{"id":"https://openalex.org/W2086355237","doi":"https://doi.org/10.1109/jstars.2015.2404578","title":"Object Detection Based on Sparse Representation and Hough Voting for Optical Remote Sensing Imagery","display_name":"Object Detection Based on Sparse Representation and Hough Voting for Optical Remote Sensing Imagery","publication_year":2015,"publication_date":"2015-03-11","ids":{"openalex":"https://openalex.org/W2086355237","doi":"https://doi.org/10.1109/jstars.2015.2404578","mag":"2086355237"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2015.2404578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2015.2404578","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/A5034435383","display_name":"Naoto Yokoya","orcid":"https://orcid.org/0000-0002-7321-4590"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoto Yokoya","raw_affiliation_strings":["Department of Advanced Interdisciplinary Studies, University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Advanced Interdisciplinary Studies, University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005014399","display_name":"Akira Iwasaki","orcid":"https://orcid.org/0000-0002-1603-8041"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akira Iwasaki","raw_affiliation_strings":["Department of Advanced Interdisciplinary Studies, University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Advanced Interdisciplinary Studies, University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":{"value":1800,"currency":"USD","value_usd":1800},"apc_paid":null,"fwci":14.7009,"has_fulltext":false,"cited_by_count":93,"citation_normalized_percentile":{"value":0.98976787,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"8","issue":"5","first_page":"2053","last_page":"2062"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9979000091552734,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7877932786941528},{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.7762700319290161},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7560713291168213},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7499353289604187},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6950280666351318},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6743460893630981},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.608677864074707},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5214619040489197},{"id":"https://openalex.org/keywords/object-class-detection","display_name":"Object-class detection","score":0.5206834077835083},{"id":"https://openalex.org/keywords/viola\u2013jones-object-detection-framework","display_name":"Viola\u2013Jones object detection framework","score":0.505980908870697},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4997098445892334},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4996490478515625},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4964473843574524},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4483463168144226},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4446660280227661},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44423747062683105},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3341004252433777},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1503535807132721},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.06745240092277527}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7877932786941528},{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.7762700319290161},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7560713291168213},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7499353289604187},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6950280666351318},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6743460893630981},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.608677864074707},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5214619040489197},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.5206834077835083},{"id":"https://openalex.org/C182521987","wikidata":"https://www.wikidata.org/wiki/Q2493877","display_name":"Viola\u2013Jones object detection framework","level":5,"score":0.505980908870697},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4997098445892334},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4996490478515625},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4964473843574524},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4483463168144226},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4446660280227661},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44423747062683105},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3341004252433777},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1503535807132721},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.06745240092277527},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2015.2404578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2015.2404578","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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G4916487872","display_name":"Superresolution of Remote Sensing Data using Data Fusion Technique","funder_award_id":"24360347","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8086252123","display_name":"Multidimensional high-resolution remote sensing based on spectral data fusion","funder_award_id":"15K20955","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W22745672","https://openalex.org/W1532372219","https://openalex.org/W1591116419","https://openalex.org/W1963932623","https://openalex.org/W1976645892","https://openalex.org/W1995444699","https://openalex.org/W2027805700","https://openalex.org/W2037034832","https://openalex.org/W2037143195","https://openalex.org/W2069959554","https://openalex.org/W2080370442","https://openalex.org/W2082855665","https://openalex.org/W2091206906","https://openalex.org/W2095537868","https://openalex.org/W2100503224","https://openalex.org/W2111308925","https://openalex.org/W2114061939","https://openalex.org/W2114122776","https://openalex.org/W2120515362","https://openalex.org/W2128659236","https://openalex.org/W2129812935","https://openalex.org/W2135931458","https://openalex.org/W2144730066","https://openalex.org/W2145023731","https://openalex.org/W2145287260","https://openalex.org/W2151103935","https://openalex.org/W2151693816","https://openalex.org/W2154422044","https://openalex.org/W2156406284","https://openalex.org/W2157785665","https://openalex.org/W2160225842","https://openalex.org/W2160547390","https://openalex.org/W2161516371","https://openalex.org/W2161969291","https://openalex.org/W2163112044","https://openalex.org/W2163398148","https://openalex.org/W2163957348","https://openalex.org/W2164383685","https://openalex.org/W2164598857","https://openalex.org/W2166717394","https://openalex.org/W2296616510","https://openalex.org/W3081727571","https://openalex.org/W4235713725","https://openalex.org/W4241541897","https://openalex.org/W4250955649","https://openalex.org/W4255493559","https://openalex.org/W6683660953"],"related_works":["https://openalex.org/W3204852000","https://openalex.org/W4205668735","https://openalex.org/W2901758161","https://openalex.org/W4297797959","https://openalex.org/W4297491714","https://openalex.org/W3114299475","https://openalex.org/W4312834249","https://openalex.org/W3108847140","https://openalex.org/W3209429418","https://openalex.org/W4387272257"],"abstract_inverted_index":{"We":[0,64],"present":[1],"a":[2,72,85,94],"novel":[3],"method":[4,23,103],"for":[5,27,107],"detecting":[6],"instances":[7],"of":[8,43,75],"an":[9],"object":[10,14,32,62,82],"class":[11],"or":[12],"specific":[13],"in":[15],"high-spatial-resolution":[16],"optical":[17],"remote":[18],"sensing":[19],"images.":[20],"The":[21],"proposed":[22,102],"integrates":[24],"sparse":[25,40],"representations":[26,42],"local-feature":[28],"detection":[29,112],"into":[30],"generalized-Hough-transform":[31],"detection.":[33,63],"Object":[34],"parts":[35,83],"are":[36,91],"detected":[37],"via":[38],"class-specific":[39],"image":[41],"patches":[44],"using":[45,71],"learned":[46],"target":[47,69,86],"and":[48,51,113],"background":[49,95],"dictionaries,":[50],"their":[52],"co-occurrence":[53],"is":[54],"spatially":[55],"integrated":[56],"by":[57,79,93],"Hough":[58],"voting,":[59],"which":[60],"enables":[61],"aim":[65],"to":[66],"efficiently":[67],"detect":[68],"objects":[70],"small":[73],"set":[74],"positive":[76],"training":[77],"samples":[78],"matching":[80],"essential":[81],"with":[84],"dictionary":[87],"while":[88],"the":[89,101],"residuals":[90],"explained":[92],"dictionary.":[96],"Experimental":[97],"results":[98],"show":[99],"that":[100],"achieves":[104],"state-of-the-art":[105],"performance":[106],"several":[108],"examples":[109],"including":[110],"object-class":[111],"specific-object":[114],"identification.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":13},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":3}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
