{"id":"https://openalex.org/W2108455258","doi":"https://doi.org/10.1109/igarss.2002.1027185","title":"A wavelet transform based method for road extraction from high-resolution remotely sensed data","display_name":"A wavelet transform based method for road extraction from high-resolution remotely sensed data","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2108455258","doi":"https://doi.org/10.1109/igarss.2002.1027185","mag":"2108455258"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2002.1027185","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2002.1027185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"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/A5051076259","display_name":"Tieling Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Tieling Chen","raw_affiliation_strings":["Department of Computer Science, University of Western Ontario, London, ONT, Canada","[Department of Computer Science, University of Western Ontario, London, ONT, Canada]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Western Ontario, London, ONT, Canada","institution_ids":["https://openalex.org/I125749732"]},{"raw_affiliation_string":"[Department of Computer Science, University of Western Ontario, London, ONT, Canada]","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006022882","display_name":"Jinfei Wang","orcid":"https://orcid.org/0000-0002-8404-0530"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jinfei Wang","raw_affiliation_strings":["Department of Geography, University of Western Ontario, London, ONT, Canada","[Department of Computer Science, University of Western Ontario, London, ONT, Canada]"],"affiliations":[{"raw_affiliation_string":"Department of Geography, University of Western Ontario, London, ONT, Canada","institution_ids":["https://openalex.org/I125749732"]},{"raw_affiliation_string":"[Department of Computer Science, University of Western Ontario, London, ONT, Canada]","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081729547","display_name":"Kaizhong Zhang","orcid":"https://orcid.org/0000-0003-1734-5921"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kaizhong Zhang","raw_affiliation_strings":["Department of Computer Science, University of Western Ontario, London, ONT, Canada","[Department of Computer Science, University of Western Ontario, London, ONT, Canada]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Western Ontario, London, ONT, Canada","institution_ids":["https://openalex.org/I125749732"]},{"raw_affiliation_string":"[Department of Computer Science, University of Western Ontario, London, ONT, Canada]","institution_ids":["https://openalex.org/I125749732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051076259"],"corresponding_institution_ids":["https://openalex.org/I125749732"],"apc_list":null,"apc_paid":null,"fwci":4.248,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.93428987,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"6","issue":null,"first_page":"3369","last_page":"3371"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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":0.9968000054359436,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9912999868392944,"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/wavelet-transform","display_name":"Wavelet transform","score":0.8012529611587524},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6950567364692688},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6730065941810608},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6308574676513672},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6277490854263306},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5681214928627014},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5172420144081116},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.5143700838088989},{"id":"https://openalex.org/keywords/lifting-scheme","display_name":"Lifting scheme","score":0.5079687237739563},{"id":"https://openalex.org/keywords/second-generation-wavelet-transform","display_name":"Second-generation wavelet transform","score":0.5054621696472168},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.48910409212112427},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47763338685035706},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.46519720554351807},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.4303247928619385},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.42273059487342834},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41783788800239563},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.17582643032073975},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.06596881151199341}],"concepts":[{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.8012529611587524},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6950567364692688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6730065941810608},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6308574676513672},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6277490854263306},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5681214928627014},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5172420144081116},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.5143700838088989},{"id":"https://openalex.org/C199550912","wikidata":"https://www.wikidata.org/wiki/Q3238415","display_name":"Lifting scheme","level":5,"score":0.5079687237739563},{"id":"https://openalex.org/C111350171","wikidata":"https://www.wikidata.org/wiki/Q7443700","display_name":"Second-generation wavelet transform","level":5,"score":0.5054621696472168},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.48910409212112427},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47763338685035706},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.46519720554351807},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.4303247928619385},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.42273059487342834},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41783788800239563},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17582643032073975},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.06596881151199341},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2002.1027185","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2002.1027185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6800000071525574,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2004217976","https://openalex.org/W2515681757","https://openalex.org/W4214540058","https://openalex.org/W4285719527","https://openalex.org/W6726115256"],"related_works":["https://openalex.org/W1588899229","https://openalex.org/W2085792030","https://openalex.org/W68308810","https://openalex.org/W2144408025","https://openalex.org/W1506615375","https://openalex.org/W1967182499","https://openalex.org/W2358271565","https://openalex.org/W1917032666","https://openalex.org/W2205192157","https://openalex.org/W2060489042"],"abstract_inverted_index":{"A":[0],"wavelet":[1,24],"transform":[2],"based":[3],"method":[4],"for":[5],"road":[6],"extraction":[7],"is":[8],"introduced.":[9],"It":[10],"characterizes":[11],"the":[12,32],"edges":[13],"of":[14],"roads":[15],"in":[16],"high-resolution":[17],"remotely":[18],"sensed":[19],"images":[20],"through":[21],"their":[22],"multi-scale":[23],"transforms.":[25],"Road":[26],"networks":[27],"are":[28],"extracted":[29],"efficiently":[30],"from":[31],"images.":[33]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
