{"id":"https://openalex.org/W2246731218","doi":"https://doi.org/10.1109/geoinformatics.2015.7378589","title":"High resolution urban image classification combining edge statistical features","display_name":"High resolution urban image classification combining edge statistical features","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W2246731218","doi":"https://doi.org/10.1109/geoinformatics.2015.7378589","mag":"2246731218"},"language":"en","primary_location":{"id":"doi:10.1109/geoinformatics.2015.7378589","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2015.7378589","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd 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/A5091906696","display_name":"Wenzhi Zhao","orcid":"https://orcid.org/0000-0002-3125-2310"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenzhi Zhao","raw_affiliation_strings":["Institute of GIS and remote sensing, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of GIS and remote sensing, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000376902","display_name":"Shihong Du","orcid":"https://orcid.org/0000-0003-0321-8972"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shihong Du","raw_affiliation_strings":["Institute of GIS and remote sensing, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of GIS and remote sensing, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003319158","display_name":"Zhou Guo","orcid":"https://orcid.org/0000-0003-2755-1999"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhou Guo","raw_affiliation_strings":["Institute of GIS and remote sensing, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of GIS and remote sensing, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5091906696"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15914287,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"56","issue":null,"first_page":"1","last_page":"6"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9986000061035156,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.619122326374054},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5382800698280334},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5347299575805664},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5226418972015381},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4961291253566742},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.49092963337898254},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48447370529174805},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.43018639087677},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4102688729763031}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.619122326374054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5382800698280334},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5347299575805664},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5226418972015381},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4961291253566742},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.49092963337898254},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48447370529174805},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.43018639087677},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4102688729763031}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/geoinformatics.2015.7378589","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2015.7378589","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd International Conference on Geoinformatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8600000143051147,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W267351533","https://openalex.org/W1984792953","https://openalex.org/W1994790229","https://openalex.org/W1996351298","https://openalex.org/W1996777760","https://openalex.org/W2060811687","https://openalex.org/W2065769426","https://openalex.org/W2067191022","https://openalex.org/W2110161540","https://openalex.org/W2119879130","https://openalex.org/W2133785052","https://openalex.org/W2139514605","https://openalex.org/W2140620048","https://openalex.org/W2148063443","https://openalex.org/W2153633422","https://openalex.org/W6609907763","https://openalex.org/W6665881311"],"related_works":["https://openalex.org/W2362774332","https://openalex.org/W4249245269","https://openalex.org/W2025681766","https://openalex.org/W2765548132","https://openalex.org/W2542402767","https://openalex.org/W3023086044","https://openalex.org/W3035059915","https://openalex.org/W2142226356","https://openalex.org/W2056165575","https://openalex.org/W3210000161"],"abstract_inverted_index":{"Classification":[0],"with":[1],"very":[2],"high":[3],"resolution":[4],"(VHR)":[5],"urban":[6,95],"images":[7],"is":[8,43,47,102],"challenging":[9],"because":[10],"of":[11,15,17,22,53,71,78,91],"the":[12,50,89],"great":[13],"variations":[14],"spectrums":[16],"pixels":[18],"inside":[19],"objects.":[20],"Plenty":[21],"structural":[23],"information":[24,38,52],"can":[25],"be":[26],"obtained":[27],"over":[28],"edge":[29,36,59,113],"statistics.":[30],"A":[31],"methodology":[32],"for":[33,94,106,111],"incorporating":[34,112],"image":[35,96],"statistical":[37,51,60,114],"into":[39],"conventional":[40],"classification":[41,100],"algorithms":[42],"described.":[44],"The":[45,98],"technique":[46],"built":[48],"on":[49,67],"edges":[54],"which":[55,74],"are":[56],"generated":[57],"by":[58],"model.":[61],"This":[62],"method":[63,110],"has":[64],"been":[65,85],"tested":[66],"a":[68],"selected":[69],"site":[70],"Worldview-II":[72],"data":[73],"covers":[75],"north-west":[76],"part":[77],"Beijing,":[79],"China.":[80],"Nine":[81],"land-cover":[82],"types":[83],"have":[84],"classified":[86],"to":[87],"evaluate":[88],"effectiveness":[90],"edge-based":[92],"features":[93],"classification.":[97],"overall":[99],"accuracy":[101],"82.7%":[103],"and":[104,108],"89.3%":[105],"pixel-based":[107],"object-based":[109],"features,":[115],"respectively.":[116]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}