{"id":"https://openalex.org/W2155754481","doi":"https://doi.org/10.1109/icip.2008.4712142","title":"A nonlinear kernel-based joint fusion/detection of anomalies using Hyperspectral and SAR imagery","display_name":"A nonlinear kernel-based joint fusion/detection of anomalies using Hyperspectral and SAR imagery","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2155754481","doi":"https://doi.org/10.1109/icip.2008.4712142","mag":"2155754481"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2008.4712142","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4712142","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","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/A5021852735","display_name":"Nasser M. Nasrabadi","orcid":"https://orcid.org/0000-0001-8730-627X"},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nasser M. Nasrabadi","raw_affiliation_strings":["US Army Research Laboratory, Adelphi, MD, USA"],"affiliations":[{"raw_affiliation_string":"US Army Research Laboratory, Adelphi, MD, USA","institution_ids":["https://openalex.org/I166416128"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5021852735"],"corresponding_institution_ids":["https://openalex.org/I166416128"],"apc_list":null,"apc_paid":null,"fwci":2.3946,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.89623193,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1864","last_page":"1867"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9642999768257141,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9573000073432922,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7903338074684143},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.7326521873474121},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7135018110275269},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7012659311294556},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6493221521377563},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6325526237487793},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.6034741401672363},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5893757343292236},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.576229453086853},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5458080172538757},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5397696495056152},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5297350287437439},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5212821960449219},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4832957088947296},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.47762078046798706},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18356874585151672},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10384130477905273}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7903338074684143},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.7326521873474121},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7135018110275269},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7012659311294556},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6493221521377563},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6325526237487793},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6034741401672363},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5893757343292236},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.576229453086853},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5458080172538757},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5397696495056152},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5297350287437439},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5212821960449219},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4832957088947296},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.47762078046798706},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18356874585151672},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10384130477905273},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2008.4712142","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4712142","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","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":2,"referenced_works":["https://openalex.org/W2047870694","https://openalex.org/W2124463804"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W2354322770","https://openalex.org/W2060875994","https://openalex.org/W2027399350","https://openalex.org/W2044184146","https://openalex.org/W3000097931","https://openalex.org/W2154495931"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"a":[3],"new":[4],"nonlinear":[5,38,94],"joint":[6],"fusion":[7,70],"and":[8,27,51,71],"detection":[9,72],"algorithm":[10,65],"is":[11,66,89],"proposed":[12,33],"for":[13],"locating":[14],"anomalies":[15],"from":[16,83],"two":[17,44,85,113],"different":[18],"types":[19],"of":[20,55,99],"sensor":[21,29,114],"data":[22,115],"(synthetic":[23],"aperture":[24],"radar":[25],"(SAR)":[26],"hyperspectral":[28],"(HS)":[30],"data).":[31],"The":[32],"approach":[34,88],"jointly":[35],"exploits":[36,104],"the":[37,43,53,75,81,84,97,105,112],"correlation":[39],"or":[40],"dependencies":[41,108],"between":[42,111],"sensors":[45],"in":[46],"order":[47,107],"to":[48,68,92],"simultaneously":[49,73],"fuse":[50],"detect":[52],"objects":[54],"interest":[56],"(mines).":[57],"A":[58],"well-known":[59],"anomaly":[60],"detector,":[61],"so":[62],"called":[63],"RX":[64],"extended":[67,91],"perform":[69],"at":[74],"pixel":[76],"level":[77],"by":[78],"appropriately":[79],"concatenating":[80],"information":[82],"sensors.":[86],"This":[87],"then":[90],"its":[93],"version":[95],"using":[96],"idea":[98],"kernel":[100],"learning":[101],"which":[102],"explicitly":[103],"higher":[106],"(nonlinear":[109],"correlations)":[110],"through":[116],"an":[117],"appropriate":[118],"kernel.":[119]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}