{"id":"https://openalex.org/W4387804019","doi":"https://doi.org/10.1109/igarss52108.2023.10281736","title":"Adversarial Discriminative Knowledge Transfer with a Multi-Class Discriminator for Robust Geoai","display_name":"Adversarial Discriminative Knowledge Transfer with a Multi-Class Discriminator for Robust Geoai","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387804019","doi":"https://doi.org/10.1109/igarss52108.2023.10281736"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10281736","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10281736","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 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/A5032853710","display_name":"Anan Yaghmour","orcid":null},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anan Yaghmour","raw_affiliation_strings":["University of Houston"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Houston","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037823063","display_name":"Saurabh Prasad","orcid":"https://orcid.org/0000-0003-3729-9360"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saurabh Prasad","raw_affiliation_strings":["University of Houston"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Houston","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002083374","display_name":"Melba M. Crawford","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Melba M. Crawford","raw_affiliation_strings":["Purdue University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University","institution_ids":["https://openalex.org/I219193219"]}]}],"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":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":null,"first_page":"4883","last_page":"4886"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9988999962806702,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9988999962806702,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.996399998664856,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.899606466293335},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.792683482170105},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7803566455841064},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6446509957313538},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.577603816986084},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5769221186637878},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5573592782020569},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5078261494636536},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4909692108631134},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.46609675884246826},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.46454524993896484},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4550798833370209},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4439646005630493},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.44003379344940186},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40361323952674866},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09482747316360474}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.899606466293335},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.792683482170105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7803566455841064},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6446509957313538},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.577603816986084},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5769221186637878},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5573592782020569},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5078261494636536},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4909692108631134},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.46609675884246826},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.46454524993896484},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4550798833370209},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4439646005630493},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.44003379344940186},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40361323952674866},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09482747316360474},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss52108.2023.10281736","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10281736","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7799999713897705,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2593768305","https://openalex.org/W2788768841","https://openalex.org/W2795155917","https://openalex.org/W3007268491","https://openalex.org/W3091640009","https://openalex.org/W3094277917","https://openalex.org/W3110908156","https://openalex.org/W4200258398","https://openalex.org/W4255653719","https://openalex.org/W4310124887","https://openalex.org/W4310714442","https://openalex.org/W6639824700","https://openalex.org/W6750109254","https://openalex.org/W6762889277","https://openalex.org/W6802298155"],"related_works":["https://openalex.org/W2995777218","https://openalex.org/W3095487414","https://openalex.org/W2901026139","https://openalex.org/W3176438653","https://openalex.org/W2981628807","https://openalex.org/W3012393889","https://openalex.org/W4379875147","https://openalex.org/W3189091156","https://openalex.org/W3014041368","https://openalex.org/W2910234612"],"abstract_inverted_index":{"In":[0],"geospatial":[1],"image":[2,30,77],"analysis":[3,31,78],"applications,":[4],"many":[5],"factors":[6],"can":[7],"result":[8],"in":[9,43],"statistical":[10],"differences":[11],"between":[12],"training":[13],"and":[14,47],"testing/deployment":[15],"conditions.":[16,83],"Domain":[17],"adaptation":[18,56,64],"techniques":[19],"aim":[20],"to":[21],"reduce":[22],"these":[23,67],"disparsities":[24],"with":[25,80],"the":[26,44,60],"goal":[27],"of":[28],"improving":[29],"performance.":[32],"Despite":[33],"recent":[34],"progress,":[35],"some":[36],"challenges":[37],"remain,":[38],"such":[39],"as":[40],"insufficient":[41],"discriminability":[42],"aligned":[45],"space":[46],"negative":[48],"transfer.":[49],"We":[50,69],"introduce":[51],"a":[52],"novel":[53],"semi-supervised":[54],"domain":[55,63],"approach":[57],"that":[58],"improves":[59],"adversarial":[61],"discriminative":[62],"framework,":[65],"addressing":[66],"challenges.":[68],"validate":[70],"its":[71],"effectiveness":[72],"using":[73],"two":[74],"real-world":[75],"hyperspectral":[76],"datasets":[79],"varying":[81],"acquisition":[82]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
