and Gaps for Deep Learning on Limited Training Data in Remote Sensing","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2886994463","doi":"https://doi.org/10.1109/igarss.2018.8518681","mag":"2886994463"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2018.8518681","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8518681","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 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/A5081134905","display_name":"John E. Ball","orcid":"https://orcid.org/0000-0002-6774-4851"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John E. Ball","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Mississippi State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Mississippi State University","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076164452","display_name":"Derek T. Anderson","orcid":"https://orcid.org/0000-0003-4909-029X"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Derek T. Anderson","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, The University of Missouri"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, The University of Missouri","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001958960","display_name":"Pan Wei","orcid":"https://orcid.org/0000-0002-4782-5777"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pan Wei","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Mississippi State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Mississippi State University","institution_ids":["https://openalex.org/I99041443"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4119","last_page":"4122"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9993000030517578,"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":0.9993000030517578,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7742451429367065},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7640727758407593},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6886188983917236},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6784295439720154},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6067039370536804},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6056327819824219},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.584520161151886},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5839892625808716},{"id":"https://openalex.org/keywords/dilemma","display_name":"Dilemma","score":0.5536681413650513},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5006430149078369},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5003547668457031},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4955180883407593},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.46858447790145874},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.42842233180999756},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.42729777097702026},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4183824360370636},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.41361016035079956},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.41332152485847473},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.16325682401657104}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7742451429367065},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7640727758407593},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6886188983917236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6784295439720154},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6067039370536804},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6056327819824219},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.584520161151886},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5839892625808716},{"id":"https://openalex.org/C2778496695","wikidata":"https://www.wikidata.org/wiki/Q254128","display_name":"Dilemma","level":2,"score":0.5536681413650513},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5006430149078369},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5003547668457031},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4955180883407593},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.46858447790145874},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.42842233180999756},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.42729777097702026},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4183824360370636},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.41361016035079956},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.41332152485847473},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.16325682401657104},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2018.8518681","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8518681","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6100000143051147,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1544008493","https://openalex.org/W1916665238","https://openalex.org/W1980038761","https://openalex.org/W1990895816","https://openalex.org/W2001619934","https://openalex.org/W2030432742","https://openalex.org/W2067178723","https://openalex.org/W2096873754","https://openalex.org/W2099471712","https://openalex.org/W2117539524","https://openalex.org/W2165698076","https://openalex.org/W2267317359","https://openalex.org/W2341018344","https://openalex.org/W2345128667","https://openalex.org/W2373728139","https://openalex.org/W2412588858","https://openalex.org/W2513652809","https://openalex.org/W2546942002","https://openalex.org/W2573524522","https://openalex.org/W2579348194","https://openalex.org/W2588561483","https://openalex.org/W2616728375","https://openalex.org/W2751694392","https://openalex.org/W2761781479","https://openalex.org/W2765455392","https://openalex.org/W2766049824","https://openalex.org/W2772415238","https://openalex.org/W2777427437","https://openalex.org/W2787669763","https://openalex.org/W2791006446","https://openalex.org/W2949821452","https://openalex.org/W2963073614","https://openalex.org/W2963173190","https://openalex.org/W2963462769","https://openalex.org/W2963578416","https://openalex.org/W2963801405","https://openalex.org/W3104341624","https://openalex.org/W3154664134","https://openalex.org/W4248710273","https://openalex.org/W4288076010","https://openalex.org/W4320013936","https://openalex.org/W6640080590","https://openalex.org/W6708970471","https://openalex.org/W6725863442","https://openalex.org/W6732285316"],"related_works":["https://openalex.org/W4317548404","https://openalex.org/W3022007134","https://openalex.org/W2130553454","https://openalex.org/W2087783760","https://openalex.org/W2033364610","https://openalex.org/W165115930","https://openalex.org/W2797776314","https://openalex.org/W2096363773","https://openalex.org/W3163689946","https://openalex.org/W2153927146"],"abstract_inverted_index":{"Deep":[0],"learning":[1,38,96],"usually":[2],"requires":[3],"big":[4],"data,":[5,22],"with":[6],"respect":[7],"to":[8,39,60,106,112,116,120],"both":[9,93],"volume":[10],"and":[11,98,119],"variety.":[12],"However,":[13],"most":[14],"remote":[15],"sensing":[16],"applications":[17],"only":[18],"have":[19],"limited":[20],"training":[21],"of":[23,53,92,102,109],"which":[24,50,70,81],"a":[25,94],"small":[26],"subset":[27],"is":[28,46,65,77,105],"labeled.":[29],"Herein,":[30],"we":[31],"review":[32],"three":[33],"state-of-the-art":[34],"approaches":[35],"in":[36,49],"deep":[37,95],"combat":[40],"this":[41,103,110],"challenge.":[42],"The":[43,63,75,100],"first":[44],"topic":[45],"transfer":[47],"learning,":[48,67],"some":[51],"aspects":[52],"one":[54],"domain,":[55],"e.g.,":[56,68],"features,":[57],"are":[58],"transferred":[59],"another":[61],"domain.":[62],"next":[64],"unsupervised":[66],"autoencoders,":[69],"operate":[71],"on":[72],"unlabeled":[73],"data.":[74],"last":[76],"generative":[78],"adversarial":[79],"networks,":[80],"can":[82,88],"generate":[83],"realistic":[84],"looking":[85],"data":[86],"that":[87,124],"fool":[89],"the":[90,114],"likes":[91],"network":[97],"human.":[99],"aim":[101],"article":[104],"raise":[107],"awareness":[108],"dilemma,":[111],"direct":[113],"reader":[115],"existing":[117],"work":[118],"highlight":[121],"current":[122],"gaps":[123],"need":[125],"solving.":[126]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
