Matches in SemOpenAlex for { <https://semopenalex.org/work/W2002189870> ?p ?o ?g. }
- W2002189870 endingPage "3491" @default.
- W2002189870 startingPage "3475" @default.
- W2002189870 abstract "In this paper, we investigate the constant false-alarm rate (CFAR) property of the RX anomaly detector which is widely used for the analysis of hyperspectral data. The RX detector relies on an adaptive scheme where the mean vector and the covariance matrix of the background are locally estimated from the image pixels themselves. First, demeaning is accomplished by removing the estimated local background mean value, and then, the covariance matrix is estimated in a homogeneous neighborhood of each pixel. In principle, if the local mean is perfectly removed and the covariance matrix is estimated from background pixels sharing the same covariance matrix, the RX algorithm has the CFAR property, which is highly desirable in practical applications. The CFAR behavior of the algorithm also requires the spatial stationarity of the random noise affecting the hyperspectral image. In data collected by new-generation sensors, such an assumption is not valid because photon noise contribution, which depends on the spatially varying signal level, is not negligible. This has motivated us to analyze the behavior of the RX algorithm with respect to the CFAR property in data affected by signal-dependent (SD) noise. In this paper, we show both theoretically and experimentally that the SD noise is one of the causes of the non-CFAR behavior of the RX detector that we have experienced in many practical situations. We propose a strategy to enhance the robustness of the anomaly detection scheme with respect to the CFAR property based on an adaptive nonlinear transform aimed at reducing the dependence of the noise on the signal level. Experiments on simulated data and real data collected by a new hyperspectral camera are also presented and discussed." @default.
- W2002189870 created "2016-06-24" @default.
- W2002189870 creator A5061282109 @default.
- W2002189870 creator A5064336799 @default.
- W2002189870 creator A5089641976 @default.
- W2002189870 date "2013-06-01" @default.
- W2002189870 modified "2023-10-14" @default.
- W2002189870 title "On the CFAR Property of the RX Algorithm in the Presence of Signal-Dependent Noise in Hyperspectral Images" @default.
- W2002189870 cites W1965555277 @default.
- W2002189870 cites W2047870694 @default.
- W2002189870 cites W2074342013 @default.
- W2002189870 cites W2079838548 @default.
- W2002189870 cites W2097900616 @default.
- W2002189870 cites W2099301440 @default.
- W2002189870 cites W2110034185 @default.
- W2002189870 cites W2114341361 @default.
- W2002189870 cites W2115059240 @default.
- W2002189870 cites W2121789508 @default.
- W2002189870 cites W2124267685 @default.
- W2002189870 cites W2127141393 @default.
- W2002189870 cites W2136154654 @default.
- W2002189870 cites W2142192675 @default.
- W2002189870 cites W2151599207 @default.
- W2002189870 cites W2171404468 @default.
- W2002189870 cites W2406093411 @default.
- W2002189870 cites W3104298728 @default.
- W2002189870 doi "https://doi.org/10.1109/tgrs.2012.2221128" @default.
- W2002189870 hasPublicationYear "2013" @default.
- W2002189870 type Work @default.
- W2002189870 sameAs 2002189870 @default.
- W2002189870 citedByCount "15" @default.
- W2002189870 countsByYear W20021898702014 @default.
- W2002189870 countsByYear W20021898702015 @default.
- W2002189870 countsByYear W20021898702016 @default.
- W2002189870 countsByYear W20021898702018 @default.
- W2002189870 countsByYear W20021898702019 @default.
- W2002189870 countsByYear W20021898702020 @default.
- W2002189870 countsByYear W20021898702021 @default.
- W2002189870 countsByYear W20021898702023 @default.
- W2002189870 crossrefType "journal-article" @default.
- W2002189870 hasAuthorship W2002189870A5061282109 @default.
- W2002189870 hasAuthorship W2002189870A5064336799 @default.
- W2002189870 hasAuthorship W2002189870A5089641976 @default.
- W2002189870 hasConcept C104317684 @default.
- W2002189870 hasConcept C105795698 @default.
- W2002189870 hasConcept C11413529 @default.
- W2002189870 hasConcept C115961682 @default.
- W2002189870 hasConcept C153180895 @default.
- W2002189870 hasConcept C154945302 @default.
- W2002189870 hasConcept C159078339 @default.
- W2002189870 hasConcept C160633673 @default.
- W2002189870 hasConcept C178650346 @default.
- W2002189870 hasConcept C185142706 @default.
- W2002189870 hasConcept C185592680 @default.
- W2002189870 hasConcept C33923547 @default.
- W2002189870 hasConcept C41008148 @default.
- W2002189870 hasConcept C55493867 @default.
- W2002189870 hasConcept C63479239 @default.
- W2002189870 hasConcept C739882 @default.
- W2002189870 hasConcept C76155785 @default.
- W2002189870 hasConcept C77052588 @default.
- W2002189870 hasConcept C94915269 @default.
- W2002189870 hasConcept C99498987 @default.
- W2002189870 hasConceptScore W2002189870C104317684 @default.
- W2002189870 hasConceptScore W2002189870C105795698 @default.
- W2002189870 hasConceptScore W2002189870C11413529 @default.
- W2002189870 hasConceptScore W2002189870C115961682 @default.
- W2002189870 hasConceptScore W2002189870C153180895 @default.
- W2002189870 hasConceptScore W2002189870C154945302 @default.
- W2002189870 hasConceptScore W2002189870C159078339 @default.
- W2002189870 hasConceptScore W2002189870C160633673 @default.
- W2002189870 hasConceptScore W2002189870C178650346 @default.
- W2002189870 hasConceptScore W2002189870C185142706 @default.
- W2002189870 hasConceptScore W2002189870C185592680 @default.
- W2002189870 hasConceptScore W2002189870C33923547 @default.
- W2002189870 hasConceptScore W2002189870C41008148 @default.
- W2002189870 hasConceptScore W2002189870C55493867 @default.
- W2002189870 hasConceptScore W2002189870C63479239 @default.
- W2002189870 hasConceptScore W2002189870C739882 @default.
- W2002189870 hasConceptScore W2002189870C76155785 @default.
- W2002189870 hasConceptScore W2002189870C77052588 @default.
- W2002189870 hasConceptScore W2002189870C94915269 @default.
- W2002189870 hasConceptScore W2002189870C99498987 @default.
- W2002189870 hasIssue "6" @default.
- W2002189870 hasLocation W20021898701 @default.
- W2002189870 hasOpenAccess W2002189870 @default.
- W2002189870 hasPrimaryLocation W20021898701 @default.
- W2002189870 hasRelatedWork W1489099099 @default.
- W2002189870 hasRelatedWork W1841418116 @default.
- W2002189870 hasRelatedWork W2030759397 @default.
- W2002189870 hasRelatedWork W2042378457 @default.
- W2002189870 hasRelatedWork W2058750705 @default.
- W2002189870 hasRelatedWork W2080824149 @default.
- W2002189870 hasRelatedWork W2097746176 @default.
- W2002189870 hasRelatedWork W2097772921 @default.
- W2002189870 hasRelatedWork W2150496749 @default.
- W2002189870 hasRelatedWork W2762654808 @default.
- W2002189870 hasVolume "51" @default.