{"id":"https://openalex.org/W2984804178","doi":"https://doi.org/10.1109/lgrs.2019.2949248","title":"Handling the Class Imbalance in Land-Cover Classification Using Bagging-Based Semisupervised Neural Approach","display_name":"Handling the Class Imbalance in Land-Cover Classification Using Bagging-Based Semisupervised Neural Approach","publication_year":2019,"publication_date":"2019-11-07","ids":{"openalex":"https://openalex.org/W2984804178","doi":"https://doi.org/10.1109/lgrs.2019.2949248","mag":"2984804178"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2019.2949248","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2949248","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","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/A5065994320","display_name":"Shounak Chakraborty","orcid":"https://orcid.org/0000-0001-5361-3466"},"institutions":[{"id":"https://openalex.org/I4210089896","display_name":"Indian Institute of Information Technology Guwahati","ror":"https://ror.org/00bb9ch64","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210089896"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Shounak Chakraborty","raw_affiliation_strings":["Indian Institute of Information Technology, Guwahati, India"],"raw_orcid":"https://orcid.org/0000-0001-5361-3466","affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology, Guwahati, India","institution_ids":["https://openalex.org/I4210089896"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028718581","display_name":"Jayashree Phukan","orcid":"https://orcid.org/0000-0002-6379-2397"},"institutions":[{"id":"https://openalex.org/I4210089896","display_name":"Indian Institute of Information Technology Guwahati","ror":"https://ror.org/00bb9ch64","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210089896"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jayashree Phukan","raw_affiliation_strings":["Indian Institute of Information Technology, Guwahati, India"],"raw_orcid":"https://orcid.org/0000-0002-6379-2397","affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology, Guwahati, India","institution_ids":["https://openalex.org/I4210089896"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033060482","display_name":"Moumita Roy","orcid":"https://orcid.org/0000-0002-4176-5961"},"institutions":[{"id":"https://openalex.org/I4210089896","display_name":"Indian Institute of Information Technology Guwahati","ror":"https://ror.org/00bb9ch64","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210089896"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Moumita Roy","raw_affiliation_strings":["Indian Institute of Information Technology, Guwahati, India"],"raw_orcid":"https://orcid.org/0000-0002-4176-5961","affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology, Guwahati, India","institution_ids":["https://openalex.org/I4210089896"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025093894","display_name":"B.B. Chaudhuri","orcid":"https://orcid.org/0000-0003-0297-8929"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Bidyut Baran Chaudhuri","raw_affiliation_strings":["Indian Statistical Institute, Kolkata, India"],"raw_orcid":"https://orcid.org/0000-0003-0297-8929","affiliations":[{"raw_affiliation_string":"Indian Statistical Institute, Kolkata, India","institution_ids":["https://openalex.org/I6498739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5065994320"],"corresponding_institution_ids":["https://openalex.org/I4210089896"],"apc_list":null,"apc_paid":null,"fwci":1.0115,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.83242017,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"17","issue":"9","first_page":"1493","last_page":"1497"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9865000247955322,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9553999900817871,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/undersampling","display_name":"Undersampling","score":0.9570615887641907},{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.7962644100189209},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7029731273651123},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.6830341219902039},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6799867153167725},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6352195739746094},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6226856708526611},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5544247627258301},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.5312331318855286},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5222312211990356},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5070452690124512},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.4926913380622864},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42407748103141785},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3294340968132019},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15617716312408447},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.1326625943183899},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06653675436973572}],"concepts":[{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.9570615887641907},{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.7962644100189209},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7029731273651123},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.6830341219902039},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6799867153167725},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6352195739746094},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6226856708526611},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5544247627258301},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.5312331318855286},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5222312211990356},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5070452690124512},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.4926913380622864},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42407748103141785},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3294340968132019},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15617716312408447},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.1326625943183899},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06653675436973572},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2019.2949248","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2949248","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.5799999833106995}],"awards":[{"id":"https://openalex.org/G5738836281","display_name":null,"funder_award_id":"ECR/2016/001227","funder_id":"https://openalex.org/F4320334771","funder_display_name":"Science and Engineering Research Board"}],"funders":[{"id":"https://openalex.org/F4320334771","display_name":"Science and Engineering Research Board","ror":"https://ror.org/03ffdsr55"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1504710628","https://openalex.org/W1585128438","https://openalex.org/W2065358485","https://openalex.org/W2072615238","https://openalex.org/W2099454382","https://openalex.org/W2119191234","https://openalex.org/W2136256517","https://openalex.org/W2148143831","https://openalex.org/W2614183994","https://openalex.org/W2790031975","https://openalex.org/W2792072890","https://openalex.org/W2794472454","https://openalex.org/W6737563499"],"related_works":["https://openalex.org/W4308469503","https://openalex.org/W32988189","https://openalex.org/W2904737874","https://openalex.org/W80466363","https://openalex.org/W4389233021","https://openalex.org/W2399571531","https://openalex.org/W2947132063","https://openalex.org/W4288337828","https://openalex.org/W4390415670","https://openalex.org/W4287816717"],"abstract_inverted_index":{"In":[0],"this":[1],"letter,":[2],"a":[3,20,28,34],"semisupervised":[4],"neural":[5],"network-based":[6],"approach":[7],"has":[8],"been":[9],"proposed":[10,121],"for":[11],"handling":[12],"the":[13,44,49,53,65,70,77,86,91,97,120],"class-imbalance":[14],"problem":[15],"in":[16,64],"land-cover":[17],"classification":[18],"under":[19],"hybrid":[21],"integration":[22],"of":[23,31,46,119],"selective":[24,35],"undersampling,":[25],"oversampling,":[26],"and":[27,110],"bagging-based":[29],"ensemble":[30],"classifiers.":[32],"Here,":[33],"undersampling":[36],"technique":[37],"is":[38,82],"utilized":[39],"so":[40],"as":[41,103,105],"to":[42,84,125],"minimize":[43],"loss":[45],"information":[47],"from":[48,90,100],"majority":[50],"classes;":[51],"whereas,":[52],"minority":[54,80],"class":[55],"sizes":[56],"are":[57],"simultaneously":[58],"increased":[59],"by":[60],"exploiting":[61],"their":[62],"presence":[63],"unlabeled":[66,88],"test":[67,92],"samples.":[68],"Finally,":[69],"imbalanced":[71],"original":[72],"training":[73],"set":[74],"along":[75],"with":[76],"newly":[78],"found":[79],"samples":[81,89],"used":[83],"classify":[85],"remaining":[87],"set.":[93],"Experiments":[94],"conducted":[95],"on":[96],"patterns":[98],"collected":[99],"multispectral":[101],"(high":[102],"well":[104],"very":[106],"high":[107],"resolution":[108],"images)":[109],"hyperspectral":[111],"remote":[112],"sensing":[113],"satellite":[114],"images":[115],"show":[116],"encouraging":[117],"performance":[118],"scheme":[122],"when":[123],"compared":[124],"other":[126],"state-of-the-art":[127],"techniques.":[128]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}