{"id":"https://openalex.org/W2984974809","doi":"https://doi.org/10.1109/igarss.2019.8899831","title":"Multi-Scale Convolutional SVM Networks for Multi-Class Classification Problems of Remote Sensing Images","display_name":"Multi-Scale Convolutional SVM Networks for Multi-Class Classification Problems of Remote Sensing Images","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2984974809","doi":"https://doi.org/10.1109/igarss.2019.8899831","mag":"2984974809"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8899831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8899831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","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/A5058680339","display_name":"Gabriele Cavallaro","orcid":"https://orcid.org/0000-0002-3239-9904"},"institutions":[{"id":"https://openalex.org/I171892758","display_name":"Forschungszentrum J\u00fclich","ror":"https://ror.org/02nv7yv05","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I171892758"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Gabriele Cavallaro","raw_affiliation_strings":["J\u00fclich Supercomputing Centre, Forschungszentrum J\u00fclich, Germany"],"affiliations":[{"raw_affiliation_string":"J\u00fclich Supercomputing Centre, Forschungszentrum J\u00fclich, Germany","institution_ids":["https://openalex.org/I171892758"]}]},{"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":["Department of Computer Engineering, King Saud University, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, King Saud University, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021389231","display_name":"Farid Melgani","orcid":"https://orcid.org/0000-0001-9745-3732"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Farid Melgani","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008220787","display_name":"Morris Riedel","orcid":"https://orcid.org/0000-0003-1810-9330"},"institutions":[{"id":"https://openalex.org/I171892758","display_name":"Forschungszentrum J\u00fclich","ror":"https://ror.org/02nv7yv05","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I171892758"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Morris Riedel","raw_affiliation_strings":["J\u00fclich Supercomputing Centre, Forschungszentrum J\u00fclich, Germany"],"affiliations":[{"raw_affiliation_string":"J\u00fclich Supercomputing Centre, Forschungszentrum J\u00fclich, Germany","institution_ids":["https://openalex.org/I171892758"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5058680339"],"corresponding_institution_ids":["https://openalex.org/I171892758"],"apc_list":null,"apc_paid":null,"fwci":0.9047,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.79308971,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"875","last_page":"878"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.986299991607666,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.8108707666397095},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7782721519470215},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7468816041946411},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7345736622810364},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6201412081718445},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.537140965461731},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5147569179534912},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4478413462638855},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4385797381401062},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.435604453086853},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.4353090524673462},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.41261059045791626},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.34129539132118225},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0864763855934143},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06688156723976135},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06666728854179382}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8108707666397095},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7782721519470215},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7468816041946411},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7345736622810364},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6201412081718445},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.537140965461731},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5147569179534912},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4478413462638855},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4385797381401062},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.435604453086853},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.4353090524673462},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.41261059045791626},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.34129539132118225},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0864763855934143},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06688156723976135},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06666728854179382},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","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":2,"locations":[{"id":"doi:10.1109/igarss.2019.8899831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8899831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unitn.it:11572/250879","is_oa":false,"landing_page_url":"http://hdl.handle.net/11572/250879","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2119821739","https://openalex.org/W2128529555","https://openalex.org/W2165698076","https://openalex.org/W2179290474","https://openalex.org/W2194775991","https://openalex.org/W2412588858","https://openalex.org/W2751694392","https://openalex.org/W2792542990","https://openalex.org/W2890657893","https://openalex.org/W2963446712","https://openalex.org/W2964194231","https://openalex.org/W3104341624","https://openalex.org/W4210261553","https://openalex.org/W4232827985","https://openalex.org/W4239510810","https://openalex.org/W4300176521","https://openalex.org/W6637373629","https://openalex.org/W6679179291","https://openalex.org/W6685336383","https://openalex.org/W6744073472"],"related_works":["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","https://openalex.org/W2043913960","https://openalex.org/W4386087993","https://openalex.org/W4285815841"],"abstract_inverted_index":{"The":[0,29,53,110],"classification":[1,108],"of":[2,13,20,45,56,72,93,99],"land-cover":[3],"classes":[4],"in":[5,47],"remote":[6],"sensing":[7],"images":[8],"can":[9,104],"suit":[10],"a":[11,70],"variety":[12],"interdisciplinary":[14],"applications":[15],"such":[16],"as":[17,39],"the":[18,26,43,57,66,81,116,121,126],"interpretation":[19],"natural":[21],"and":[22,103,120],"man-made":[23],"processes":[24],"on":[25,61,115,135],"Earth":[27],"surface.":[28],"Convolutional":[30,83,137],"Support":[31,74,84],"Vector":[32,75,85],"Machine":[33,86],"(CSVM)":[34],"network":[35],"was":[36],"recently":[37],"proposed":[38],"binary":[40],"classifier":[41],"for":[42],"detection":[44],"objects":[46],"Unmanned":[48],"Aerial":[49],"Vehicle":[50],"(UAV)":[51],"images.":[52],"training":[54],"phase":[55],"CSVM":[58,94],"is":[59,90],"based":[60,134],"convolutional":[62],"layers":[63],"that":[64,89],"learn":[65],"kernel":[67],"weights":[68],"via":[69],"set":[71],"linear":[73],"Machines":[76],"(SVMs).":[77],"This":[78],"paper":[79],"proposes":[80],"Multi-scale":[82],"(MCSVM)":[87],"network,":[88],"an":[91],"ensemble":[92],"classifiers":[95],"which":[96],"process":[97],"patches":[98],"different":[100],"spatial":[101],"sizes":[102],"deal":[105],"with":[106,129],"multi-class":[107],"problems.":[109],"experiments":[111],"are":[112,123],"carried":[113],"out":[114],"EuroSAT":[117],"Sentinel-2":[118],"dataset":[119],"results":[122],"compared":[124],"to":[125],"one":[127],"obtained":[128],"recent":[130],"transfer":[131],"learning":[132],"approaches":[133],"pre-trained":[136],"Neural":[138],"Networks":[139],"(CNNs).":[140]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}