{"id":"https://openalex.org/W1983019866","doi":"https://doi.org/10.1109/icalip.2014.7009928","title":"A noise removal approach for object-based classification of VHR imagery via post-classification","display_name":"A noise removal approach for object-based classification of VHR imagery via post-classification","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W1983019866","doi":"https://doi.org/10.1109/icalip.2014.7009928","mag":"1983019866"},"language":"en","primary_location":{"id":"doi:10.1109/icalip.2014.7009928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icalip.2014.7009928","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Audio, Language and Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5112311754","display_name":"Laiwen Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Laiwen Zheng","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing, Shanghai, China","Department of Automation, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101766015","display_name":"Lihong Wan","orcid":"https://orcid.org/0000-0003-2741-6615"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihong Wan","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing, Shanghai, China","Department of Automation, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011090035","display_name":"Hong Huo","orcid":"https://orcid.org/0000-0002-2862-9455"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Huo","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing, Shanghai, China","Department of Automation, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101615935","display_name":"Tao Fang","orcid":"https://orcid.org/0000-0002-8277-2551"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Fang","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing, Shanghai, China","Department of Automation, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"110","issue":null,"first_page":"915","last_page":"920"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9990000128746033,"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":0.9990000128746033,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9987999796867371,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9951000213623047,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.719610333442688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7162944078445435},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6450513601303101},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.6038877964019775},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5666139125823975},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5388613939285278},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5193325281143188},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5192792415618896},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5047913789749146},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.45973312854766846},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.453174889087677},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3351961374282837},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3201301395893097},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1391887664794922}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.719610333442688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7162944078445435},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6450513601303101},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.6038877964019775},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5666139125823975},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5388613939285278},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5193325281143188},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5192792415618896},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5047913789749146},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.45973312854766846},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.453174889087677},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3351961374282837},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3201301395893097},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1391887664794922}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icalip.2014.7009928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icalip.2014.7009928","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Audio, Language 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":19,"referenced_works":["https://openalex.org/W29643851","https://openalex.org/W1973944664","https://openalex.org/W1989193151","https://openalex.org/W1991856651","https://openalex.org/W2023930442","https://openalex.org/W2036583636","https://openalex.org/W2057826737","https://openalex.org/W2059428666","https://openalex.org/W2072938876","https://openalex.org/W2076656703","https://openalex.org/W2081293863","https://openalex.org/W2101051003","https://openalex.org/W2108556791","https://openalex.org/W2109199330","https://openalex.org/W2122061073","https://openalex.org/W2123822317","https://openalex.org/W2127406992","https://openalex.org/W2141926053","https://openalex.org/W2168951883"],"related_works":["https://openalex.org/W2383807498","https://openalex.org/W1978572805","https://openalex.org/W1997992934","https://openalex.org/W1987225439","https://openalex.org/W4238188170","https://openalex.org/W2125114371","https://openalex.org/W2019977573","https://openalex.org/W2149980199","https://openalex.org/W3125766170","https://openalex.org/W1522196789"],"abstract_inverted_index":{"The":[0],"pixel-based":[1,77],"classification":[2,24,47,89,153],"of":[3,12,35,48,59,90,152,154],"remotely":[4],"sensed":[5],"images":[6],"always":[7],"produces":[8],"a":[9,57,82],"large":[10],"amount":[11],"\u201cspeckled\u201d":[13],"or":[14],"\u201csalt":[15],"and":[16,22,68,116,146],"pepper\u201d":[17],"noises.":[18],"Both":[19],"post-classification":[20,71],"smoothing":[21],"object-based":[23,46,88],"techniques":[25],"have":[26],"been":[27],"proposed":[28,142],"to":[29,40,113],"tackle":[30],"this":[31],"problem.":[32],"However,":[33],"most":[34],"them":[36],"are":[37,74,110,122,132],"not":[38],"adequate":[39],"deal":[41],"with":[42],"the":[43,69,129,141,149],"noises":[44],"in":[45],"very":[49],"high":[50],"resolution":[51],"(VHR)":[52],"remote":[53,156],"sensing":[54,157],"imagery,":[55],"because":[56],"lot":[58],"noisy":[60,120,130],"regions":[61,109,121,131],"will":[62],"be":[63],"produced":[64],"by":[65,124,134],"image":[66,101],"segmentation":[67],"existing":[70],"approaches":[72],"generally":[73],"tailored":[75],"towards":[76],"classification.":[78],"This":[79],"paper":[80],"proposes":[81],"novel":[83],"noise":[84],"removal":[85],"approach":[86,143],"for":[87],"VHR":[91,155],"imagery":[92],"via":[93],"post-classification.":[94],"It":[95],"includes":[96],"four":[97],"phases:":[98],"firstly,":[99],"an":[100],"is":[102,144],"segmented":[103],"into":[104],"homogeneous":[105],"regions;":[106],"secondly,":[107],"all":[108],"classified":[111],"according":[112],"their":[114],"spectral":[115],"texture":[117],"features;":[118],"thirdly,":[119],"distinguished":[123],"using":[125,135],"shape":[126],"features.":[127,137],"Finally,":[128],"removed":[133],"contextual":[136],"Experimental":[138],"results":[139],"show":[140],"effective":[145],"can":[147],"improve":[148],"overall":[150],"accuracy":[151],"imagery.":[158]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
