{"id":"https://openalex.org/W2075047788","doi":"https://doi.org/10.1109/igarss.2012.6351708","title":"Super pixel based remote sensing image classification with histogram descriptors on spectral and spatial data","display_name":"Super pixel based remote sensing image classification with histogram descriptors on spectral and spatial data","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W2075047788","doi":"https://doi.org/10.1109/igarss.2012.6351708","mag":"2075047788"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2012.6351708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6351708","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Geoscience and Remote Sensing Symposium","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/A5001420166","display_name":"Guangyun Zhang","orcid":"https://orcid.org/0000-0003-2183-9553"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Guangyun Zhang","raw_affiliation_strings":["School of Engineering and Information Technology, University College, University of New South Wales, Canberra, Australia","School of Engineering and Information Technology, University College, University of New South Wales , Canberra, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, University College, University of New South Wales, Canberra, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"School of Engineering and Information Technology, University College, University of New South Wales , Canberra, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024631382","display_name":"Xiuping Jia","orcid":"https://orcid.org/0000-0001-9916-6382"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiuping Jia","raw_affiliation_strings":["School of Engineering and Information Technology, University College, University of New South Wales, Canberra, Australia","School of Engineering and Information Technology, University College, University of New South Wales , Canberra, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, University College, University of New South Wales, Canberra, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"School of Engineering and Information Technology, University College, University of New South Wales , Canberra, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019424682","display_name":"N. M. Kwok","orcid":"https://orcid.org/0000-0002-5430-6860"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ngai M. Kwok","raw_affiliation_strings":["School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, Australia","School of Mechanical and Manufacturing Engineering University of New South Wales Sydney Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"School of Mechanical and Manufacturing Engineering University of New South Wales Sydney Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5001420166"],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":4.1662,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.94173589,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4335","last_page":"4338"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9932000041007996,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9923999905586243,"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/pixel","display_name":"Pixel","score":0.8062613010406494},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.792980432510376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7462776899337769},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.684965968132019},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6281131505966187},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.518439531326294},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.46931955218315125},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4655599892139435},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4250548779964447},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3625223636627197},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2823934555053711},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.25558292865753174},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1675625443458557}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.8062613010406494},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.792980432510376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7462776899337769},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.684965968132019},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6281131505966187},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.518439531326294},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.46931955218315125},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4655599892139435},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4250548779964447},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3625223636627197},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2823934555053711},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.25558292865753174},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1675625443458557},{"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/igarss.2012.6351708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6351708","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1490682695","https://openalex.org/W1999478155","https://openalex.org/W2081894181","https://openalex.org/W2088205960","https://openalex.org/W2114819256","https://openalex.org/W2121888382","https://openalex.org/W2122177361","https://openalex.org/W2128057924","https://openalex.org/W2491899631","https://openalex.org/W2914885528","https://openalex.org/W6629126664"],"related_works":["https://openalex.org/W4285411112","https://openalex.org/W2085033728","https://openalex.org/W2171299904","https://openalex.org/W2394004323","https://openalex.org/W2398764543","https://openalex.org/W2027335291","https://openalex.org/W2922442631","https://openalex.org/W2053596378","https://openalex.org/W1982025852","https://openalex.org/W2168523118"],"abstract_inverted_index":{"Categorization":[0],"based":[1,43],"on":[2],"objects":[3,29],"is":[4,37,47,70,98],"an":[5],"effective":[6],"way":[7],"to":[8,116],"integrate":[9],"spectral":[10,74],"and":[11,49,75],"spatial":[12],"information":[13],"into":[14],"remote":[15],"sensing":[16],"image":[17],"classification.":[18],"In":[19],"this":[20,40],"paper,":[21],"we":[22],"establish":[23],"a":[24,81],"classification":[25],"framework":[26],"which":[27],"represents":[28],"by":[30],"super":[31,41,64,89,111],"pixels.":[32,112],"The":[33],"non-parametric":[34],"k-NN":[35],"approach":[36],"chosen":[38],"for":[39,58,72,84],"pixel":[42],"method,":[44],"as":[45,100],"it":[46],"simple":[48],"free":[50],"of":[51,62,103,109,120],"class":[52],"data":[53],"distribution.":[54],"A":[55],"new":[56],"descriptor":[57,79],"the":[59,88,92,101,104,110,118,121],"features":[60],"distribution":[61],"each":[63],"pixel,":[65],"called":[66],"4-D":[67],"color":[68,107],"histograms,":[69],"used":[71,99],"both":[73],"texture":[76],"information.":[77],"This":[78],"provides":[80],"better":[82],"tolerance":[83],"value":[85],"fluctuations":[86],"inside":[87],"pixel.":[90],"Furthermore,":[91],"\u00c7":[93],"<sub":[94],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[95],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sub>":[96],"distance":[97],"measure":[102],"similarity":[105],"between":[106],"histograms":[108],"Experiments":[113],"are":[114],"conducted":[115],"illustrate":[117],"application":[119],"proposed":[122],"method.":[123]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-30T06:05:26.967640","created_date":"2025-10-10T00:00:00"}