{"id":"https://openalex.org/W1963507465","doi":"https://doi.org/10.1109/igarss.2013.6721092","title":"Large-scalewater classification of coastal areas using airborne topographic lidar data","display_name":"Large-scalewater classification of coastal areas using airborne topographic lidar data","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W1963507465","doi":"https://doi.org/10.1109/igarss.2013.6721092","mag":"1963507465"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2013.6721092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2013.6721092","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS","raw_type":"proceedings-article"},"type":"preprint","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/A5015820893","display_name":"Julien Smeeckaert","orcid":null},"institutions":[{"id":"https://openalex.org/I2945610430","display_name":"Service Hydrographique et Oc\u00e9anographique de la Marine","ror":"https://ror.org/01nre9703","country_code":"FR","type":"government","lineage":["https://openalex.org/I2945610430"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Julien Smeeckaert","raw_affiliation_strings":["SHOM, Brest, France"],"affiliations":[{"raw_affiliation_string":"SHOM, Brest, France","institution_ids":["https://openalex.org/I2945610430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001898964","display_name":"Cl\u00e9ment Mallet","orcid":"https://orcid.org/0000-0002-2675-165X"},"institutions":[{"id":"https://openalex.org/I1327553481","display_name":"Institut national de l\u2019information g\u00e9ographique et foresti\u00e8re","ror":"https://ror.org/05jxfge78","country_code":"FR","type":"government","lineage":["https://openalex.org/I1327553481"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Clement Mallet","raw_affiliation_strings":["IGN, Universit\u00e9 Paris-Est, Saint-Mand\u00e9, France","IGN, Univ. Paris-Est, St. Mande, France"],"affiliations":[{"raw_affiliation_string":"IGN, Universit\u00e9 Paris-Est, Saint-Mand\u00e9, France","institution_ids":[]},{"raw_affiliation_string":"IGN, Univ. Paris-Est, St. Mande, France","institution_ids":["https://openalex.org/I1327553481"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046642649","display_name":"Nicol\u00e1s David","orcid":"https://orcid.org/0000-0002-9143-7683"},"institutions":[{"id":"https://openalex.org/I1327553481","display_name":"Institut national de l\u2019information g\u00e9ographique et foresti\u00e8re","ror":"https://ror.org/05jxfge78","country_code":"FR","type":"government","lineage":["https://openalex.org/I1327553481"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nicolas David","raw_affiliation_strings":["IGN, Universit\u00e9 Paris-Est, Saint-Mand\u00e9, France","IGN, Univ. Paris-Est, St. Mande, France"],"affiliations":[{"raw_affiliation_string":"IGN, Universit\u00e9 Paris-Est, Saint-Mand\u00e9, France","institution_ids":[]},{"raw_affiliation_string":"IGN, Univ. Paris-Est, St. Mande, France","institution_ids":["https://openalex.org/I1327553481"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079887945","display_name":"Nesrine Chehata","orcid":"https://orcid.org/0000-0002-0614-1678"},"institutions":[{"id":"https://openalex.org/I1327553481","display_name":"Institut national de l\u2019information g\u00e9ographique et foresti\u00e8re","ror":"https://ror.org/05jxfge78","country_code":"FR","type":"government","lineage":["https://openalex.org/I1327553481"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nesrine Chehata","raw_affiliation_strings":["IGN, Universit\u00e9 Paris-Est, Saint-Mand\u00e9, France","IGN, Univ. Paris-Est, St. Mande, France"],"affiliations":[{"raw_affiliation_string":"IGN, Universit\u00e9 Paris-Est, Saint-Mand\u00e9, France","institution_ids":[]},{"raw_affiliation_string":"IGN, Univ. Paris-Est, St. Mande, France","institution_ids":["https://openalex.org/I1327553481"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070888429","display_name":"Ant\u00f3nio Ferraz","orcid":"https://orcid.org/0000-0002-5328-5471"},"institutions":[{"id":"https://openalex.org/I4210125590","display_name":"Institute for Systems Engineering and Computers","ror":"https://ror.org/033wn8m60","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590"]},{"id":"https://openalex.org/I1327553481","display_name":"Institut national de l\u2019information g\u00e9ographique et foresti\u00e8re","ror":"https://ror.org/05jxfge78","country_code":"FR","type":"government","lineage":["https://openalex.org/I1327553481"]}],"countries":["FR","PT"],"is_corresponding":false,"raw_author_name":"Antonio Ferraz","raw_affiliation_strings":["INESCC, Instituto de Engenharia de Sistemas e Computadores de Coimbra, Portugal","IGN, Univ. Paris-Est, St. Mande, France"],"affiliations":[{"raw_affiliation_string":"INESCC, Instituto de Engenharia de Sistemas e Computadores de Coimbra, Portugal","institution_ids":["https://openalex.org/I4210125590"]},{"raw_affiliation_string":"IGN, Univ. Paris-Est, St. Mande, France","institution_ids":["https://openalex.org/I1327553481"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5015820893"],"corresponding_institution_ids":["https://openalex.org/I2945610430"],"apc_list":null,"apc_paid":null,"fwci":0.2655,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.60299625,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"61","last_page":"64"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998999834060669,"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9950000047683716,"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/lidar","display_name":"Lidar","score":0.8560067415237427},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.7187617421150208},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6824860572814941},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6388101577758789},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.6372490525245667},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.63299560546875},{"id":"https://openalex.org/keywords/digital-elevation-model","display_name":"Digital elevation model","score":0.6299784779548645},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6153043508529663},{"id":"https://openalex.org/keywords/shore","display_name":"Shore","score":0.4657752215862274},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41444331407546997},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32892170548439026},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.2821469306945801},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2633083164691925},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.23629501461982727},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.21682193875312805}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.8560067415237427},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.7187617421150208},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6824860572814941},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6388101577758789},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.6372490525245667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.63299560546875},{"id":"https://openalex.org/C181843262","wikidata":"https://www.wikidata.org/wiki/Q640492","display_name":"Digital elevation model","level":2,"score":0.6299784779548645},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6153043508529663},{"id":"https://openalex.org/C152382732","wikidata":"https://www.wikidata.org/wiki/Q468756","display_name":"Shore","level":2,"score":0.4657752215862274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41444331407546997},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32892170548439026},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.2821469306945801},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2633083164691925},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.23629501461982727},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.21682193875312805},{"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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"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":3,"locations":[{"id":"doi:10.1109/igarss.2013.6721092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2013.6721092","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.723.7935","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.723.7935","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://recherche.ign.fr/labos/matis/pdf/articles_conf/2013/jsmeeckaertIGARSS2013.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-02384526v1","is_oa":false,"landing_page_url":"https://hal.science/hal-02384526","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IGARSS 2013 - 2013 IEEE International Geoscience and Remote Sensing Symposium, Jul 2013, Melbourne, Australia. pp.61-64, &#x27E8;10.1109/IGARSS.2013.6721092&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1510526001","https://openalex.org/W1996351298","https://openalex.org/W2022512855","https://openalex.org/W2025803711","https://openalex.org/W2036746736","https://openalex.org/W2050173250","https://openalex.org/W2063907334","https://openalex.org/W2150239451","https://openalex.org/W2151952869","https://openalex.org/W2170193566","https://openalex.org/W6682145058"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4281783339","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W4293094720","https://openalex.org/W2739701376","https://openalex.org/W4320725409","https://openalex.org/W2014835793"],"abstract_inverted_index":{"Accurate":[0],"Digital":[1],"Terrain":[2],"Models":[3],"(DTM)":[4],"are":[5,149,174,186],"inevitable":[6],"inputs":[7],"for":[8,71,85,209],"mapping":[9],"areas":[10,134,166],"subject":[11],"to":[12,23,136,158],"natural":[13],"hazards.":[14],"Topographic":[15],"lidar":[16,91,115],"scanning":[17],"has":[18],"become":[19],"an":[20,79,137],"established":[21],"technique":[22],"characterize":[24],"the":[25,30,39,46,54,124,147],"Earth":[26],"surface:":[27],"and":[28,50,82,118,180,216],"reconstruct":[29],"topography.":[31],"For":[32,93],"flood":[33],"hazard":[34],"modeling":[35,44],"in":[36,156],"coastal":[37,213],"areas,":[38],"key":[40],"step":[41,127,155],"before":[42],"terrain":[43],"is":[45,105,121,128],"discrimination":[47,211],"of":[48,88,110,170,172,184,212],"land":[49],"water":[51],"surfaces":[52],"within":[53],"delivered":[55],"point":[56,116,195],"clouds.":[57],"Therefore,":[58],"instantaneous":[59],"shoreline,":[60],"river":[61],"borders,":[62],"inland":[63],"waters":[64],"can":[65],"be":[66],"extracted":[67],"as":[68],"a":[69,96,108,152,206],"basis":[70,208],"more":[72],"reliable":[73],"DTM":[74],"generation.":[75],"This":[76],"paper":[77],"presents":[78],"automatic,":[80],"efficient,":[81],"versatile":[83],"workflow":[84],"land/water":[86],"classification":[87,97],"airborne":[89],"topographic":[90],"data.":[92],"that":[94,168,181],"purpose,":[95],"framework":[98],"based":[99,112],"on":[100,130],"Support":[101],"Vector":[102],"Machines":[103],"(SVM)":[104],"designed.":[106],"First,":[107],"set":[109],"features,":[111],"only":[113],"3D":[114],"coordinates":[117],"flightline":[119],"information,":[120],"defined.":[122],"Then,":[123],"SVM":[125,148],"learning":[126],"performed":[129],"small":[131,182],"but":[132],"well-targeted":[133],"thanks":[135],"automatic":[138],"region":[139],"growing":[140],"strategy.":[141],"Finally,":[142,202],"label":[143],"probabilities":[144],"given":[145],"by":[146],"merged":[150],"during":[151],"probabilistic":[153],"relaxation":[154],"order":[157],"remove":[159],"pixel-wise":[160],"misclassification.":[161],"Results":[162],"over":[163],"two":[164],"large":[165],"show":[167],"survey":[169],"millions":[171],"points":[173],"labelled":[175],"with":[176],"high":[177],"accuracy":[178],"(>95%)":[179],"features":[183],"interest":[185],"still":[187],"well":[188],"classified":[189],"though":[190],"we":[191],"work":[192],"at":[193],"low":[194],"densities":[196],"(2-3pts/m":[197],"<sup":[198],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[199],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[200],").":[201],"our":[203],"approach":[204],"provides":[205],"strong":[207],"further":[210],"land-cover":[214],"classes":[215],"habitats.":[217]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}