{"id":"https://openalex.org/W4312255516","doi":"https://doi.org/10.1109/tgrs.2022.3211010","title":"Change Detection Based on Convolutional Neural Networks Using Stacks of Wavelength-Resolution Synthetic Aperture Radar Images","display_name":"Change Detection Based on Convolutional Neural Networks Using Stacks of Wavelength-Resolution Synthetic Aperture Radar Images","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312255516","doi":"https://doi.org/10.1109/tgrs.2022.3211010"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3211010","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3211010","pdf_url":"https://ieeexplore.ieee.org/ielx7/36/4358825/09906303.pdf","source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/36/4358825/09906303.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090965383","display_name":"Jo\u00e3o Gabriel Vinholi","orcid":"https://orcid.org/0000-0002-7887-3018"},"institutions":[{"id":"https://openalex.org/I107428990","display_name":"Instituto Tecnol\u00f3gico de Aeron\u00e1utica","ror":"https://ror.org/05vh67662","country_code":"BR","type":"education","lineage":["https://openalex.org/I107428990"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Joao G. Vinholi","raw_affiliation_strings":["Department of Telecommunications, Aeronautics Institute of Technology (ITA), S&#x00E3;o Jos&#x00E9; dos Campos, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-7887-3018","affiliations":[{"raw_affiliation_string":"Department of Telecommunications, Aeronautics Institute of Technology (ITA), S&#x00E3;o Jos&#x00E9; dos Campos, Brazil","institution_ids":["https://openalex.org/I107428990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042153061","display_name":"Bruna G. Palm","orcid":"https://orcid.org/0000-0003-0423-9927"},"institutions":[{"id":"https://openalex.org/I107428990","display_name":"Instituto Tecnol\u00f3gico de Aeron\u00e1utica","ror":"https://ror.org/05vh67662","country_code":"BR","type":"education","lineage":["https://openalex.org/I107428990"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Bruna G. Palm","raw_affiliation_strings":["Department of Telecommunications, Aeronautics Institute of Technology (ITA), S&#x00E3;o Jos&#x00E9; dos Campos, Brazil"],"raw_orcid":"https://orcid.org/0000-0003-0423-9927","affiliations":[{"raw_affiliation_string":"Department of Telecommunications, Aeronautics Institute of Technology (ITA), S&#x00E3;o Jos&#x00E9; dos Campos, Brazil","institution_ids":["https://openalex.org/I107428990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101822966","display_name":"Danilo Silva","orcid":"https://orcid.org/0000-0001-6290-7968"},"institutions":[{"id":"https://openalex.org/I4104125","display_name":"Universidade Federal de Santa Catarina","ror":"https://ror.org/041akq887","country_code":"BR","type":"education","lineage":["https://openalex.org/I4104125"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Danilo Silva","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Federal University of Santa Catarina (UFSC), Florian&#x00F3;polis, Brazil"],"raw_orcid":"https://orcid.org/0000-0001-6290-7968","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Federal University of Santa Catarina (UFSC), Florian&#x00F3;polis, Brazil","institution_ids":["https://openalex.org/I4104125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009137640","display_name":"Renato Machado","orcid":"https://orcid.org/0000-0003-0856-5391"},"institutions":[{"id":"https://openalex.org/I107428990","display_name":"Instituto Tecnol\u00f3gico de Aeron\u00e1utica","ror":"https://ror.org/05vh67662","country_code":"BR","type":"education","lineage":["https://openalex.org/I107428990"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Renato Machado","raw_affiliation_strings":["Department of Telecommunications, Aeronautics Institute of Technology (ITA), S&#x00E3;o Jos&#x00E9; dos Campos, Brazil"],"raw_orcid":"https://orcid.org/0000-0003-0856-5391","affiliations":[{"raw_affiliation_string":"Department of Telecommunications, Aeronautics Institute of Technology (ITA), S&#x00E3;o Jos&#x00E9; dos Campos, Brazil","institution_ids":["https://openalex.org/I107428990"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040572053","display_name":"Mats I. Pettersson","orcid":"https://orcid.org/0000-0002-6643-312X"},"institutions":[{"id":"https://openalex.org/I52719799","display_name":"Blekinge Institute of Technology","ror":"https://ror.org/0093a8w51","country_code":"SE","type":"education","lineage":["https://openalex.org/I52719799"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Mats I. Pettersson","raw_affiliation_strings":["Department of Mathematics and Natural Sciences, Blekinge Institute of Technology (BTH), Karlskrona, Sweden"],"raw_orcid":"https://orcid.org/0000-0002-6643-312X","affiliations":[{"raw_affiliation_string":"Department of Mathematics and Natural Sciences, Blekinge Institute of Technology (BTH), Karlskrona, Sweden","institution_ids":["https://openalex.org/I52719799"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":{"value":4846,"currency":"EUR","value_usd":5226},"fwci":1.3563,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.83131224,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9948999881744385,"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":0.9948999881744385,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9707000255584717,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9552000164985657,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8279645442962646},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.745317816734314},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7401978373527527},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7046837210655212},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.6013944745063782},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5568561553955078},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4742559492588043},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.44690319895744324},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.4386489987373352},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4314945936203003},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.43123728036880493},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.41465115547180176},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38468390703201294},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.32805877923965454},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07430374622344971}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8279645442962646},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.745317816734314},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7401978373527527},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7046837210655212},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.6013944745063782},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5568561553955078},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4742559492588043},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.44690319895744324},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.4386489987373352},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4314945936203003},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.43123728036880493},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.41465115547180176},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38468390703201294},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.32805877923965454},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07430374622344971}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2022.3211010","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3211010","pdf_url":"https://ieeexplore.ieee.org/ielx7/36/4358825/09906303.pdf","source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:DiVA.org:bth-23775","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:bth-23775","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1109/tgrs.2022.3211010","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3211010","pdf_url":"https://ieeexplore.ieee.org/ielx7/36/4358825/09906303.pdf","source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312255516.pdf","grobid_xml":"https://content.openalex.org/works/W4312255516.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W1533861849","https://openalex.org/W1602107991","https://openalex.org/W1901129140","https://openalex.org/W1976390624","https://openalex.org/W2024849840","https://openalex.org/W2025785651","https://openalex.org/W2030571511","https://openalex.org/W2048524554","https://openalex.org/W2056449724","https://openalex.org/W2060225369","https://openalex.org/W2077453609","https://openalex.org/W2083900990","https://openalex.org/W2090736953","https://openalex.org/W2103509420","https://openalex.org/W2126176832","https://openalex.org/W2132221110","https://openalex.org/W2144615653","https://openalex.org/W2166052353","https://openalex.org/W2234908568","https://openalex.org/W2411555974","https://openalex.org/W2462353227","https://openalex.org/W2514035666","https://openalex.org/W2529868343","https://openalex.org/W2568859033","https://openalex.org/W2597537214","https://openalex.org/W2610780507","https://openalex.org/W2757820518","https://openalex.org/W2770553941","https://openalex.org/W2787894218","https://openalex.org/W2792478479","https://openalex.org/W2796454209","https://openalex.org/W2884561390","https://openalex.org/W2886249837","https://openalex.org/W2886490619","https://openalex.org/W2905308820","https://openalex.org/W2911805825","https://openalex.org/W2914314600","https://openalex.org/W2914367944","https://openalex.org/W2957986133","https://openalex.org/W2962858109","https://openalex.org/W2987167780","https://openalex.org/W3002769977","https://openalex.org/W3015059946","https://openalex.org/W3037697040","https://openalex.org/W3045153201","https://openalex.org/W3083468891","https://openalex.org/W3089109695","https://openalex.org/W3092056272","https://openalex.org/W3103000054","https://openalex.org/W3127457833","https://openalex.org/W3133598570","https://openalex.org/W4207028626","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6637567354","https://openalex.org/W6697835675"],"related_works":["https://openalex.org/W3205829146","https://openalex.org/W2545123933","https://openalex.org/W2008518276","https://openalex.org/W1483630349","https://openalex.org/W2585813813","https://openalex.org/W2152662390","https://openalex.org/W3110962985","https://openalex.org/W2042726296","https://openalex.org/W2081203575","https://openalex.org/W2148298232"],"abstract_inverted_index":{"This":[0],"article":[1],"presents":[2],"two":[3],"supervised":[4],"change":[5,55,103],"detection":[6,56,218],"algorithms":[7,169,181,196],"(CDA)":[8],"based":[9,109],"on":[10,110],"convolutional":[11],"neural":[12],"networks":[13],"(CNN)":[14],"that":[15,161,170,186,194],"use":[16,172,189,198],"stacks":[17,46,60,173,204],"of":[18,37,40,54,61,174,205,217,219],"co-registered":[19],"wavelength-resolution":[20],"synthetic":[21],"aperture":[22],"radar":[23],"(SAR)":[24],"images":[25,62,81,145,207],"to":[26,50,123,146,208],"detect":[27],"changes":[28],"in":[29,84],"an":[30],"image":[31,45,97,127,190],"under":[32],"monitoring.":[33],"The":[34,86,105,136],"additional":[35,200],"information":[36,201],"a":[38,111,121,125,147,183],"scene":[39,113],"interest":[41],"provided":[42,202],"by":[43,203],"SAR":[44,76,206],"can":[47,66,89,165,197],"be":[48,67,90],"explored":[49],"enhance":[51],"the":[52,134,162,179,199,215],"performance":[53],"algorithms.":[57],"In":[58],"particular,":[59],"with":[63,142,157],"similar":[64],"statistics":[65],"obtained":[68],"for":[69],"ultra-wideband":[70],"(UWB)":[71],"very":[72],"high":[73],"frequency":[74],"(VHF)":[75],"systems,":[77],"as":[78,120],"they":[79],"produce":[80],"highly":[82],"stable":[83],"time.":[85],"proposed":[87,163,180],"CDAs":[88,164],"summed":[91],"up":[92],"into":[93],"four":[94],"stages:":[95],"difference":[96,126],"formation,":[98],"semantic":[99],"segmentation,":[100],"clustering,":[101],"and":[102],"classification.":[104],"CNN-GSP":[106],"algorithm":[107,138],"is":[108,118],"ground":[112],"prediction":[114],"(GSP)":[115],"image,":[116],"which":[117,150,192],"used":[119],"reference":[122],"form":[124],"(DI).":[128],"A":[129],"CNN-based":[130,148,184,195],"model":[131],"then":[132],"analyzes":[133],"DI.":[135],"CNN-MDI":[137],"feeds":[139],"multiple":[140],"DIs":[141],"identical":[143],"monitored":[144],"model,":[149],"will":[151],"concurrently":[152],"analyze":[153],"their":[154],"features.":[155],"Tests":[156],"CARABAS-II":[158],"data":[159],"show":[160],"outperform":[166],"other":[167],"state-of-the-art":[168],"also":[171],"WR-SAR":[175],"images.":[176],"Beyond":[177],"that,":[178],"outperformed":[182],"CDA":[185],"does":[187],"not":[188],"stacks,":[191],"shows":[193],"reduce":[209],"false":[210],"alarm":[211],"occurrences":[212],"while":[213],"increasing":[214],"probability":[216],"changes.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
