{"id":"https://openalex.org/W4417151518","doi":"https://doi.org/10.1007/s41060-025-00958-x","title":"Multi-class oversampling approach using deep generative adversarial network (MO-DGAN) for remote sensing imagery","display_name":"Multi-class oversampling approach using deep generative adversarial network (MO-DGAN) for remote sensing imagery","publication_year":2025,"publication_date":"2025-12-09","ids":{"openalex":"https://openalex.org/W4417151518","doi":"https://doi.org/10.1007/s41060-025-00958-x"},"language":"en","primary_location":{"id":"doi:10.1007/s41060-025-00958-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s41060-025-00958-x","pdf_url":null,"source":{"id":"https://openalex.org/S4210195017","display_name":"International Journal of Data Science and Analytics","issn_l":"2364-415X","issn":["2364-415X","2364-4168"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Science and Analytics","raw_type":"journal-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/A5113981419","display_name":"Shweta Sharma","orcid":"https://orcid.org/0000-0001-9648-1344"},"institutions":[{"id":"https://openalex.org/I105454292","display_name":"Guru Gobind Singh Indraprastha University","ror":"https://ror.org/034q1za58","country_code":"IN","type":"education","lineage":["https://openalex.org/I105454292"]},{"id":"https://openalex.org/I1311524620","display_name":"National Remote Sensing Centre","ror":"https://ror.org/0491y3t26","country_code":"IN","type":"government","lineage":["https://openalex.org/I1289461252","https://openalex.org/I1311524620","https://openalex.org/I3148377317"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Shweta Sharma","raw_affiliation_strings":["National Remote Sensing Centre, ISRO, Hyderabad, Telangana, India","University School of Information, Communication, and Technology, GGS Indraprastha University, Delhi, India"],"affiliations":[{"raw_affiliation_string":"National Remote Sensing Centre, ISRO, Hyderabad, Telangana, India","institution_ids":["https://openalex.org/I1311524620"]},{"raw_affiliation_string":"University School of Information, Communication, and Technology, GGS Indraprastha University, Delhi, India","institution_ids":["https://openalex.org/I105454292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110784462","display_name":"Anjana Gosain","orcid":null},"institutions":[{"id":"https://openalex.org/I105454292","display_name":"Guru Gobind Singh Indraprastha University","ror":"https://ror.org/034q1za58","country_code":"IN","type":"education","lineage":["https://openalex.org/I105454292"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anjana Gosain","raw_affiliation_strings":["University School of Information, Communication, and Technology, GGS Indraprastha University, Delhi, India"],"affiliations":[{"raw_affiliation_string":"University School of Information, Communication, and Technology, GGS Indraprastha University, Delhi, India","institution_ids":["https://openalex.org/I105454292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113981419"],"corresponding_institution_ids":["https://openalex.org/I105454292","https://openalex.org/I1311524620"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21502627,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.39010000228881836,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.39010000228881836,"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":0.16949999332427979,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.06639999896287918,"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/oversampling","display_name":"Oversampling","score":0.8686000108718872},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.699999988079071},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.616100013256073},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5349000096321106},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.504800021648407},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4117000102996826},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39899998903274536},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.396699994802475},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.3935000002384186}],"concepts":[{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.8686000108718872},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7265999913215637},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.699999988079071},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.616100013256073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5428000092506409},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5349000096321106},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.504800021648407},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4228000044822693},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4205000102519989},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4117000102996826},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39899998903274536},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.396699994802475},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.3935000002384186},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3887999951839447},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3862000107765198},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.36340001225471497},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.3359000086784363},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.2955999970436096},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.28859999775886536},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2865999937057495},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.26739999651908875},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.26249998807907104},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.25589999556541443},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.25459998846054077},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.25440001487731934},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.251800000667572}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s41060-025-00958-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s41060-025-00958-x","pdf_url":null,"source":{"id":"https://openalex.org/S4210195017","display_name":"International Journal of Data Science and Analytics","issn_l":"2364-415X","issn":["2364-415X","2364-4168"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Science and Analytics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2009095018","https://openalex.org/W2084668217","https://openalex.org/W2099454382","https://openalex.org/W2118978333","https://openalex.org/W2120225005","https://openalex.org/W2538183362","https://openalex.org/W2562319768","https://openalex.org/W2756182389","https://openalex.org/W2786667359","https://openalex.org/W2798869704","https://openalex.org/W2884547199","https://openalex.org/W2894931878","https://openalex.org/W2900579266","https://openalex.org/W2962793481","https://openalex.org/W2964194231","https://openalex.org/W2971019578","https://openalex.org/W2973253973","https://openalex.org/W2981515171","https://openalex.org/W3006463225","https://openalex.org/W3010769727","https://openalex.org/W3111180383","https://openalex.org/W3120644841","https://openalex.org/W3122271030","https://openalex.org/W3128484727","https://openalex.org/W3188809990","https://openalex.org/W3189035319","https://openalex.org/W4378191420","https://openalex.org/W4385789921"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-12-10T02:49:46.989445","created_date":"2025-12-09T00:00:00"}
