{"id":"https://openalex.org/W2000952059","doi":"https://doi.org/10.1109/igarss.2015.7326293","title":"A deep learning approach for unsupervised domain adaptation in multitemporal remote sensing images","display_name":"A deep learning approach for unsupervised domain adaptation in multitemporal remote sensing images","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2000952059","doi":"https://doi.org/10.1109/igarss.2015.7326293","mag":"2000952059"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2015.7326293","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7326293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","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/A5087486329","display_name":"Essam Othman","orcid":null},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Essam Othman","raw_affiliation_strings":["ALISR Laboratory College of Computer and Information Sciences King Saud University, Riyadh, Saudi Arabia","ALISR Laboratory, College of Computer and Information Sciences; King Saud University; Riyadh; 11543; Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"ALISR Laboratory College of Computer and Information Sciences King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]},{"raw_affiliation_string":"ALISR Laboratory, College of Computer and Information Sciences; King Saud University; Riyadh; 11543; Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054237841","display_name":"Yakoub Bazi","orcid":"https://orcid.org/0000-0001-9287-0596"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Yakoub Bazi","raw_affiliation_strings":["ALISR Laboratory College of Computer and Information Sciences King Saud University, Riyadh, Saudi Arabia","ALISR Laboratory, College of Computer and Information Sciences; King Saud University; Riyadh; 11543; Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"ALISR Laboratory College of Computer and Information Sciences King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]},{"raw_affiliation_string":"ALISR Laboratory, College of Computer and Information Sciences; King Saud University; Riyadh; 11543; Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030617821","display_name":"Haikel Alhichri","orcid":"https://orcid.org/0000-0003-2164-043X"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Haikel AlHichri","raw_affiliation_strings":["ALISR Laboratory College of Computer and Information Sciences King Saud University, Riyadh, Saudi Arabia","ALISR Laboratory, College of Computer and Information Sciences; King Saud University; Riyadh; 11543; Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"ALISR Laboratory College of Computer and Information Sciences King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]},{"raw_affiliation_string":"ALISR Laboratory, College of Computer and Information Sciences; King Saud University; Riyadh; 11543; Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052594698","display_name":"Naif Alajlan","orcid":"https://orcid.org/0000-0003-1846-1131"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Naif Alajlan","raw_affiliation_strings":["ALISR Laboratory College of Computer and Information Sciences King Saud University, Riyadh, Saudi Arabia","ALISR Laboratory, College of Computer and Information Sciences; King Saud University; Riyadh; 11543; Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"ALISR Laboratory College of Computer and Information Sciences King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]},{"raw_affiliation_string":"ALISR Laboratory, College of Computer and Information Sciences; King Saud University; Riyadh; 11543; Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5087486329"],"corresponding_institution_ids":["https://openalex.org/I28022161"],"apc_list":null,"apc_paid":null,"fwci":0.8629,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.82017152,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"22","issue":null,"first_page":"2401","last_page":"2404"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9998999834060669,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991999864578247,"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/T10062","display_name":"MicroRNA in disease regulation","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8199599981307983},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.739955484867096},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6525148153305054},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.644902229309082},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5800361037254333},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.5798363089561462},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5666590929031372},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5141723155975342},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.45945245027542114},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.44351261854171753},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43073374032974243},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4278411567211151},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42349690198898315},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11551165580749512}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8199599981307983},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.739955484867096},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6525148153305054},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.644902229309082},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5800361037254333},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.5798363089561462},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5666590929031372},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5141723155975342},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.45945245027542114},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.44351261854171753},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43073374032974243},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4278411567211151},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42349690198898315},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11551165580749512},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2015.7326293","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7326293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1970942930","https://openalex.org/W1984530193","https://openalex.org/W2024886312","https://openalex.org/W2081852578","https://openalex.org/W2096873754","https://openalex.org/W2104068492","https://openalex.org/W2115403315","https://openalex.org/W2136922672","https://openalex.org/W2140797190","https://openalex.org/W2149466042","https://openalex.org/W2151103935","https://openalex.org/W2949821452","https://openalex.org/W3153012724","https://openalex.org/W6674764686"],"related_works":["https://openalex.org/W2773120646","https://openalex.org/W2105449223","https://openalex.org/W2733060750","https://openalex.org/W3156786002","https://openalex.org/W2807311372","https://openalex.org/W2784352036","https://openalex.org/W4317987726","https://openalex.org/W2022996092","https://openalex.org/W2905846897","https://openalex.org/W4367598285"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5],"novel":[6],"deep":[7],"convex":[8],"network":[9,66],"method":[10],"for":[11,97],"domain":[12,62],"adaptation":[13],"in":[14],"multitemporal":[15,106],"remote":[16],"sensing":[17],"imagery.":[18],"We":[19,40],"fuse":[20],"the":[21,24,37,42,51,55,74,81,85,89,98,111,114,118],"capabilities":[22],"of":[23,68,84,100,117],"extreme":[25],"learning":[26],"machine":[27],"(ELM)":[28],"classifier":[29],"and":[30,60],"local":[31],"feature":[32],"descriptor":[33],"techniques":[34],"to":[35,49,79,88],"boost":[36],"classification":[38],"accuracy.":[39],"use":[41],"Affine":[43],"Scale":[44],"Invariant":[45],"Feature":[46],"Transform":[47],"(ASIFT)":[48],"extract":[50],"key":[52],"points":[53,83],"from":[54],"image":[56,87],"pair,":[57],"i.e.":[58],"source":[59,86],"target":[61,90],"images.":[63],"The":[64],"neural":[65],"consist":[67],"two":[69],"layers,":[70],"one":[71],"layer":[72,93],"uses":[73],"keypoints":[75],"extracted":[76],"by":[77,110],"ASIFT":[78],"map":[80],"training":[82],"image,":[91],"while":[92],"2":[94],"is":[95],"used":[96],"purpose":[99],"classification.":[101],"Experimental":[102],"results":[103],"obtained":[104],"on":[105],"VHR":[107],"images":[108],"acquired":[109],"IKONOS2":[112],"confirm":[113],"promising":[115],"capability":[116],"proposed":[119],"method.":[120]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}