{"id":"https://openalex.org/W3005981477","doi":"https://doi.org/10.3390/ijgi9020109","title":"Research on an Urban Building Area Extraction Method with High-Resolution PolSAR Imaging Based on Adaptive Neighborhood Selection Neighborhoods for Preserving Embedding","display_name":"Research on an Urban Building Area Extraction Method with High-Resolution PolSAR Imaging Based on Adaptive Neighborhood Selection Neighborhoods for Preserving Embedding","publication_year":2020,"publication_date":"2020-02-14","ids":{"openalex":"https://openalex.org/W3005981477","doi":"https://doi.org/10.3390/ijgi9020109","mag":"3005981477"},"language":"en","primary_location":{"id":"doi:10.3390/ijgi9020109","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi9020109","pdf_url":"https://www.mdpi.com/2220-9964/9/2/109/pdf?version=1582874323","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2220-9964/9/2/109/pdf?version=1582874323","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110893215","display_name":"Bo Cheng","orcid":"https://orcid.org/0000-0002-8933-9726"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Cheng","raw_affiliation_strings":["Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, No.9 Dengzhuang South Road, Haidian Distruct, Beijing 100094, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, No.9 Dengzhuang South Road, Haidian Distruct, Beijing 100094, China","institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055621871","display_name":"Shiai Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shiai Cui","raw_affiliation_strings":["Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, No.9 Dengzhuang South Road, Haidian Distruct, Beijing 100094, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, No.9 Dengzhuang South Road, Haidian Distruct, Beijing 100094, China","institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101457275","display_name":"Xiaoxiao Ma","orcid":"https://orcid.org/0000-0002-4791-8914"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxiao Ma","raw_affiliation_strings":["Institute of Software, Chinese Academy of Sciences, Beijing 100190, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Software, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078148930","display_name":"Chenbin Liang","orcid":"https://orcid.org/0000-0002-1499-7177"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenbin Liang","raw_affiliation_strings":["Institute of Automation, School of Artifical Intelligence, Chinese Academy of Sciences, Beijing 100190, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, School of Artifical Intelligence, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5055621871"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128053"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.3825,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66601615,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9","issue":"2","first_page":"109","last_page":"109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9962999820709229,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.967199981212616,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6781683564186096},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6627073287963867},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6596437096595764},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5716211199760437},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5562470555305481},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.48549985885620117},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4803253710269928},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3752920925617218}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6781683564186096},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6627073287963867},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6596437096595764},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5716211199760437},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5562470555305481},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.48549985885620117},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4803253710269928},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3752920925617218}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/ijgi9020109","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi9020109","pdf_url":"https://www.mdpi.com/2220-9964/9/2/109/pdf?version=1582874323","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:541a0a633e844dd09bc32f99c478eb87","is_oa":true,"landing_page_url":"https://doaj.org/article/541a0a633e844dd09bc32f99c478eb87","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information, Vol 9, Iss 2, p 109 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2220-9964/9/2/109/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/ijgi9020109","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/ijgi9020109","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi9020109","pdf_url":"https://www.mdpi.com/2220-9964/9/2/109/pdf?version=1582874323","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8500000238418579,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G5538849239","display_name":"\u57fa\u4e8e\u8ba4\u77e5\u8ba1\u7b97\u7684\u9065\u611f\u536b\u661f\u4e0b\u884c\u6570\u636e\u5373\u65f6\u670d\u52a1\u7684\u7406\u8bba\u4e0e\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61731022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3005981477.pdf","grobid_xml":"https://content.openalex.org/works/W3005981477.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1200956608","https://openalex.org/W1963633096","https://openalex.org/W1991111993","https://openalex.org/W1998563045","https://openalex.org/W2001141328","https://openalex.org/W2001530587","https://openalex.org/W2012347390","https://openalex.org/W2013051270","https://openalex.org/W2013097913","https://openalex.org/W2017063176","https://openalex.org/W2018775529","https://openalex.org/W2024891754","https://openalex.org/W2027068206","https://openalex.org/W2029807279","https://openalex.org/W2044465660","https://openalex.org/W2053186076","https://openalex.org/W2053852479","https://openalex.org/W2065058391","https://openalex.org/W2070472191","https://openalex.org/W2089520361","https://openalex.org/W2096216367","https://openalex.org/W2097308346","https://openalex.org/W2103159199","https://openalex.org/W2104894885","https://openalex.org/W2105166326","https://openalex.org/W2119600955","https://openalex.org/W2130796525","https://openalex.org/W2150981623","https://openalex.org/W2154872931","https://openalex.org/W2165980668","https://openalex.org/W2196042499","https://openalex.org/W2343427453","https://openalex.org/W2360483666","https://openalex.org/W2363877114","https://openalex.org/W2374032040","https://openalex.org/W2383239174","https://openalex.org/W2384033870","https://openalex.org/W2492339683","https://openalex.org/W2507929878","https://openalex.org/W2547026977","https://openalex.org/W2770878209","https://openalex.org/W2781850144","https://openalex.org/W2802128205","https://openalex.org/W2884063926","https://openalex.org/W2909246551","https://openalex.org/W2913019391","https://openalex.org/W2924927660","https://openalex.org/W2975428967","https://openalex.org/W6666402214","https://openalex.org/W6675955514","https://openalex.org/W6682644385","https://openalex.org/W6768237677"],"related_works":["https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2049538278","https://openalex.org/W2886173746","https://openalex.org/W4200043248"],"abstract_inverted_index":{"Feature":[0],"extraction":[1,43,189,212],"of":[2,8,13,27,196,204,213],"an":[3],"urban":[4],"area":[5,42,158,188],"is":[6,59,82,96,106,137,170,191,207],"one":[7],"the":[9,25,50,68,93,99,103,109,114,118,131,135,146,150,156,167,173,182,186,211],"most":[10],"important":[11],"directions":[12],"polarimetric":[14],"synthetic":[15],"aperture":[16],"radar":[17],"(PolSAR)":[18],"applications.":[19],"A":[20],"high-resolution":[21],"PolSAR":[22,46],"image":[23,111],"has":[24],"characteristics":[26],"high":[28],"dimensions":[29],"and":[30,74,89,102,124,134,145,159,176,185,198],"nonlinearity.":[31],"Therefore,":[32],"to":[33,98,112,129,181,210],"find":[34],"intrinsic":[35],"features":[36,63,200],"for":[37,45,108],"target":[38],"recognition,":[39],"a":[40,163,202],"building":[41,132,157,187,214],"method":[44],"images":[47],"based":[48],"on":[49],"Adaptive":[51],"Neighborhoods":[52],"selection":[53],"Neighborhood":[54],"Preserving":[55],"Embedding":[56],"(ANSNPE)":[57],"algorithm":[58,95,152],"proposed.":[60],"First,":[61],"52":[62,90],"are":[64,127,141],"extracted":[65],"by":[66],"using":[67,143,172],"Gray":[69],"level":[70],"co-occurrence":[71],"matrix":[72,105,169],"(GLCM)":[73],"five":[75],"polarization":[76,197],"decomposition":[77],"methods.":[78],"The":[79,194],"feature":[80],"set":[81],"divided":[83],"into":[84],"20":[85],"dimensions,":[86,88],"36":[87],"dimensions.":[91],"Next,":[92],"ANSNPE":[94,151],"applied":[97,180],"training":[100,174],"samples,":[101],"projection":[104,168],"obtained":[107,171],"test":[110],"extract":[113,130,155],"new":[115,183],"features.":[116],"Lastly,":[117],"Support":[119],"Vector":[120],"machine":[121],"(SVM)":[122],"classifier":[123],"post":[125],"processing":[126],"used":[128],"area,":[133],"accuracy":[136,190],"evaluated.":[138],"Comparative":[139],"experiments":[140],"conducted":[142],"Radarsat-2,":[144],"results":[147],"show":[148],"that":[149,160,206],"could":[153,177],"effectively":[154],"it":[161],"had":[162],"better":[164],"generalization":[165],"ability;":[166],"data":[175],"be":[178],"directly":[179],"sample,":[184],"above":[192],"80%.":[193],"combination":[195],"texture":[199],"provide":[201],"wealth":[203],"information":[205],"more":[208],"conducive":[209],"areas.":[215]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}