{"id":"https://openalex.org/W3131580849","doi":"https://doi.org/10.1109/igarss39084.2020.9323932","title":"A Novel General Semisupervised Deep Learning Framework for Classification and Regression with Remote Sensing Images","display_name":"A Novel General Semisupervised Deep Learning Framework for Classification and Regression with Remote Sensing Images","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3131580849","doi":"https://doi.org/10.1109/igarss39084.2020.9323932","mag":"3131580849"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9323932","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323932","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/A5101993842","display_name":"Chen Zhao","orcid":"https://orcid.org/0000-0003-4993-5416"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhao Chen","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018173548","display_name":"Guangchen Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangchen Chen","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054137460","display_name":"Feng Zhou","orcid":"https://orcid.org/0000-0001-9184-2040"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Zhou","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046815454","display_name":"Bin Yang","orcid":"https://orcid.org/0000-0002-9762-0788"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Yang","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100631762","display_name":"Lili Wang","orcid":"https://orcid.org/0000-0001-7633-6828"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lili Wang","raw_affiliation_strings":["College of Environmental Science and Engineering, Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Environmental Science and Engineering, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336301","display_name":"Qiong Liu","orcid":"https://orcid.org/0000-0002-2407-806X"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiong Liu","raw_affiliation_strings":["College of Environmental Science and Engineering, Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Environmental Science and Engineering, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045072070","display_name":"Yonghang Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghang Chen","raw_affiliation_strings":["College of Environmental Science and Engineering, Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Environmental Science and Engineering, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101993842"],"corresponding_institution_ids":["https://openalex.org/I181326427"],"apc_list":null,"apc_paid":null,"fwci":0.1912,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.60359153,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1323","last_page":"1326"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"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":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9847999811172485,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9750000238418579,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7935539484024048},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7867228984832764},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.6809374690055847},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5926926136016846},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5798233151435852},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5748628377914429},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5666598081588745},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.51483553647995},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5118376612663269},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.48871374130249023},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.47222140431404114},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43908700346946716},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0794241726398468},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0712970495223999}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7935539484024048},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7867228984832764},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.6809374690055847},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5926926136016846},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5798233151435852},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5748628377914429},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5666598081588745},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.51483553647995},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5118376612663269},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.48871374130249023},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.47222140431404114},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43908700346946716},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0794241726398468},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0712970495223999}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9323932","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323932","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/G3036598031","display_name":null,"funder_award_id":"2017YFB0309800","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3162578120","display_name":null,"funder_award_id":"17YF1427400","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G3494758251","display_name":null,"funder_award_id":"17D111206","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G369848745","display_name":null,"funder_award_id":"18CG38","funder_id":"https://openalex.org/F4320321881","funder_display_name":"Shanghai Municipal Education Commission"},{"id":"https://openalex.org/G6132232408","display_name":null,"funder_award_id":"61702094","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/F4320321881","display_name":"Shanghai Municipal Education Commission","ror":"https://ror.org/05tewj457"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W90657816","https://openalex.org/W2078770669","https://openalex.org/W2112796928","https://openalex.org/W2157286938","https://openalex.org/W2766018291","https://openalex.org/W2808098982","https://openalex.org/W2890484379","https://openalex.org/W2987641148","https://openalex.org/W3105357426","https://openalex.org/W6603658737"],"related_works":["https://openalex.org/W31220157","https://openalex.org/W2312753042","https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W2165884543","https://openalex.org/W3186837933","https://openalex.org/W2368989808","https://openalex.org/W2034959125","https://openalex.org/W2355687852","https://openalex.org/W2621086889"],"abstract_inverted_index":{"Remote":[0],"sensing":[1,16],"image":[2],"analysis":[3],"often":[4],"involves":[5],"image-level":[6],"classification":[7,106],"and/":[8],"or":[9],"regression.":[10,108],"One":[11],"major":[12],"problem":[13],"with":[14],"remote":[15],"data":[17],"is":[18,21],"that":[19,35],"it":[20],"difficult":[22],"to":[23,29,71],"obtain":[24],"abundant":[25],"precise":[26],"manual":[27],"annotations":[28],"train":[30],"fully":[31],"supervised":[32,99],"deep":[33,86],"networks":[34],"have":[36],"achieved":[37],"great":[38],"success":[39],"in":[40,105],"computer":[41],"vision.":[42],"Therefore,":[43],"this":[44],"paper":[45],"proposes":[46],"a":[47,56,66,85],"novel":[48],"general":[49],"semisupervised":[50,103],"framework":[51],"(GSF)":[52],"which":[53],"only":[54],"requires":[55],"small":[57],"amount":[58],"of":[59,75],"annotated":[60],"samples":[61],"for":[62],"training.":[63],"It":[64],"employs":[65],"new":[67],"hybrid":[68],"(dis)":[69],"similarity":[70],"characterize":[72],"different":[73],"aspects":[74],"the":[76,93],"images":[77],"and":[78,101,107],"realizes":[79],"label":[80],"propagation":[81],"while":[82],"fine-":[83],"tuning":[84],"neural":[87],"network":[88],"(NN).":[89],"As":[90],"shown":[91],"by":[92],"experimental":[94],"results,":[95],"GSF":[96],"outperforms":[97],"several":[98],"baselines":[100],"state-of-the-art":[102],"models":[104]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-01T17:29:45.350535","created_date":"2025-10-10T00:00:00"}
