{"id":"https://openalex.org/W2944516111","doi":"https://doi.org/10.1109/is.2018.8710565","title":"Illegal Buildings Detection from Satellite Images using GoogLeNet and Cadastral Map","display_name":"Illegal Buildings Detection from Satellite Images using GoogLeNet and Cadastral Map","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2944516111","doi":"https://doi.org/10.1109/is.2018.8710565","mag":"2944516111"},"language":"en","primary_location":{"id":"doi:10.1109/is.2018.8710565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/is.2018.8710565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Intelligent Systems (IS)","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/A5037723791","display_name":"Vladislav Ostankovich","orcid":"https://orcid.org/0000-0001-7020-8825"},"institutions":[{"id":"https://openalex.org/I4210116741","display_name":"Innopolis University","ror":"https://ror.org/02b7jh107","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210116741"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Vladislav Ostankovich","raw_affiliation_strings":["Institute of Robotics, Innopolis University, Innopolis, Russia"],"affiliations":[{"raw_affiliation_string":"Institute of Robotics, Innopolis University, Innopolis, Russia","institution_ids":["https://openalex.org/I4210116741"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034417609","display_name":"Ilya Afanasyev","orcid":"https://orcid.org/0000-0002-6658-5369"},"institutions":[{"id":"https://openalex.org/I4210116741","display_name":"Innopolis University","ror":"https://ror.org/02b7jh107","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210116741"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Ilya Afanasyev","raw_affiliation_strings":["Institute of Robotics, Innopolis University, Innopolis, Russia"],"affiliations":[{"raw_affiliation_string":"Institute of Robotics, Innopolis University, Innopolis, Russia","institution_ids":["https://openalex.org/I4210116741"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5037723791"],"corresponding_institution_ids":["https://openalex.org/I4210116741"],"apc_list":null,"apc_paid":null,"fwci":0.913,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.73442752,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"616","last_page":"623"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"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/cadastre","display_name":"Cadastre","score":0.8351819515228271},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7253734469413757},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6798049211502075},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5819862484931946},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5776289105415344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.562752902507782},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.5264723300933838},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4918529987335205},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48230648040771484},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3870534896850586},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3761221766471863},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.328788697719574},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.21526923775672913},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.19827452301979065},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14592483639717102}],"concepts":[{"id":"https://openalex.org/C134207755","wikidata":"https://www.wikidata.org/wiki/Q191072","display_name":"Cadastre","level":2,"score":0.8351819515228271},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7253734469413757},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6798049211502075},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5819862484931946},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5776289105415344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.562752902507782},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.5264723300933838},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4918529987335205},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48230648040771484},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3870534896850586},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3761221766471863},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.328788697719574},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.21526923775672913},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.19827452301979065},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14592483639717102},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/is.2018.8710565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/is.2018.8710565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Intelligent Systems (IS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W197592383","https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1931411869","https://openalex.org/W2028104478","https://openalex.org/W2062413904","https://openalex.org/W2067191022","https://openalex.org/W2079798851","https://openalex.org/W2097117768","https://openalex.org/W2102605133","https://openalex.org/W2103497588","https://openalex.org/W2104241941","https://openalex.org/W2110266146","https://openalex.org/W2116040950","https://openalex.org/W2133059825","https://openalex.org/W2145023731","https://openalex.org/W2162834759","https://openalex.org/W2163605009","https://openalex.org/W2168548458","https://openalex.org/W2269411924","https://openalex.org/W2284448692","https://openalex.org/W2292974565","https://openalex.org/W2297575004","https://openalex.org/W2565428746","https://openalex.org/W2608157486","https://openalex.org/W2728873169","https://openalex.org/W2736627805","https://openalex.org/W2777963195","https://openalex.org/W2787614951","https://openalex.org/W2883888072","https://openalex.org/W2950476788","https://openalex.org/W3105946634","https://openalex.org/W6637373629","https://openalex.org/W6684191040","https://openalex.org/W6752903511"],"related_works":["https://openalex.org/W2361566382","https://openalex.org/W2114233742","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3167935049","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Automatic":[0],"illegal":[1,94],"building":[2,45,56,104,128,154],"detection":[3,105,155],"from":[4,47],"satellite":[5,48,141],"imagery":[6,142],"is":[7,50],"a":[8,40,51,73,134],"specific":[9],"and":[10,17,37,58,67,122,156],"important":[11],"problem":[12],"for":[13,84,107],"both":[14,153],"research":[15],"community":[16],"government":[18],"agencies,":[19],"which":[20],"has":[21],"not":[22],"been":[23],"sufficiently":[24],"investigated":[25],"since":[26],"it":[27],"combines":[28],"the":[29,85,91,112,123,146],"challenge":[30],"of":[31,44,87,93],"automatic":[32],"remote":[33],"sensing":[34],"data":[35],"interpretation":[36],"verification":[38],"with":[39,63,80,111,140],"cadastral":[41,136],"map.":[42,137],"Recovery":[43],"footprints":[46],"images":[49],"very":[52],"complicated":[53],"process":[54],"because":[55],"areas":[57,129],"their":[59],"surroundings":[60],"are":[61,130],"represented":[62],"various":[64,101],"color":[65],"intensities":[66],"complex":[68],"features.":[69],"This":[70],"paper":[71],"proposes":[72],"methodology":[74],"that":[75,145],"incorporates":[76],"image":[77],"processing":[78],"techniques":[79,106],"deep":[81],"learning":[82],"tools":[83],"automatization":[86],"State":[88],"Inspection":[89],"in":[90,152],"field":[92],"buildings":[95],"detection.":[96],"Our":[97,138],"approach":[98,148],"integrates":[99],"four":[100],"computer":[102],"vision-based":[103],"generating":[108],"region":[109],"proposals":[110],"following":[113],"classification":[114],"by":[115],"retrained":[116],"GoogLeNet":[117],"convolutional":[118],"neural":[119],"network":[120],"(CNN)":[121],"final":[124],"validation":[125],"whether":[126],"detected":[127],"legal":[131],"according":[132],"to":[133],"state":[135],"tests":[139],"dataset":[143],"show":[144],"proposed":[147],"achieves":[149],"acceptable":[150],"results":[151],"legality":[157],"assessment.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}