Matches in SemOpenAlex for { <https://semopenalex.org/work/W2288752886> ?p ?o ?g. }
- W2288752886 endingPage "1389" @default.
- W2288752886 startingPage "1376" @default.
- W2288752886 abstract "Anomaly detection is playing an increasingly important role in hyperspectral image (HSI) processing. The traditional anomaly detection methods mainly extract knowledge from the background and use the difference between the anomalies and the background to distinguish them. Anomaly contamination and the inverse covariance matrix problem are the main difficulties with these methods. The low-rank and sparse matrix decomposition (LRaSMD) technique may have the potential to solve the aforementioned hyperspectral anomaly detection problem since it can extract knowledge from both the background and the anomalies. This paper proposes an LRaSMD-based Mahalanobis distance method for hyperspectral anomaly detection (LSMAD). This approach has the following capabilities: 1) takes full advantage of the LRaSMD technique to set the background apart from the anomalies; 2) explores the low-rank prior knowledge of the background to compute the background statistics; and 3) applies the Mahalanobis distance differences to detect the probable anomalies. Extensive experiments were carried out on four HSIs, and it was found that LSMAD shows a better detection performance than the current state-of-the-art hyperspectral anomaly detection methods." @default.
- W2288752886 created "2016-06-24" @default.
- W2288752886 creator A5036283525 @default.
- W2288752886 creator A5047095194 @default.
- W2288752886 creator A5054256790 @default.
- W2288752886 creator A5060042752 @default.
- W2288752886 date "2016-03-01" @default.
- W2288752886 modified "2023-10-14" @default.
- W2288752886 title "A Low-Rank and Sparse Matrix Decomposition-Based Mahalanobis Distance Method for Hyperspectral Anomaly Detection" @default.
- W2288752886 cites W1539062876 @default.
- W2288752886 cites W1964860887 @default.
- W2288752886 cites W1970099214 @default.
- W2288752886 cites W1988177629 @default.
- W2288752886 cites W1988368644 @default.
- W2288752886 cites W1991190032 @default.
- W2288752886 cites W1994040806 @default.
- W2288752886 cites W2004491663 @default.
- W2288752886 cites W2010928391 @default.
- W2288752886 cites W2018263843 @default.
- W2288752886 cites W2019287283 @default.
- W2288752886 cites W2030323360 @default.
- W2288752886 cites W2040812261 @default.
- W2288752886 cites W2043441451 @default.
- W2288752886 cites W2045445126 @default.
- W2288752886 cites W2045983409 @default.
- W2288752886 cites W2046814520 @default.
- W2288752886 cites W2047870694 @default.
- W2288752886 cites W2067897118 @default.
- W2288752886 cites W2069231830 @default.
- W2288752886 cites W2070424424 @default.
- W2288752886 cites W2072970403 @default.
- W2288752886 cites W2078296814 @default.
- W2288752886 cites W2101252963 @default.
- W2288752886 cites W2104433020 @default.
- W2288752886 cites W2112737239 @default.
- W2288752886 cites W2117756735 @default.
- W2288752886 cites W2119449648 @default.
- W2288752886 cites W2124267685 @default.
- W2288752886 cites W2140340527 @default.
- W2288752886 cites W2142552707 @default.
- W2288752886 cites W2145962650 @default.
- W2288752886 cites W2147042314 @default.
- W2288752886 cites W2149142337 @default.
- W2288752886 cites W2152648638 @default.
- W2288752886 cites W2163816481 @default.
- W2288752886 cites W2163957348 @default.
- W2288752886 cites W2165289391 @default.
- W2288752886 cites W2165447611 @default.
- W2288752886 cites W2248058375 @default.
- W2288752886 doi "https://doi.org/10.1109/tgrs.2015.2479299" @default.
- W2288752886 hasPublicationYear "2016" @default.
- W2288752886 type Work @default.
- W2288752886 sameAs 2288752886 @default.
- W2288752886 citedByCount "279" @default.
- W2288752886 countsByYear W22887528862016 @default.
- W2288752886 countsByYear W22887528862017 @default.
- W2288752886 countsByYear W22887528862018 @default.
- W2288752886 countsByYear W22887528862019 @default.
- W2288752886 countsByYear W22887528862020 @default.
- W2288752886 countsByYear W22887528862021 @default.
- W2288752886 countsByYear W22887528862022 @default.
- W2288752886 countsByYear W22887528862023 @default.
- W2288752886 crossrefType "journal-article" @default.
- W2288752886 hasAuthorship W2288752886A5036283525 @default.
- W2288752886 hasAuthorship W2288752886A5047095194 @default.
- W2288752886 hasAuthorship W2288752886A5054256790 @default.
- W2288752886 hasAuthorship W2288752886A5060042752 @default.
- W2288752886 hasConcept C11413529 @default.
- W2288752886 hasConcept C114614502 @default.
- W2288752886 hasConcept C121332964 @default.
- W2288752886 hasConcept C12997251 @default.
- W2288752886 hasConcept C153180895 @default.
- W2288752886 hasConcept C154945302 @default.
- W2288752886 hasConcept C158693339 @default.
- W2288752886 hasConcept C159078339 @default.
- W2288752886 hasConcept C164226766 @default.
- W2288752886 hasConcept C185142706 @default.
- W2288752886 hasConcept C1921717 @default.
- W2288752886 hasConcept C26873012 @default.
- W2288752886 hasConcept C33923547 @default.
- W2288752886 hasConcept C41008148 @default.
- W2288752886 hasConcept C42355184 @default.
- W2288752886 hasConcept C62520636 @default.
- W2288752886 hasConcept C739882 @default.
- W2288752886 hasConceptScore W2288752886C11413529 @default.
- W2288752886 hasConceptScore W2288752886C114614502 @default.
- W2288752886 hasConceptScore W2288752886C121332964 @default.
- W2288752886 hasConceptScore W2288752886C12997251 @default.
- W2288752886 hasConceptScore W2288752886C153180895 @default.
- W2288752886 hasConceptScore W2288752886C154945302 @default.
- W2288752886 hasConceptScore W2288752886C158693339 @default.
- W2288752886 hasConceptScore W2288752886C159078339 @default.
- W2288752886 hasConceptScore W2288752886C164226766 @default.
- W2288752886 hasConceptScore W2288752886C185142706 @default.
- W2288752886 hasConceptScore W2288752886C1921717 @default.
- W2288752886 hasConceptScore W2288752886C26873012 @default.
- W2288752886 hasConceptScore W2288752886C33923547 @default.
- W2288752886 hasConceptScore W2288752886C41008148 @default.