{"id":"https://openalex.org/W2559825955","doi":"https://doi.org/10.1109/jstars.2016.2621818","title":"Classification of Detected Changes From Multitemporal High-Res Xband SAR Images: Intensity and Texture Descriptors From SuperPixels","display_name":"Classification of Detected Changes From Multitemporal High-Res Xband SAR Images: Intensity and Texture Descriptors From SuperPixels","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2559825955","doi":"https://doi.org/10.1109/jstars.2016.2621818","mag":"2559825955"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2016.2621818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2016.2621818","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5084262418","display_name":"Thiago L. M. Barreto","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Thiago L. M. Barreto","raw_affiliation_strings":["Department of Remote Sensing Engineering, Bradar Ind\u00fastria, S\u00e3o Jos\u00e9 dos Campos, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Remote Sensing Engineering, Bradar Ind\u00fastria, S\u00e3o Jos\u00e9 dos Campos, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084693757","display_name":"Rafael A. S. Rosa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rafael A. S. Rosa","raw_affiliation_strings":["Department of Remote Sensing Engineering, Bradar Ind\u00fastria, S\u00e3o Jos\u00e9 dos Campos, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Remote Sensing Engineering, Bradar Ind\u00fastria, S\u00e3o Jos\u00e9 dos Campos, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106037899","display_name":"Christian Wimmer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christian Wimmer","raw_affiliation_strings":["Department of Remote Sensing Engineering, Bradar Ind\u00fastria, S\u00e3o Jos\u00e9 dos Campos, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Remote Sensing Engineering, Bradar Ind\u00fastria, S\u00e3o Jos\u00e9 dos Campos, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033948135","display_name":"J. Moreira","orcid":"https://orcid.org/0009-0001-3380-3585"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joao R. Moreira","raw_affiliation_strings":["Department of Remote Sensing Engineering, Bradar Ind\u00fastria, S\u00e3o Jos\u00e9 dos Campos, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Remote Sensing Engineering, Bradar Ind\u00fastria, S\u00e3o Jos\u00e9 dos Campos, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084453154","display_name":"Leonardo S. Bins","orcid":null},"institutions":[{"id":"https://openalex.org/I80849659","display_name":"National Institute for Space Research","ror":"https://ror.org/04xbn6x09","country_code":"BR","type":"facility","lineage":["https://openalex.org/I4210151455","https://openalex.org/I80849659"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Leonardo S. Bins","raw_affiliation_strings":["National Institute for Space Research (INPE), S\u00e3o Jos\u00e9 dos Campos, Brazil"],"affiliations":[{"raw_affiliation_string":"National Institute for Space Research (INPE), S\u00e3o Jos\u00e9 dos Campos, Brazil","institution_ids":["https://openalex.org/I80849659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051958513","display_name":"F\u00e1bio A. M. Cappabianco","orcid":"https://orcid.org/0000-0002-2139-7938"},"institutions":[{"id":"https://openalex.org/I88273585","display_name":"Universidade Federal de S\u00e3o Paulo","ror":"https://ror.org/02k5swt12","country_code":"BR","type":"education","lineage":["https://openalex.org/I88273585"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Fabio Augusto Menocci Cappabianco","raw_affiliation_strings":["Institute of Science and Technology, Federal University of S\u00e3o Paulo (UNIFESP), S\u00e3o Jos\u00e9 dos Campos, Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Science and Technology, Federal University of S\u00e3o Paulo (UNIFESP), S\u00e3o Jos\u00e9 dos Campos, Brazil","institution_ids":["https://openalex.org/I88273585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089568142","display_name":"Jurandy Almeida","orcid":"https://orcid.org/0000-0002-4998-6996"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jurandy Almeida","raw_affiliation_strings":["Department of Remote Sensing Engineering, Bradar Ind\u00fastria, S\u00e3o Jos\u00e9 dos Campos, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Remote Sensing Engineering, Bradar Ind\u00fastria, S\u00e3o Jos\u00e9 dos Campos, Brazil","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5084262418"],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":4.5213,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.95320664,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"9","issue":"12","first_page":"5436","last_page":"5448"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9951000213623047,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9804999828338623,"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":0.7284219861030579},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6122173070907593},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5651405453681946},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5304073095321655},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5120902061462402},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.510291576385498},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48067721724510193},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.47566479444503784},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.4667383134365082},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.46527501940727234},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.459957480430603},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4340006709098816},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34067732095718384},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1912471354007721},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.17786747217178345},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12416663765907288}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7284219861030579},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6122173070907593},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5651405453681946},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5304073095321655},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5120902061462402},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.510291576385498},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48067721724510193},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.47566479444503784},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.4667383134365082},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.46527501940727234},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.459957480430603},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4340006709098816},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34067732095718384},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1912471354007721},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.17786747217178345},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12416663765907288},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/jstars.2016.2621818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2016.2621818","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:repositorio.unifesp.br:11600/56608","is_oa":false,"landing_page_url":"https://repositorio.unifesp.br/handle/11600/56608","pdf_url":null,"source":{"id":"https://openalex.org/S4377196380","display_name":"UNIFESP Institutional Repository (Universidade Federal de S\u00e3o Paulo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I88273585","host_organization_name":"Universidade Federal de S\u00e3o Paulo","host_organization_lineage":["https://openalex.org/I88273585"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Artigo"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.4300000071525574,"display_name":"Sustainable cities and communities"},{"id":"https://metadata.un.org/sdg/14","score":0.41999998688697815,"display_name":"Life below water"}],"awards":[{"id":"https://openalex.org/G3932284040","display_name":null,"funder_award_id":"#2016/06441-7","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"}],"funders":[{"id":"https://openalex.org/F4320309370","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10"},{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1481399976","https://openalex.org/W1498436455","https://openalex.org/W1525874315","https://openalex.org/W1534784508","https://openalex.org/W1561538811","https://openalex.org/W1844286048","https://openalex.org/W1963994432","https://openalex.org/W1966933160","https://openalex.org/W1968995149","https://openalex.org/W1971894395","https://openalex.org/W1972023946","https://openalex.org/W1990847378","https://openalex.org/W1992969120","https://openalex.org/W1995747879","https://openalex.org/W1999190735","https://openalex.org/W2002466026","https://openalex.org/W2011572981","https://openalex.org/W2021729666","https://openalex.org/W2027001053","https://openalex.org/W2027350727","https://openalex.org/W2028320889","https://openalex.org/W2032234169","https://openalex.org/W2036357120","https://openalex.org/W2041572521","https://openalex.org/W2044465660","https://openalex.org/W2046589280","https://openalex.org/W2047822984","https://openalex.org/W2057670944","https://openalex.org/W2061240006","https://openalex.org/W2063145744","https://openalex.org/W2063907334","https://openalex.org/W2067091601","https://openalex.org/W2069522573","https://openalex.org/W2076576187","https://openalex.org/W2086611999","https://openalex.org/W2087805724","https://openalex.org/W2091231747","https://openalex.org/W2098684142","https://openalex.org/W2109044582","https://openalex.org/W2110519070","https://openalex.org/W2118246710","https://openalex.org/W2133990480","https://openalex.org/W2149697774","https://openalex.org/W2150590310","https://openalex.org/W2150666871","https://openalex.org/W2153635508","https://openalex.org/W2157026765","https://openalex.org/W2202815206","https://openalex.org/W2296343934","https://openalex.org/W2402220650","https://openalex.org/W2438939487","https://openalex.org/W2521868507","https://openalex.org/W2546487586","https://openalex.org/W2981849677","https://openalex.org/W4248916828","https://openalex.org/W4250320908","https://openalex.org/W6638791802","https://openalex.org/W6718519571","https://openalex.org/W6729435352","https://openalex.org/W6769377118"],"related_works":["https://openalex.org/W2568858292","https://openalex.org/W1515964938","https://openalex.org/W2389381914","https://openalex.org/W2376528221","https://openalex.org/W3205829146","https://openalex.org/W2153381734","https://openalex.org/W2050072374","https://openalex.org/W4210966920","https://openalex.org/W2550009779","https://openalex.org/W2043913960"],"abstract_inverted_index":{"Remote":[0],"sensing":[1,66],"has":[2],"been":[3,73],"widely":[4],"employed":[5],"for":[6,35,61,83],"monitoring":[7],"land":[8],"cover":[9],"and":[10,43,99,138,144,151,197,200,238],"usage":[11],"by":[12,154,171],"change":[13,62],"detection":[14,24,63],"techniques.":[15],"In":[16,46],"this":[17],"paper,":[18],"we":[19,102],"cope":[20],"with":[21,139,216],"the":[22,26,33,84,94,123,133,140,172,182,210,213,233],"early":[23],"of":[25,29,86,93,156,181,190,209,229],"first":[27],"signs":[28],"deforestation,":[30,150],"which":[31],"is":[32],"gateway":[34],"illegal":[36],"activities,":[37],"such":[38],"as":[39,53],"unauthorized":[40],"urban":[41],"sprawl":[42],"grazing":[44],"use.":[45],"recent":[47],"years,":[48],"object-based":[49,105],"approaches":[50],"have":[51,72],"emerged":[52],"a":[54,90,157,187,217],"more":[55],"suitable":[56],"alternative":[57],"than":[58],"pixel-based":[59],"methods":[60],"in":[64,79,178,232],"remote":[65],"images.":[67],"Even":[68],"though":[69],"several":[70],"classifiers":[71],"tested,":[74],"there":[75],"was":[76],"little":[77],"effort":[78],"selecting":[80],"appropriated":[81],"features":[82,131],"classification":[85,100],"detected":[87],"changes.":[88,202],"After":[89],"deep":[91],"analysis":[92,208],"existing":[95],"segmentation,":[96],"feature":[97],"extraction,":[98],"approaches,":[101],"propose":[103],"an":[104,205,227],"methodology":[106],"that":[107,223],"consists":[108],"of:":[109],"1)":[110],"segmenting":[111],"multitemporal":[112],"Xband":[113],"high-resolution":[114,167],"synthetic":[115],"aperture":[116],"radar":[117],"(SAR)":[118],"images":[119,136,169],"into":[120,148],"superpixels":[121],"employing":[122],"simple":[124],"linear":[125],"iterative":[126],"clustering":[127],"algorithm;":[128],"2)":[129],"extracting":[130],"using":[132,166],"object":[134],"correlation":[135],"framework":[137],"gray-level":[141],"cooccurrence":[142],"matrix;":[143],"3)":[145],"classifying":[146,239],"areas":[147],"unchanged,":[149],"other":[152],"changes":[153,237],"means":[155],"multilayer":[158],"perceptron":[159],"supervised":[160],"learning":[161],"technique.":[162],"Experiments":[163],"were":[164],"performed":[165],"SAR":[168],"obtained":[170],"airborne":[173],"sensor":[174],"OrbiSAR-2":[175],"from":[176],"BRADAR":[177],"challenging":[179],"scenarios":[180],"Brazilian":[183],"Atlantic":[184],"Forest,":[185],"including":[186],"wide":[188],"variety":[189],"vegetation,":[191],"rivers,":[192],"sea":[193],"coasts,":[194],"urban,":[195],"harvest":[196],"open":[198],"areas,":[199],"humidity":[201],"We":[203],"perform":[204],"extensive":[206],"experimental":[207],"results,":[211],"comparing":[212],"proposed":[214],"method":[215,225],"state-of-the-art":[218],"approach.":[219],"The":[220],"results":[221],"demonstrate":[222],"our":[224],"yields":[226],"improvement":[228],"over":[230],"10%":[231],"accuracy":[234],"while":[235],"detecting":[236],"deforested":[240],"areas.":[241]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}