{"id":"https://openalex.org/W3132612813","doi":"https://doi.org/10.1109/igarss39084.2020.9323430","title":"Semi-Supervised Learning-Based Remote Sensing Image Scene Classification Via Adaptive Perturbation Training","display_name":"Semi-Supervised Learning-Based Remote Sensing Image Scene Classification Via Adaptive Perturbation Training","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3132612813","doi":"https://doi.org/10.1109/igarss39084.2020.9323430","mag":"3132612813"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9323430","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323430","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/A5100337591","display_name":"Chen Wang","orcid":"https://orcid.org/0000-0002-5340-9737"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Wang","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China,Chengdu,P.R.China,611731"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China,Chengdu,P.R.China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100690274","display_name":"Jun Shi","orcid":"https://orcid.org/0000-0003-2945-7795"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Shi","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China,Chengdu,P.R.China,611731"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China,Chengdu,P.R.China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003248572","display_name":"Yikai Ni","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yikai Ni","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China,Chengdu,P.R.China,611731"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China,Chengdu,P.R.China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019433526","display_name":"Yuanyuan Zhou","orcid":"https://orcid.org/0000-0001-6062-3363"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Zhou","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China,Chengdu,P.R.China,611731"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China,Chengdu,P.R.China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040020120","display_name":"Xiaqing Yang","orcid":"https://orcid.org/0000-0002-7364-8583"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaqing Yang","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China,Chengdu,P.R.China,611731"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China,Chengdu,P.R.China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080246113","display_name":"Shunjun Wei","orcid":"https://orcid.org/0000-0001-8091-9540"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunjun Wei","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China,Chengdu,P.R.China,611731"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China,Chengdu,P.R.China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100385993","display_name":"Xiaoling Zhang","orcid":"https://orcid.org/0000-0003-2343-3055"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoling Zhang","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China,Chengdu,P.R.China,611731"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China,Chengdu,P.R.China,611731","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3826,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70371504,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"541","last_page":"544"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9944999814033508,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9843999743461609,"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/computer-science","display_name":"Computer science","score":0.7139172554016113},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6972073912620544},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6632002592086792},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.6302674412727356},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6014470458030701},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.5531316995620728},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4857068955898285},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46289128065109253},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.4447503387928009},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.44434744119644165},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29183512926101685}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7139172554016113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6972073912620544},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6632002592086792},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.6302674412727356},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6014470458030701},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.5531316995620728},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4857068955898285},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46289128065109253},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.4447503387928009},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.44434744119644165},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29183512926101685}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9323430","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323430","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":[],"awards":[{"id":"https://openalex.org/G1266425772","display_name":null,"funder_award_id":"2017YFB0502700","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8710616850","display_name":null,"funder_award_id":"61671113,61501098,61571099","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2194775991","https://openalex.org/W2592962403","https://openalex.org/W2617536493","https://openalex.org/W2744582969","https://openalex.org/W2746325398","https://openalex.org/W2765407302","https://openalex.org/W2770429219","https://openalex.org/W2899771611","https://openalex.org/W2964121744","https://openalex.org/W3103856189","https://openalex.org/W3209458476"],"related_works":["https://openalex.org/W122912556","https://openalex.org/W1586607209","https://openalex.org/W4312414840","https://openalex.org/W2621411691","https://openalex.org/W2981877337","https://openalex.org/W3203938600","https://openalex.org/W2271357838","https://openalex.org/W4286910063","https://openalex.org/W2163707935","https://openalex.org/W2168489430"],"abstract_inverted_index":{"Deep":[0],"neural":[1],"networks":[2],"have":[3],"been":[4],"widely":[5],"applied":[6],"and":[7,15,37,101],"researched":[8],"in":[9],"remote":[10,59],"sensing":[11,60],"image":[12,61],"scene":[13,62],"classification":[14,85,90,116],"achieved":[16],"a":[17,27,54,69],"great":[18],"success.":[19],"However,":[20],"deep":[21],"supervised":[22,99],"network":[23,65],"heavily":[24],"relies":[25],"on":[26,77],"large":[28],"amount":[29],"of":[30,112],"labeled":[31],"data.":[32],"The":[33,64,75],"annotation":[34],"is":[35,66],"difficult":[36],"time-consuming":[38],"to":[39,48],"obtain":[40],"but":[41],"the":[42,82,97,102,110,113],"unlabeled":[43,93],"data":[44,94],"are":[45],"comparably":[46],"easier":[47],"get.":[49],"Considering":[50],"that,":[51],"we":[52],"introduce":[53],"semi-supervised":[55,84,114],"learning":[56],"framework":[57],"for":[58],"classification.":[63],"trained":[67],"by":[68],"novel":[70],"adaptive":[71,104],"perturbation":[72,105],"training":[73,106],"method.":[74],"experiments":[76],"NWPU-RESISC45":[78],"dataset":[79],"prove":[80],"that":[81],"introduced":[83],"method":[86],"can":[87,107],"achieve":[88],"higher":[89],"accuracy":[91],"with":[92,96],"compared":[95],"corresponding":[98],"classifier,":[100],"designed":[103],"further":[108],"improve":[109],"performance":[111],"learning-based":[115],"network.":[117]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
