{"id":"https://openalex.org/W4387828990","doi":"https://doi.org/10.1109/igarss52108.2023.10281643","title":"Novel Object Detection in Remote Sensing Imagery","display_name":"Novel Object Detection in Remote Sensing Imagery","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387828990","doi":"https://doi.org/10.1109/igarss52108.2023.10281643"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10281643","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10281643","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 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/A5027501592","display_name":"Dawei Du","orcid":"https://orcid.org/0000-0001-9404-524X"},"institutions":[{"id":"https://openalex.org/I74786994","display_name":"Kitware (United States)","ror":"https://ror.org/02s2acn37","country_code":"US","type":"company","lineage":["https://openalex.org/I74786994"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dawei Du","raw_affiliation_strings":["Kitware"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kitware","institution_ids":["https://openalex.org/I74786994"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033755985","display_name":"Christopher Funk","orcid":"https://orcid.org/0000-0001-6613-7374"},"institutions":[{"id":"https://openalex.org/I74786994","display_name":"Kitware (United States)","ror":"https://ror.org/02s2acn37","country_code":"US","type":"company","lineage":["https://openalex.org/I74786994"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Funk","raw_affiliation_strings":["Kitware"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kitware","institution_ids":["https://openalex.org/I74786994"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008879996","display_name":"Katarina Z. Doctor","orcid":"https://orcid.org/0000-0001-8534-2808"},"institutions":[{"id":"https://openalex.org/I1288214837","display_name":"United States Naval Research Laboratory","ror":"https://ror.org/04d23a975","country_code":"US","type":"facility","lineage":["https://openalex.org/I1288214837","https://openalex.org/I1330347796","https://openalex.org/I175003984","https://openalex.org/I3130687028"]},{"id":"https://openalex.org/I3130687028","display_name":"United States Department of the Navy","ror":"https://ror.org/03ar0mv07","country_code":"US","type":"government","lineage":["https://openalex.org/I1330347796","https://openalex.org/I3130687028"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Katarina Doctor","raw_affiliation_strings":["Navy Center for Applied Research in AI,U.S. Naval Research Laboratory","U.S. Naval Research Laboratory, Navy Center for Applied Research in AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Navy Center for Applied Research in AI,U.S. Naval Research Laboratory","institution_ids":["https://openalex.org/I3130687028","https://openalex.org/I1288214837"]},{"raw_affiliation_string":"U.S. Naval Research Laboratory, Navy Center for Applied Research in AI","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033278948","display_name":"Anthony Hoogs","orcid":null},"institutions":[{"id":"https://openalex.org/I74786994","display_name":"Kitware (United States)","ror":"https://ror.org/02s2acn37","country_code":"US","type":"company","lineage":["https://openalex.org/I74786994"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anthony Hoogs","raw_affiliation_strings":["Kitware"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kitware","institution_ids":["https://openalex.org/I74786994"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4345,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67252945,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"5798","last_page":"5801"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9873999953269958,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.980400025844574,"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/computer-science","display_name":"Computer science","score":0.7671321630477905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7465636134147644},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6870499849319458},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6115951538085938},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6067149043083191},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.5831189751625061},{"id":"https://openalex.org/keywords/novelty-detection","display_name":"Novelty detection","score":0.5747460722923279},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5454403758049011},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5366901755332947},{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.5285220146179199},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5016927719116211},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.4879014194011688},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4606286585330963},{"id":"https://openalex.org/keywords/viola\u2013jones-object-detection-framework","display_name":"Viola\u2013Jones object detection framework","score":0.4113154411315918},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.25070691108703613},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.22931000590324402},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22699058055877686},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.13049811124801636}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7671321630477905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7465636134147644},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6870499849319458},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6115951538085938},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6067149043083191},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.5831189751625061},{"id":"https://openalex.org/C2778924833","wikidata":"https://www.wikidata.org/wiki/Q7064603","display_name":"Novelty detection","level":3,"score":0.5747460722923279},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5454403758049011},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5366901755332947},{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.5285220146179199},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5016927719116211},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.4879014194011688},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4606286585330963},{"id":"https://openalex.org/C182521987","wikidata":"https://www.wikidata.org/wiki/Q2493877","display_name":"Viola\u2013Jones object detection framework","level":5,"score":0.4113154411315918},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.25070691108703613},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.22931000590324402},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22699058055877686},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.13049811124801636},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","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/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"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/igarss52108.2023.10281643","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10281643","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332815","display_name":"Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W572355794","https://openalex.org/W1861492603","https://openalex.org/W2117539524","https://openalex.org/W2119880843","https://openalex.org/W2194775991","https://openalex.org/W2783398758","https://openalex.org/W2963968551","https://openalex.org/W2968924835","https://openalex.org/W2983929294","https://openalex.org/W2985499107","https://openalex.org/W2987818302","https://openalex.org/W2992240579","https://openalex.org/W3096609285","https://openalex.org/W3138516171","https://openalex.org/W3176709420","https://openalex.org/W3217535672","https://openalex.org/W4221146106","https://openalex.org/W4297670610","https://openalex.org/W4312294013","https://openalex.org/W6639102338","https://openalex.org/W6748130322","https://openalex.org/W6770794742","https://openalex.org/W6778485988","https://openalex.org/W6792296345","https://openalex.org/W6809665764"],"related_works":["https://openalex.org/W3107204728","https://openalex.org/W4287591324","https://openalex.org/W3108503355","https://openalex.org/W4226420367","https://openalex.org/W2962876041","https://openalex.org/W3090555870","https://openalex.org/W3022820045","https://openalex.org/W2801655600","https://openalex.org/W3005627584","https://openalex.org/W4303493643"],"abstract_inverted_index":{"Novel":[0],"object":[1,40,49,53,113],"detection":[2,41],"in":[3,31,79,132,136],"remote":[4],"sensing":[5],"is":[6,61,92,108],"challenging":[7],"due":[8],"to":[9,51,84,102,117],"small":[10],"objects,":[11],"background":[12],"clutter":[13],"and":[14,19],"open-set":[15],"recognition.":[16],"To":[17,115],"discover":[18],"identify":[20],"objects":[21],"that":[22],"are":[23],"not":[24],"within":[25],"the":[26,35,47,56,65,75,80,89,95,106,111,133,143,147],"set":[27,125],"of":[28,67,77,126,128,149],"known":[29,81],"classes":[30,131],"training,":[32],"we":[33,44,98,120],"developed":[34],"extreme":[36,57],"value":[37,58],"theory-based":[38],"novel":[39,86,103,124],"framework.":[42],"Specifically,":[43],"first":[45],"employed":[46],"state-of-the-art":[48],"detector":[50],"extract":[52],"detections.":[54,69],"Then,":[55],"model":[59],"(EVM)":[60],"trained":[62],"based":[63],"on":[64,142],"features":[66],"extracted":[68],"Thus":[70],"our":[71,118,150],"method":[72],"can":[73],"characterize":[74],"distribution":[76],"outliers":[78],"classes-based":[82],"distributions":[83],"classify":[85],"objects.":[87],"If":[88],"novelty":[90],"score":[91],"larger":[93],"than":[94],"pre-set":[96],"threshold,":[97],"assign":[99],"this":[100],"sample":[101,107],"classes;":[104],"otherwise":[105],"classified":[109],"by":[110],"original":[112],"detector.":[114],"adapt":[116],"task,":[119],"hold":[121],"out":[122],"a":[123],"18":[127],"overall":[129],"60":[130],"xView":[134,144],"dataset":[135,145],"satellite":[137],"imagery.":[138],"The":[139],"experimental":[140],"results":[141],"show":[146],"effectiveness":[148],"proposed":[151],"approach":[152],"over":[153],"traditional":[154],"softmax":[155],"thresholding.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}