{"id":"https://openalex.org/W1969020199","doi":"https://doi.org/10.1109/igarss.2012.6352130","title":"Contribution of TerraSAR-X radar images texture for forest monitoring","display_name":"Contribution of TerraSAR-X radar images texture for forest monitoring","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W1969020199","doi":"https://doi.org/10.1109/igarss.2012.6352130","mag":"1969020199"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2012.6352130","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6352130","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 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/A5038694782","display_name":"Hajar Benelcadi","orcid":null},"institutions":[{"id":"https://openalex.org/I2800365227","display_name":"Paris-Est Sup","ror":"https://ror.org/0268ecp52","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800365227"]},{"id":"https://openalex.org/I4210154111","display_name":"Universit\u00e9 Gustave Eiffel","ror":"https://ror.org/03x42jk29","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210154111"]},{"id":"https://openalex.org/I4387155313","display_name":"Laboratoire d'\u00e9lectronique, syst\u00e8mes de communication et microsyst\u00e8mes","ror":"https://ror.org/01m83bk32","country_code":null,"type":"facility","lineage":["https://openalex.org/I124158823","https://openalex.org/I1294671590","https://openalex.org/I4210134562","https://openalex.org/I4210154111","https://openalex.org/I4210156868","https://openalex.org/I4387155313"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"H. Benelcadi","raw_affiliation_strings":["Laboratoire ESYCOM, University of Paris-Est Marne-la-Vall\u00e9e, France","University of Paris-Est Marne-la-Vall\u00e9e, Laboratoire ESYCOM, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire ESYCOM, University of Paris-Est Marne-la-Vall\u00e9e, France","institution_ids":["https://openalex.org/I4387155313","https://openalex.org/I2800365227","https://openalex.org/I4210154111"]},{"raw_affiliation_string":"University of Paris-Est Marne-la-Vall\u00e9e, Laboratoire ESYCOM, France","institution_ids":["https://openalex.org/I4387155313","https://openalex.org/I2800365227","https://openalex.org/I4210154111"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080297557","display_name":"Pierre\u2010Louis Frison","orcid":"https://orcid.org/0000-0002-0956-0085"},"institutions":[{"id":"https://openalex.org/I2800365227","display_name":"Paris-Est Sup","ror":"https://ror.org/0268ecp52","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800365227"]},{"id":"https://openalex.org/I4210154111","display_name":"Universit\u00e9 Gustave Eiffel","ror":"https://ror.org/03x42jk29","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210154111"]},{"id":"https://openalex.org/I4387155313","display_name":"Laboratoire d'\u00e9lectronique, syst\u00e8mes de communication et microsyst\u00e8mes","ror":"https://ror.org/01m83bk32","country_code":null,"type":"facility","lineage":["https://openalex.org/I124158823","https://openalex.org/I1294671590","https://openalex.org/I4210134562","https://openalex.org/I4210154111","https://openalex.org/I4210156868","https://openalex.org/I4387155313"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"P.-L. Frison","raw_affiliation_strings":["Laboratoire ESYCOM, University of Paris-Est Marne-la-Vall\u00e9e, France","University of Paris-Est Marne-la-Vall\u00e9e, Laboratoire ESYCOM, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire ESYCOM, University of Paris-Est Marne-la-Vall\u00e9e, France","institution_ids":["https://openalex.org/I4387155313","https://openalex.org/I2800365227","https://openalex.org/I4210154111"]},{"raw_affiliation_string":"University of Paris-Est Marne-la-Vall\u00e9e, Laboratoire ESYCOM, France","institution_ids":["https://openalex.org/I4387155313","https://openalex.org/I2800365227","https://openalex.org/I4210154111"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030441142","display_name":"C\u00e9dric Lardeux","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121264","display_name":"Office National des For\u00eats","ror":"https://ror.org/01yekza56","country_code":"FR","type":"government","lineage":["https://openalex.org/I4210121264"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"C. Lardeux","raw_affiliation_strings":["ONF International, France","ONF INTERNATIONAL, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ONF International, France","institution_ids":["https://openalex.org/I4210121264"]},{"raw_affiliation_string":"ONF INTERNATIONAL, France","institution_ids":["https://openalex.org/I4210121264"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043414772","display_name":"Anne C\u00e9cile Capel","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121264","display_name":"Office National des For\u00eats","ror":"https://ror.org/01yekza56","country_code":"FR","type":"government","lineage":["https://openalex.org/I4210121264"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"A.-C. Capel","raw_affiliation_strings":["ONF International, France","ONF INTERNATIONAL, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ONF International, France","institution_ids":["https://openalex.org/I4210121264"]},{"raw_affiliation_string":"ONF INTERNATIONAL, France","institution_ids":["https://openalex.org/I4210121264"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045387230","display_name":"J.B. Routier","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121264","display_name":"Office National des For\u00eats","ror":"https://ror.org/01yekza56","country_code":"FR","type":"government","lineage":["https://openalex.org/I4210121264"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J.-B. Routier","raw_affiliation_strings":["ONF International, France","ONF INTERNATIONAL, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ONF International, France","institution_ids":["https://openalex.org/I4210121264"]},{"raw_affiliation_string":"ONF INTERNATIONAL, France","institution_ids":["https://openalex.org/I4210121264"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103468019","display_name":"J.P. Rudant","orcid":null},"institutions":[{"id":"https://openalex.org/I2800365227","display_name":"Paris-Est Sup","ror":"https://ror.org/0268ecp52","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800365227"]},{"id":"https://openalex.org/I4210154111","display_name":"Universit\u00e9 Gustave Eiffel","ror":"https://ror.org/03x42jk29","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210154111"]},{"id":"https://openalex.org/I4387155313","display_name":"Laboratoire d'\u00e9lectronique, syst\u00e8mes de communication et microsyst\u00e8mes","ror":"https://ror.org/01m83bk32","country_code":null,"type":"facility","lineage":["https://openalex.org/I124158823","https://openalex.org/I1294671590","https://openalex.org/I4210134562","https://openalex.org/I4210154111","https://openalex.org/I4210156868","https://openalex.org/I4387155313"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J.-P. Rudant","raw_affiliation_strings":["Laboratoire ESYCOM, University of Paris-Est Marne-la-Vall\u00e9e, France","University of Paris-Est Marne-la-Vall\u00e9e, Laboratoire ESYCOM, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire ESYCOM, University of Paris-Est Marne-la-Vall\u00e9e, France","institution_ids":["https://openalex.org/I4387155313","https://openalex.org/I2800365227","https://openalex.org/I4210154111"]},{"raw_affiliation_string":"University of Paris-Est Marne-la-Vall\u00e9e, Laboratoire ESYCOM, France","institution_ids":["https://openalex.org/I4387155313","https://openalex.org/I2800365227","https://openalex.org/I4210154111"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":14.9522,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.98344801,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2010","issue":null,"first_page":"6427","last_page":"6430"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9990000128746033,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9951000213623047,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer 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":0.6882116794586182},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.6402240991592407},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.625604510307312},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5786925554275513},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5664933323860168},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5512632727622986},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.5466310977935791},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5431694984436035},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5417523980140686},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5349292755126953},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5187411904335022},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.5088055729866028},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5049436688423157},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.48405522108078003},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.45763471722602844},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3396945595741272},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.31411880254745483},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.23485365509986877},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21656814217567444}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6882116794586182},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.6402240991592407},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.625604510307312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5786925554275513},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5664933323860168},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5512632727622986},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.5466310977935791},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5431694984436035},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5417523980140686},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5349292755126953},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5187411904335022},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.5088055729866028},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5049436688423157},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.48405522108078003},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.45763471722602844},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3396945595741272},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.31411880254745483},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.23485365509986877},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21656814217567444},{"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2012.6352130","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6352130","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"},{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1517946821","https://openalex.org/W1966194886","https://openalex.org/W2044465660","https://openalex.org/W2132012856","https://openalex.org/W2139212933","https://openalex.org/W2148115499","https://openalex.org/W2161848987"],"related_works":["https://openalex.org/W4401361218","https://openalex.org/W2034680797","https://openalex.org/W2967426019","https://openalex.org/W3210752578","https://openalex.org/W2990537558","https://openalex.org/W4207040723","https://openalex.org/W2621610018","https://openalex.org/W2601142304","https://openalex.org/W4300960428","https://openalex.org/W1975547468"],"abstract_inverted_index":{"This":[0,59],"study":[1],"aims":[2],"to":[3,94,107],"evaluate":[4],"the":[5,21,33,44,49,52,64,76,102,113,116,128,131,144,147],"texture":[6],"analysis":[7,53,65,139],"of":[8,23,29,35,51,54,66,73,104,115,130,140,146],"high":[9],"spatial":[10,27],"resolution":[11,28],"images":[12],"for":[13,32,57,122],"mapping":[14],"tropical":[15,36],"forests.":[16],"More":[17],"precisely,":[18],"it":[19,81],"evaluates":[20],"potential":[22],"TerraSAR-X":[24],"image,":[25],"with":[26,92,154,160],"0.5":[30],"meter":[31],"classification":[34,74,117,123,162],"forests":[37],"located":[38],"in":[39],"southern":[40],"Cambodia.":[41],"In":[42],"particular,":[43],"focus":[45],"is":[46,61,75,168],"put":[47],"on":[48,127],"contribution":[50],"textural":[55,68],"information":[56],"classification.":[58],"latter":[60],"apprehended":[62],"through":[63],"Haralick":[67,105],"parameters.":[69],"The":[70],"retained":[71],"algorithm":[72],"Support":[77],"Vector":[78],"Machine,":[79],"as":[80],"allows":[82,142],"taking":[83],"into":[84],"account":[85],"numerous":[86],"parameters,":[87],"which":[88,134],"can":[89],"be":[90],"heterogeneous":[91],"respect":[93],"their":[95,120],"physical":[96],"dimension.":[97],"First":[98],"results":[99,151],"show":[100],"that":[101],"addition":[103],"parameters":[106],"intensity":[108],"channel":[109],"may":[110],"improve":[111],"significantly":[112],"accuracy":[114,163],"results.":[118],"However,":[119],"performance":[121],"discrimination":[124],"strongly":[125],"depends":[126],"size":[129],"neighborhood":[132,148],"from":[133],"they":[135],"are":[136,152],"estimated.":[137],"Preliminary":[138],"variograms":[141],"optimizing":[143],"choice":[145],"size.":[149],"Best":[150],"obtained":[153],"a":[155,161],"25\u00d725":[156],"sliding":[157],"window":[158],"size,":[159],"improvement":[164],"higher":[165],"than":[166],"50%":[167],"observed.":[169]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}