{"id":"https://openalex.org/W3214509023","doi":"https://doi.org/10.3390/ijgi10110754","title":"Semi-Automatic Extraction of Rural Roads under the Constraint of Combined Geometric and Texture Features","display_name":"Semi-Automatic Extraction of Rural Roads under the Constraint of Combined Geometric and Texture Features","publication_year":2021,"publication_date":"2021-11-09","ids":{"openalex":"https://openalex.org/W3214509023","doi":"https://doi.org/10.3390/ijgi10110754","mag":"3214509023"},"language":"en","primary_location":{"id":"doi:10.3390/ijgi10110754","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi10110754","pdf_url":"https://www.mdpi.com/2220-9964/10/11/754/pdf?version=1636621013","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/2220-9964/10/11/754/pdf?version=1636621013","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061294272","display_name":"Hai Tan","orcid":"https://orcid.org/0000-0002-1760-202X"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210092591","display_name":"China Centre for Resources Satellite Data and Application","ror":"https://ror.org/00ft0fw96","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210092591"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hai Tan","raw_affiliation_strings":["Land Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing 100048, China"],"raw_orcid":"https://orcid.org/0000-0002-1760-202X","affiliations":[{"raw_affiliation_string":"Land Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing 100048, China","institution_ids":["https://openalex.org/I211433327","https://openalex.org/I4210092591"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021356337","display_name":"Zimo Shen","orcid":"https://orcid.org/0000-0002-0662-7854"},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zimo Shen","raw_affiliation_strings":["Institute of Spatiotemporal Transportation Data, Liaoning Technical University, Fuxin 123000, China","School of Geomatics, Liaoning Technical University, Fuxin 123000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Spatiotemporal Transportation Data, Liaoning Technical University, Fuxin 123000, China","institution_ids":["https://openalex.org/I176808543"]},{"raw_affiliation_string":"School of Geomatics, Liaoning Technical University, Fuxin 123000, China","institution_ids":["https://openalex.org/I176808543"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075721700","display_name":"Jiguang Dai","orcid":"https://orcid.org/0000-0003-1539-0673"},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiguang Dai","raw_affiliation_strings":["Institute of Spatiotemporal Transportation Data, Liaoning Technical University, Fuxin 123000, China","School of Geomatics, Liaoning Technical University, Fuxin 123000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Spatiotemporal Transportation Data, Liaoning Technical University, Fuxin 123000, China","institution_ids":["https://openalex.org/I176808543"]},{"raw_affiliation_string":"School of Geomatics, Liaoning Technical University, Fuxin 123000, China","institution_ids":["https://openalex.org/I176808543"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061294272"],"corresponding_institution_ids":["https://openalex.org/I211433327","https://openalex.org/I4210092591"],"apc_list":{"value":1700,"currency":"CHF","value_usd":1893},"apc_paid":{"value":1700,"currency":"CHF","value_usd":1893},"fwci":0.4158,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59891435,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"10","issue":"11","first_page":"754","last_page":"754"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":1.0,"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":1.0,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9484999775886536,"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/computer-science","display_name":"Computer science","score":0.6579336524009705},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5962143540382385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5812088251113892},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5625353455543518},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5587378144264221},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5359692573547363},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.5256891250610352},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.5232609510421753},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5127266645431519},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4871494472026825},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34000715613365173},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27783697843551636},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21611347794532776},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14270657300949097},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11075866222381592}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6579336524009705},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5962143540382385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5812088251113892},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5625353455543518},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5587378144264221},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5359692573547363},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.5256891250610352},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5232609510421753},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5127266645431519},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4871494472026825},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34000715613365173},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27783697843551636},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21611347794532776},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14270657300949097},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11075866222381592},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/ijgi10110754","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi10110754","pdf_url":"https://www.mdpi.com/2220-9964/10/11/754/pdf?version=1636621013","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:270d498f50564a56acdf0a264503f57b","is_oa":true,"landing_page_url":"https://doaj.org/article/270d498f50564a56acdf0a264503f57b","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 10, Iss 11, p 754 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2220-9964/10/11/754/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/ijgi10110754","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; Volume 10; Issue 11; Pages: 754","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/ijgi10110754","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi10110754","pdf_url":"https://www.mdpi.com/2220-9964/10/11/754/pdf?version=1636621013","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":0.75,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G2291612937","display_name":null,"funder_award_id":"AA2111-9","funder_id":"https://openalex.org/F4320316090","funder_display_name":"Ministry of Natural Resources of the People's Republic of China"},{"id":"https://openalex.org/G3373275838","display_name":"\u987e\u53ca\u7279\u5f81\u5dee\u5f02\u6027\u7684\u519c\u6751\u533a\u57df\u9053\u8def\u63d0\u53d6\u65b9\u6cd5\u7814\u7a76","funder_award_id":"42071428","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5157094141","display_name":null,"funder_award_id":"AA2111-9","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320316090","display_name":"Ministry of Natural Resources of the People's Republic of China","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3214509023.pdf","grobid_xml":"https://content.openalex.org/works/W3214509023.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1934098059","https://openalex.org/W1978653883","https://openalex.org/W1999031252","https://openalex.org/W2020436006","https://openalex.org/W2023821222","https://openalex.org/W2026365338","https://openalex.org/W2065722070","https://openalex.org/W2097375363","https://openalex.org/W2120628612","https://openalex.org/W2123680957","https://openalex.org/W2151557389","https://openalex.org/W2155622525","https://openalex.org/W2156044350","https://openalex.org/W2374502433","https://openalex.org/W2557722623","https://openalex.org/W2595659188","https://openalex.org/W2914732278","https://openalex.org/W2986885871","https://openalex.org/W2994345572","https://openalex.org/W2995200414","https://openalex.org/W2996868574","https://openalex.org/W2997342692","https://openalex.org/W3024167159","https://openalex.org/W3081791696","https://openalex.org/W3091856931","https://openalex.org/W3113801957","https://openalex.org/W3119784490","https://openalex.org/W3129376454","https://openalex.org/W3143901569","https://openalex.org/W3147628841","https://openalex.org/W3150573203","https://openalex.org/W3183557592","https://openalex.org/W4383117929","https://openalex.org/W4403783248","https://openalex.org/W6734723330","https://openalex.org/W6784162404","https://openalex.org/W6854581313"],"related_works":["https://openalex.org/W55883722","https://openalex.org/W2394379345","https://openalex.org/W2079726820","https://openalex.org/W3215763795","https://openalex.org/W4288816678","https://openalex.org/W1988570269","https://openalex.org/W2519676117","https://openalex.org/W2002924703","https://openalex.org/W2946668990","https://openalex.org/W2380616566"],"abstract_inverted_index":{"The":[0,149],"extraction":[1,61,71,92,179],"of":[2,21,39,46,57,77,100,112,114,138,158,186],"road":[3,41,60,70,90,103,141,178],"information":[4],"from":[5],"high-resolution":[6],"remotely-sensed":[7],"images":[8],"has":[9],"important":[10],"application":[11],"value":[12],"in":[13,84],"many":[14],"fields.":[15],"Rural":[16],"roads":[17],"have":[18],"the":[19,37,40,44,55,98,101,109,136,170,177,184],"characteristics":[20,30],"relatively":[22],"narrow":[23],"widths":[24],"and":[25,49,79,142],"diversified":[26],"pavement":[27],"materials;":[28],"these":[29],"can":[31,173],"easily":[32],"lead":[33],"to":[34,53,96,145,188],"problems":[35],"involving":[36],"similarity":[38,139],"texture":[42,45,80,130,144],"with":[43,167],"surrounding":[47],"objects":[48],"make":[50],"it":[51],"difficult":[52],"improve":[54,97,183],"automation":[56,187],"traditional":[58],"high-precision":[59],"methods.":[62],"Based":[63],"on":[64],"this":[65,85],"background,":[66],"a":[67,75,117,125,146,189],"semi-automatic":[68],"rural":[69,115],"method":[72,172],"constrained":[73],"by":[74,154],"combination":[76],"geometric":[78,129],"features":[81],"is":[82,94,122,132],"proposed":[83,95,171],"paper.":[86],"First,":[87],"an":[88],"adaptive":[89],"width":[91],"model":[93,121,127],"accuracy":[99,180],"initial":[102],"centre":[104],"point.":[105],"Then,":[106],"aiming":[107],"at":[108],"continuous":[110],"change":[111],"curvature":[113],"roads,":[116],"tracking":[118],"direction":[119],"prediction":[120],"proposed.":[123],"Finally,":[124],"matching":[126],"under":[128],"constraints":[131],"proposed,":[133],"which":[134],"solves":[135],"problem":[137],"between":[140],"neighbourhood":[143],"certain":[147,190],"extent.":[148,191],"experimental":[150,159],"results":[151],"show":[152],"that":[153],"selecting":[155],"different":[156],"types":[157],"scenes":[160],"or":[161],"remotely":[162],"sensed":[163],"image":[164],"data,":[165],"compared":[166],"other":[168],"methods,":[169],"not":[174],"only":[175],"guarantee":[176],"but":[181],"also":[182],"degree":[185]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
