{"id":"https://openalex.org/W2103018317","doi":"https://doi.org/10.1109/igarss.2009.5417485","title":"Assessment of interest points detection algorithms in OTB","display_name":"Assessment of interest points detection algorithms in OTB","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2103018317","doi":"https://doi.org/10.1109/igarss.2009.5417485","mag":"2103018317"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2009.5417485","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2009.5417485","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 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/A5017418205","display_name":"O. Lahlou","orcid":"https://orcid.org/0009-0006-8820-5650"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"O. Lahlou","raw_affiliation_strings":["C-S - IGI, TOULOUSE CEDEX 5, France","C-S - IGI Rue Brindejonc des moulinais, BP 5872 31506 TOULOUSE CEDEX 5 - France"],"affiliations":[{"raw_affiliation_string":"C-S - IGI, TOULOUSE CEDEX 5, France","institution_ids":[]},{"raw_affiliation_string":"C-S - IGI Rue Brindejonc des moulinais, BP 5872 31506 TOULOUSE CEDEX 5 - France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085372497","display_name":"Julien Michel","orcid":"https://orcid.org/0000-0001-7436-0381"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J. Michel","raw_affiliation_strings":["C-S - IGI, TOULOUSE CEDEX 5, France","C-S - IGI Rue Brindejonc des moulinais, BP 5872 31506 TOULOUSE CEDEX 5 - France"],"affiliations":[{"raw_affiliation_string":"C-S - IGI, TOULOUSE CEDEX 5, France","institution_ids":[]},{"raw_affiliation_string":"C-S - IGI Rue Brindejonc des moulinais, BP 5872 31506 TOULOUSE CEDEX 5 - France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087053833","display_name":"Damien Pichard","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D. Pichard","raw_affiliation_strings":["C-S - IGI, TOULOUSE CEDEX 5, France","C-S - IGI Rue Brindejonc des moulinais, BP 5872 31506 TOULOUSE CEDEX 5 - France"],"affiliations":[{"raw_affiliation_string":"C-S - IGI, TOULOUSE CEDEX 5, France","institution_ids":[]},{"raw_affiliation_string":"C-S - IGI Rue Brindejonc des moulinais, BP 5872 31506 TOULOUSE CEDEX 5 - France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075135845","display_name":"Jordi Inglada","orcid":"https://orcid.org/0000-0001-6896-0049"},"institutions":[{"id":"https://openalex.org/I2799535048","display_name":"Centre National d'\u00c9tudes Spatiales","ror":"https://ror.org/04h1h0y33","country_code":"FR","type":"funder","lineage":["https://openalex.org/I2799535048"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J. Inglada","raw_affiliation_strings":["CNES, DCT/SI/AP, Toulouse, France","CNES - DCT/SI/AP - BPI 1219 18 avenue Edouard Belin 31401 TOULOUSE CEDEX 9 - France"],"affiliations":[{"raw_affiliation_string":"CNES, DCT/SI/AP, Toulouse, France","institution_ids":["https://openalex.org/I2799535048"]},{"raw_affiliation_string":"CNES - DCT/SI/AP - BPI 1219 18 avenue Edouard Belin 31401 TOULOUSE CEDEX 9 - France","institution_ids":["https://openalex.org/I2799535048"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017418205"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3236,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60423174,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"58","issue":null,"first_page":"IV","last_page":"749"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9991999864578247,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.868648111820221},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7388752102851868},{"id":"https://openalex.org/keywords/interest-point-detection","display_name":"Interest point detection","score":0.7317003011703491},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7258620262145996},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7182307243347168},{"id":"https://openalex.org/keywords/toolbox","display_name":"Toolbox","score":0.6791211366653442},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6199596524238586},{"id":"https://openalex.org/keywords/geometric-transformation","display_name":"Geometric transformation","score":0.5339210033416748},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4973278343677521},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48581695556640625},{"id":"https://openalex.org/keywords/transformation-geometry","display_name":"Transformation geometry","score":0.46386685967445374},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.4608011543750763},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.45025622844696045},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4421537518501282},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.43879106640815735},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.43431907892227173},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4237123131752014},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.41966792941093445},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4188951551914215},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.33124417066574097},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.305247962474823},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26290374994277954},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17089739441871643}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.868648111820221},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7388752102851868},{"id":"https://openalex.org/C38785706","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Interest point detection","level":5,"score":0.7317003011703491},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7258620262145996},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7182307243347168},{"id":"https://openalex.org/C2777655017","wikidata":"https://www.wikidata.org/wiki/Q1501161","display_name":"Toolbox","level":2,"score":0.6791211366653442},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6199596524238586},{"id":"https://openalex.org/C56435381","wikidata":"https://www.wikidata.org/wiki/Q1196371","display_name":"Geometric transformation","level":3,"score":0.5339210033416748},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4973278343677521},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48581695556640625},{"id":"https://openalex.org/C32990609","wikidata":"https://www.wikidata.org/wiki/Q306542","display_name":"Transformation geometry","level":2,"score":0.46386685967445374},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.4608011543750763},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.45025622844696045},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4421537518501282},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.43879106640815735},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.43431907892227173},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4237123131752014},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.41966792941093445},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4188951551914215},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.33124417066574097},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.305247962474823},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26290374994277954},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17089739441871643},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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":1,"locations":[{"id":"doi:10.1109/igarss.2009.5417485","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2009.5417485","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1677409904","https://openalex.org/W1978617972","https://openalex.org/W2124386111","https://openalex.org/W2151103935","https://openalex.org/W2157967198"],"related_works":["https://openalex.org/W2379581614","https://openalex.org/W2156253296","https://openalex.org/W2553057930","https://openalex.org/W1590919747","https://openalex.org/W3008827303","https://openalex.org/W2010676161","https://openalex.org/W2967484283","https://openalex.org/W2073097456","https://openalex.org/W2795227877","https://openalex.org/W2103018317"],"abstract_inverted_index":{"The":[0,55,66,91],"task":[1],"of":[2],"finding":[3],"correspondences":[4],"between":[5],"images":[6,10,43],"or":[7,30],"objects":[8],"in":[9,14,42,134],"is":[11,116],"usually":[12],"needed":[13],"remote":[15],"sensing":[16],"applications":[17,104],"such":[18],"as":[19],"object":[20],"recognition":[21],"and":[22,63,81,98,115],"image":[23,122],"registration.":[24],"To":[25],"do":[26],"this,":[27],"interest":[28,71,130],"\u2014":[29,32],"salient":[31],"points":[33,38,72],"can":[34,48],"be":[35,49,58],"used.":[36],"These":[37],"are":[39],"characteristic":[40],"locations":[41],"to":[44,51,61,106,118],"which":[45,110],"a":[46,96],"descriptor":[47],"associated":[50],"describe":[52],"local":[53],"features.":[54],"descriptors":[56],"must":[57],"pertinent,":[59],"robust":[60],"geometric":[62],"radiometric":[64],"distortions.":[65],"ORFEO":[67,92],"Toolbox":[68,93],"includes":[69],"innovative":[70],"detectors,":[73],"Harris,":[74],"SIFT":[75],"[1]":[76],"(Scale":[77],"Invariant":[78],"Feature":[79],"Transformation)":[80],"the":[82,107,129],"recently":[83],"added":[84],"SURF":[85],"[2]":[86],"(Speed":[87],"Up":[88],"Robust":[89],"Features).":[90],"(OTB)":[94],"provides":[95],"complete":[97],"efficient":[99],"environment":[100],"for":[101],"developing":[102],"elaborated":[103],"thanks":[105],"pipeline":[108],"mechanism":[109],"ties":[111],"successive":[112],"processing":[113],"steps":[114],"able":[117],"deal":[119],"with":[120],"different":[121],"types.":[123],"In":[124],"this":[125],"paper,":[126],"we":[127],"asses":[128],"point":[131],"detectors":[132],"available":[133],"OTB.":[135]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
