{"id":"https://openalex.org/W2078878045","doi":"https://doi.org/10.1109/geoinformatics.2012.6270346","title":"Object-oriented land cover classification of HJ-1B CCD image through multiple classifier fusion","display_name":"Object-oriented land cover classification of HJ-1B CCD image through multiple classifier fusion","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2078878045","doi":"https://doi.org/10.1109/geoinformatics.2012.6270346","mag":"2078878045"},"language":"en","primary_location":{"id":"doi:10.1109/geoinformatics.2012.6270346","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2012.6270346","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 20th International Conference on Geoinformatics","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/A5058905701","display_name":"Jiahui Xu","orcid":"https://orcid.org/0000-0002-4058-0447"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiahui Xu","raw_affiliation_strings":["International Institute for Earth system Science, Nanjing University, Nanjing, China","International Institute for Earth system Science, Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"International Institute for Earth system Science, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"International Institute for Earth system Science, Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010493327","display_name":"Weimin Ju","orcid":"https://orcid.org/0000-0002-0010-7401"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weimin Ju","raw_affiliation_strings":["International Institute for Earth system Science, Nanjing University, Nanjing, China","International Institute for Earth system Science, Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"International Institute for Earth system Science, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"International Institute for Earth system Science, Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058240242","display_name":"Zhongwen Hu","orcid":"https://orcid.org/0000-0003-2689-3196"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongwen Hu","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","School of Remote Sensing and Information Engineering, Wuhan University, China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5058905701"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":0.2287,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62933961,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9988999962806702,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9934999942779541,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.757431149482727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7040347456932068},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.685876727104187},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6708064675331116},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6454180479049683},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.563127875328064},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5568495988845825},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5371072888374329},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4742485582828522},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.47141262888908386},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.46242326498031616},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.46077555418014526},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.41377392411231995},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3545849919319153},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15782850980758667},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.12284931540489197},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08743813633918762}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.757431149482727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7040347456932068},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.685876727104187},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6708064675331116},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6454180479049683},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.563127875328064},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5568495988845825},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5371072888374329},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4742485582828522},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.47141262888908386},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.46242326498031616},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.46077555418014526},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.41377392411231995},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3545849919319153},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15782850980758667},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.12284931540489197},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08743813633918762},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/geoinformatics.2012.6270346","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2012.6270346","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 20th International Conference on Geoinformatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1557923305","https://openalex.org/W1978617972","https://openalex.org/W2063623478","https://openalex.org/W2069358561","https://openalex.org/W2114393634","https://openalex.org/W2128084896","https://openalex.org/W2133496072","https://openalex.org/W2145803225","https://openalex.org/W2149445133","https://openalex.org/W2350786534","https://openalex.org/W2388772400","https://openalex.org/W2911192433","https://openalex.org/W2911964244","https://openalex.org/W4248455063","https://openalex.org/W6679820939"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W4366990902","https://openalex.org/W4317732970","https://openalex.org/W4388550696","https://openalex.org/W4321636153","https://openalex.org/W4313289487","https://openalex.org/W2074219825","https://openalex.org/W2043913960","https://openalex.org/W3129683637"],"abstract_inverted_index":{"Recently,":[0],"classifier":[1],"fusion":[2],"has":[3,150],"shown":[4],"great":[5],"potential":[6],"to":[7,25,30,130],"increase":[8],"classification":[9,35,123],"accuracy":[10,36],"beyond":[11],"the":[12,32,39,48,51,72,93,96,103,132,137,152,155],"level":[13],"reached":[14],"by":[15],"individual":[16],"classifiers.":[17],"In":[18],"this":[19],"work,":[20],"we":[21],"design":[22],"a":[23],"strategy":[24],"fuse":[26],"several":[27,77],"classifiers":[28,78,127],"aim":[29],"improve":[31,131],"land":[33,83],"cover":[34,84],"effectively.":[37],"Use":[38],"multi-spectral":[40],"remote":[41],"sensing":[42],"image":[43,66],"of":[44,53,95,105,113,136,154],"HJ-1B":[45,143],"CCD":[46],"as":[47,71],"data":[49],"source,":[50],"correlations":[52],"different":[54,60,126],"raster":[55],"bands":[56],"are":[57,62,79,128],"analyzed":[58],"and":[59,68,118,134],"features":[61],"extracted":[63],"for":[64,81],"multi-resolution":[65],"segmentation":[67],"classification,":[69,85],"such":[70],"NDVI,":[73],"NDWI.":[74],"And":[75],"then,":[76],"adopted":[80],"object-oriented":[82],"including":[86],"multiple":[87],"support":[88],"vector":[89],"machine":[90],"(SVM)":[91],"with":[92,102],"core":[94,104],"radial":[97],"based":[98],"function":[99],"(RBF),":[100],"SVM":[101],"linear":[106],"function,":[107],"Neural":[108],"network":[109],"(BP),":[110],"decision":[111],"tree":[112],"rough":[114],"set,":[115],"random":[116],"forest,":[117],"K":[119],"nearest":[120],"neighbor.":[121],"Finally,":[122],"results":[124],"from":[125],"fused":[129],"reliability":[133],"robustness":[135],"results.":[138],"A":[139],"case":[140],"study":[141],"using":[142],"multispectral":[144],"images":[145],"located":[146],"in":[147],"ShanXi":[148],"province":[149],"proved":[151],"effectiveness":[153],"proposed":[156],"method.":[157]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
