{"id":"https://openalex.org/W3136313296","doi":"https://doi.org/10.1109/bigdata50022.2020.9378306","title":"An Innovative Framework for Supporting Remote Sensing in Image Processing Systems via Deep Transfer Learning","display_name":"An Innovative Framework for Supporting Remote Sensing in Image Processing Systems via Deep Transfer Learning","publication_year":2020,"publication_date":"2020-12-10","ids":{"openalex":"https://openalex.org/W3136313296","doi":"https://doi.org/10.1109/bigdata50022.2020.9378306","mag":"3136313296"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata50022.2020.9378306","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9378306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","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/A5056903101","display_name":"Oxana Korzh","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Oxana Korzh","raw_affiliation_strings":["Nvidia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nvidia, USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079763100","display_name":"Ashish Sharma","orcid":"https://orcid.org/0000-0002-1011-6504"},"institutions":[{"id":"https://openalex.org/I120156002","display_name":"Boise State University","ror":"https://ror.org/02e3zdp86","country_code":"US","type":"education","lineage":["https://openalex.org/I120156002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ashish Sharma","raw_affiliation_strings":["Computer Science Dept., Boise State University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Dept., Boise State University, USA","institution_ids":["https://openalex.org/I120156002"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025202119","display_name":"Mikel Joaristi","orcid":null},"institutions":[{"id":"https://openalex.org/I120156002","display_name":"Boise State University","ror":"https://ror.org/02e3zdp86","country_code":"US","type":"education","lineage":["https://openalex.org/I120156002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mikel Joaristi","raw_affiliation_strings":["Computer Science Dept., Boise State University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Dept., Boise State University, USA","institution_ids":["https://openalex.org/I120156002"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009094578","display_name":"Edoardo Serra","orcid":"https://orcid.org/0000-0003-0689-5063"},"institutions":[{"id":"https://openalex.org/I120156002","display_name":"Boise State University","ror":"https://ror.org/02e3zdp86","country_code":"US","type":"education","lineage":["https://openalex.org/I120156002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Edoardo Serra","raw_affiliation_strings":["Computer Science Dept., Boise State University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Dept., Boise State University, USA","institution_ids":["https://openalex.org/I120156002"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053225136","display_name":"Alfredo Cuzzocrea","orcid":"https://orcid.org/0000-0002-7104-6415"},"institutions":[{"id":"https://openalex.org/I4210121838","display_name":"Laboratoire Lorrain de Recherche en Informatique et ses Applications","ror":"https://ror.org/02vnf0c38","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4210121838","https://openalex.org/I4210159245","https://openalex.org/I90183372"]},{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["FR","IT"],"is_corresponding":false,"raw_author_name":"Alfredo Cuzzocrea","raw_affiliation_strings":["LORIA, France","iDEA Lab, University of Calabria, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LORIA, France","institution_ids":["https://openalex.org/I4210121838"]},{"raw_affiliation_string":"iDEA Lab, University of Calabria, Italy","institution_ids":["https://openalex.org/I45204951"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"41","issue":null,"first_page":"5098","last_page":"5107"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9990000128746033,"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":0.9990000128746033,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9970999956130981,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9965000152587891,"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/computer-science","display_name":"Computer science","score":0.8546538352966309},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7741565108299255},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.760886013507843},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.704100489616394},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6365227699279785},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5668715238571167},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5291925668716431},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48775798082351685},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4476340711116791},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.443726122379303},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.44351544976234436},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4317641258239746},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.41793251037597656},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.33858782052993774},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30503523349761963}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8546538352966309},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7741565108299255},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.760886013507843},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.704100489616394},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6365227699279785},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5668715238571167},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5291925668716431},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48775798082351685},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4476340711116791},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.443726122379303},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.44351544976234436},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4317641258239746},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.41793251037597656},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.33858782052993774},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30503523349761963},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/bigdata50022.2020.9378306","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9378306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarworks.boisestate.edu:cs_facpubs-1284","is_oa":false,"landing_page_url":"https://scholarworks.boisestate.edu/cs_facpubs/276","pdf_url":null,"source":{"id":"https://openalex.org/S4377196366","display_name":"Scholar Works  (Boise State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I120156002","host_organization_name":"Boise State University","host_organization_lineage":["https://openalex.org/I120156002"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computer Science Faculty Publications and Presentations","raw_type":"text"},{"id":"pmh:oai:HAL:hal-03284181v1","is_oa":false,"landing_page_url":"https://hal.univ-lorraine.fr/hal-03284181","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data), Dec 2020, Atlanta, United States. &#x27E8;10.1109/bigdata50022.2020.9378306&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.5099999904632568}],"awards":[{"id":"https://openalex.org/G3172997804","display_name":"Isite LUE","funder_award_id":"ANR-15-IDEX-0004","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W220935706","https://openalex.org/W639708223","https://openalex.org/W1553404127","https://openalex.org/W1581573489","https://openalex.org/W1616462885","https://openalex.org/W1849245384","https://openalex.org/W1859302478","https://openalex.org/W1963943638","https://openalex.org/W2019778169","https://openalex.org/W2056132907","https://openalex.org/W2061119986","https://openalex.org/W2091825929","https://openalex.org/W2095704239","https://openalex.org/W2098676252","https://openalex.org/W2101544546","https://openalex.org/W2102503069","https://openalex.org/W2115191221","https://openalex.org/W2115878022","https://openalex.org/W2117539524","https://openalex.org/W2118420236","https://openalex.org/W2118980630","https://openalex.org/W2124386111","https://openalex.org/W2124612611","https://openalex.org/W2134845968","https://openalex.org/W2136811977","https://openalex.org/W2151103935","https://openalex.org/W2153829582","https://openalex.org/W2163605009","https://openalex.org/W2165698076","https://openalex.org/W2166916857","https://openalex.org/W2168046285","https://openalex.org/W2253429366","https://openalex.org/W2253590344","https://openalex.org/W2291389488","https://openalex.org/W2397175233","https://openalex.org/W2404400986","https://openalex.org/W2480418144","https://openalex.org/W2515486462","https://openalex.org/W2548491386","https://openalex.org/W2559785631","https://openalex.org/W2566143549","https://openalex.org/W2613718673","https://openalex.org/W2801477643","https://openalex.org/W2808896182","https://openalex.org/W2892946488","https://openalex.org/W2898205548","https://openalex.org/W2910886171","https://openalex.org/W2955547856","https://openalex.org/W2962861647","https://openalex.org/W2962945412","https://openalex.org/W2962958773","https://openalex.org/W2963881378","https://openalex.org/W4300891047","https://openalex.org/W4301504317","https://openalex.org/W6620707391","https://openalex.org/W6636475194","https://openalex.org/W6639188892","https://openalex.org/W6677430534","https://openalex.org/W6680105781","https://openalex.org/W6684191040","https://openalex.org/W6684554773","https://openalex.org/W6712310718","https://openalex.org/W6713658583","https://openalex.org/W6720019270"],"related_works":["https://openalex.org/W4385398839","https://openalex.org/W4384700341","https://openalex.org/W4394759804","https://openalex.org/W3176438653","https://openalex.org/W2981628807","https://openalex.org/W3012393889","https://openalex.org/W4379875147","https://openalex.org/W3189091156","https://openalex.org/W4386087993","https://openalex.org/W3014041368"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3,168],"propose":[4],"a":[5,56,89,127,131,188],"method":[6,28,155],"based":[7,30],"on":[8,31,48,148],"Deep-Learning":[9],"and":[10,25,52,82,124,162,187],"Convolutional":[11],"Neural":[12],"Network":[13],"(CNN)":[14],"ensemble":[15,94,133],"fine-tuning":[16],"for":[17,55,72,159],"the":[18,32,39,65,69,84,100,107,141,149,174],"task":[19],"of":[20,41,68,86,95,106,114,192,196],"remote":[21,193],"sensing":[22,194],"imagery":[23,195],"registration":[24],"processing.":[26],"Our":[27,152],"is":[29,134],"CNN":[33,91,128,132],"transfer":[34],"learning":[35],"technique":[36],"that":[37,44],"allows":[38],"use":[40,169],"large-scale":[42],"models":[43],"are":[45,79,117],"already":[46],"pre-trained":[47],"big":[49,76],"general":[50],"datasets":[51,78],"fine-tunes":[53],"them":[54],"particular":[57],"application":[58],"area.":[59],"This":[60,97],"approach":[61],"can":[62,156],"significantly":[63],"decrease":[64],"needed":[66],"size":[67],"training":[70,77],"set,":[71],"cases":[73],"where":[74],"such":[75,119,143],"not":[80],"available,":[81],"improve":[83],"quality":[85],"classification":[87],"using":[88,126],"larger":[90],"or":[92,146],"an":[93,170],"CNNs.":[96],"paper":[98],"addresses":[99],"challenges":[101],"encountered":[102],"at":[103],"each":[104],"stage":[105],"proposed":[108],"pipeline.":[109],"For":[110],"image":[111,153,160],"registration,":[112],"objects":[113],"predefined":[115],"type":[116],"detected,":[118],"as":[120,144],"roads":[121],"with":[122],"hardcover":[123],"buildings":[125],"ensemble.":[129],"Also,":[130],"used":[135,158],"to":[136],"detect":[137],"undesirable":[138],"structures":[139],"in":[140],"image,":[142],"clouds":[145],"rocks":[147],"agricultural":[150,197],"fields.":[151],"segmentation":[154],"be":[157],"matching":[161],"fusion.":[163],"To":[164],"test":[165],"our":[166],"approach,":[167],"annotated":[171,190],"dataset":[172,191],"from":[173],"Kaggle":[175],"contest":[176],"\"Dstl":[177],"Satellite":[178],"Imagery":[179],"Feature":[180],"Detection,\"":[181],"UC":[182],"Merced":[183],"Land":[184],"Use":[185],"Dataset,":[186],"custom":[189],"areas.":[198]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
