{"id":"https://openalex.org/W2011778048","doi":"https://doi.org/10.1145/2425333.2425344","title":"Aerial scene recognition using efficient sparse representation","display_name":"Aerial scene recognition using efficient sparse representation","publication_year":2012,"publication_date":"2012-12-16","ids":{"openalex":"https://openalex.org/W2011778048","doi":"https://doi.org/10.1145/2425333.2425344","mag":"2011778048"},"language":"en","primary_location":{"id":"doi:10.1145/2425333.2425344","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2425333.2425344","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing","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/A5068259837","display_name":"Anil Cheriyadat","orcid":null},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Anil Cheriyadat","raw_affiliation_strings":["Oak Ridge National Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory","institution_ids":["https://openalex.org/I1289243028"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5068259837"],"corresponding_institution_ids":["https://openalex.org/I1289243028"],"apc_list":null,"apc_paid":null,"fwci":1.3882,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82705887,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9987000226974487,"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":0.7919403314590454},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.752230167388916},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.662294328212738},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.6433664560317993},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6184674501419067},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6118207573890686},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5146478414535522},{"id":"https://openalex.org/keywords/associative-array","display_name":"Associative array","score":0.49899959564208984},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4941695034503937},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4667639434337616},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.44015738368034363},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43172502517700195},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4264965355396271},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4252961277961731},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4223973751068115},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4116939902305603},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3237783908843994},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08803042769432068}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7919403314590454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.752230167388916},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.662294328212738},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.6433664560317993},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6184674501419067},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6118207573890686},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5146478414535522},{"id":"https://openalex.org/C168781493","wikidata":"https://www.wikidata.org/wiki/Q80585","display_name":"Associative array","level":2,"score":0.49899959564208984},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4941695034503937},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4667639434337616},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.44015738368034363},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43172502517700195},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4264965355396271},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4252961277961731},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4223973751068115},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4116939902305603},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3237783908843994},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08803042769432068},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2425333.2425344","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2425333.2425344","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2027922120","https://openalex.org/W2066941820","https://openalex.org/W2069959554","https://openalex.org/W2077689834","https://openalex.org/W2090042335","https://openalex.org/W2097018403","https://openalex.org/W2104405269","https://openalex.org/W2107034620","https://openalex.org/W2113606819","https://openalex.org/W2118103795","https://openalex.org/W2118718620","https://openalex.org/W2121915926","https://openalex.org/W2123649031","https://openalex.org/W2124386111","https://openalex.org/W2128659236","https://openalex.org/W2131846894","https://openalex.org/W2135011950","https://openalex.org/W2141303268","https://openalex.org/W2145406111","https://openalex.org/W2149035855","https://openalex.org/W2152414269","https://openalex.org/W2153635508","https://openalex.org/W2154301842","https://openalex.org/W2155231285","https://openalex.org/W2162915993","https://openalex.org/W2170441325","https://openalex.org/W2184852195","https://openalex.org/W4249142012"],"related_works":["https://openalex.org/W3147207884","https://openalex.org/W2288994867","https://openalex.org/W4321021665","https://openalex.org/W2930504574","https://openalex.org/W2047275718","https://openalex.org/W1836423264","https://openalex.org/W2044636610","https://openalex.org/W2801169440","https://openalex.org/W2005724922","https://openalex.org/W2311555926"],"abstract_inverted_index":{"Advanced":[0],"scene":[1,20,43,149],"recognition":[2,21,44],"systems":[3],"for":[4,165],"processing":[5],"large":[6],"volumes":[7],"of":[8,30,66,87],"high-resolution":[9,141,172],"aerial":[10,142,148,173],"image":[11,49,80,143],"data":[12],"are":[13,38,162],"in":[14,35,40],"great":[15],"demand":[16],"today.":[17],"However,":[18],"automated":[19,42],"remains":[22],"a":[23,85,118],"challenging":[24],"problem.":[25],"Efficient":[26],"encoding":[27],"and":[28,32,55,99,159],"representation":[29,50,160],"spatial":[31],"structural":[33],"patterns":[34],"the":[36,92,96,108,147,155],"imagery":[37],"key":[39],"developing":[41],"algorithms.":[45],"We":[46,90,136,152],"describe":[47],"an":[48],"approach":[51],"that":[52,154],"uses":[53],"simple":[54,101],"computationally":[56],"efficient":[57],"sparse":[58,109,115],"code":[59],"computation":[60],"to":[61,83,106,140,145],"generate":[62],"accurate":[63],"features":[64,94,116],"capable":[65],"producing":[67],"excellent":[68],"classification":[69,134,150],"performance":[70],"using":[71],"linear":[72],"SVM":[73],"kernels.":[74],"Our":[75],"method":[76],"exploits":[77],"unlabeled":[78],"low-level":[79,93],"feature":[81,157],"measurements":[82],"learn":[84],"set":[86],"basis":[88,97],"vectors.":[89],"project":[91],"onto":[95],"vectors":[98],"use":[100],"soft":[102],"threshold":[103],"activation":[104],"function":[105],"derive":[107],"features.":[110],"The":[111],"proposed":[112],"technique":[113,139],"generates":[114],"at":[117],"significantly":[119],"lower":[120],"computational":[121],"cost":[122],"than":[123],"other":[124],"methods":[125,161],"[25,":[126],"27],":[127],"yet":[128],"it":[129],"produces":[130],"comparable":[131],"or":[132],"better":[133],"accuracy.":[135],"apply":[137],"our":[138],"datasets":[144],"quantify":[146],"performance.":[151],"demonstrate":[153],"dense":[156],"extraction":[158],"highly":[163],"effective":[164],"automatic":[166],"large-facility":[167],"detection":[168],"on":[169],"wide":[170],"area":[171],"imagery.":[174]},"counts_by_year":[{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2}],"updated_date":"2026-06-13T07:54:00.901334","created_date":"2025-10-10T00:00:00"}