{"id":"https://openalex.org/W2114589208","doi":"https://doi.org/10.1109/igarss.2007.4423476","title":"Assessment of different classification algorithms for burnt land discrimination","display_name":"Assessment of different classification algorithms for burnt land discrimination","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2114589208","doi":"https://doi.org/10.1109/igarss.2007.4423476","mag":"2114589208"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2007.4423476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2007.4423476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5071863061","display_name":"Olivier Zammit","orcid":null},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Olivier Zammit","raw_affiliation_strings":["Ariana research group, INRIA/I3S, Sophia-Antipolis, France","INRIA-I3S, Sophia-Antipolis"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ariana research group, INRIA/I3S, Sophia-Antipolis, France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"INRIA-I3S, Sophia-Antipolis","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106126872","display_name":"Xavier Descombes","orcid":"https://orcid.org/0000-0002-7611-6021"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Xavier Descombes","raw_affiliation_strings":["Ariana research group, INRIA/I3S, Sophia-Antipolis, France","INRIA-I3S, Sophia-Antipolis"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ariana research group, INRIA/I3S, Sophia-Antipolis, France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"INRIA-I3S, Sophia-Antipolis","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018158883","display_name":"Josiane Zerubia","orcid":"https://orcid.org/0000-0002-7444-0856"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Josiane Zerubia","raw_affiliation_strings":["Ariana research group, INRIA/I3S, Sophia-Antipolis, France","INRIA-I3S, Sophia-Antipolis"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ariana research group, INRIA/I3S, Sophia-Antipolis, France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"INRIA-I3S, Sophia-Antipolis","institution_ids":["https://openalex.org/I1326498283"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1326498283"],"apc_list":null,"apc_paid":null,"fwci":3.6177,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.90325625,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3000","last_page":"3003"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10555","display_name":"Fire effects on ecosystems","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10555","display_name":"Fire effects on ecosystems","score":0.9998000264167786,"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":0.9901000261306763,"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"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9850999712944031,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.8180534839630127},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.6342968940734863},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6024394035339355},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.5883350968360901},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5804632902145386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5189618468284607},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5117671489715576},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.47293758392333984},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.43222931027412415},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4321233034133911},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.43023642897605896},{"id":"https://openalex.org/keywords/agency","display_name":"Agency (philosophy)","score":0.41348642110824585},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40538275241851807},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40280821919441223},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35925373435020447},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.31816810369491577},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2641110420227051},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.20520085096359253},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10788896679878235}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8180534839630127},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.6342968940734863},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6024394035339355},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.5883350968360901},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5804632902145386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5189618468284607},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5117671489715576},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.47293758392333984},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.43222931027412415},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4321233034133911},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.43023642897605896},{"id":"https://openalex.org/C108170787","wikidata":"https://www.wikidata.org/wiki/Q3951828","display_name":"Agency (philosophy)","level":2,"score":0.41348642110824585},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40538275241851807},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40280821919441223},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35925373435020447},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.31816810369491577},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2641110420227051},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.20520085096359253},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10788896679878235},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2007.4423476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2007.4423476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6100000143051147,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W561683074","https://openalex.org/W1122728953","https://openalex.org/W1507028917","https://openalex.org/W1542652324","https://openalex.org/W1604938182","https://openalex.org/W1991571876","https://openalex.org/W1996890594","https://openalex.org/W2032196190","https://openalex.org/W2034516548","https://openalex.org/W2075315182","https://openalex.org/W2091362016","https://openalex.org/W2130344049","https://openalex.org/W2132648706","https://openalex.org/W2136251662","https://openalex.org/W2148603752","https://openalex.org/W2156316030","https://openalex.org/W4255698042","https://openalex.org/W6627267922"],"related_works":["https://openalex.org/W2020734820","https://openalex.org/W2043913960","https://openalex.org/W1975547468","https://openalex.org/W2158177428","https://openalex.org/W2804627982","https://openalex.org/W2901444342","https://openalex.org/W2001679188","https://openalex.org/W4205493345","https://openalex.org/W2196068029","https://openalex.org/W2016342027"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"satellite-based":[3],"remote":[4],"sensing":[5],"techniques":[6],"are":[7,48,68,80],"used":[8,49],"for":[9],"assessing":[10],"the":[11,42,46,77,89],"damage":[12],"after":[13],"a":[14,24],"forest":[15],"fire.":[16],"Here,":[17],"burnt":[18,52],"land":[19],"mapping":[20],"is":[21,63],"based":[22],"on":[23],"single":[25],"after-fire":[26],"satellite":[27],"image":[28],"(SPOT":[29],"5).":[30],"Both":[31],"support":[32],"vector":[33],"machines":[34],"(SVM)":[35],"and":[36,61,65],"traditional":[37],"classification":[38],"algorithms":[39],"such":[40],"as":[41],"K-nearest":[43],"neighbours":[44],"or":[45],"K-means":[47,60],"to":[50,70,83],"discriminate":[51],"from":[53],"unburnt":[54],"areas.":[55],"An":[56],"automatic":[57],"method":[58],"combining":[59],"SVM":[62],"presented":[64],"its":[66],"performances":[67],"compared":[69,82],"more":[71],"classical":[72],"methods.":[73],"Maps":[74],"produced":[75],"by":[76,88],"different":[78],"classifiers":[79],"also":[81],"official":[84],"ground":[85],"truth":[86],"provided":[87],"French":[90],"Space":[91],"Agency":[92],"(CNES).":[93]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
