Randomized Low-Rank Nonlinear RX Detector
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-40395-8_9
Reference44 articles.
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2. Guo, Q., Pu, R., Cheng, J.: Anomaly detection from hyperspectral remote sensing imagery. Geosciences 6, 56 (2016)
3. Matteoli, S., Diani, M., Corsini, G.: A tutorial overview of anomaly detection in hyper-spectral images. IEEE Aerosp. Electron. Syst. Mag. 25, 5–28 (2010)
4. Irving, R.S., Yu, X.: Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution. IEEE Trans. Acoustics, Speech Signal Process. 38, 1760–1770 (1990)
5. Kwon, H., Nasrabadi, N.M.: Kernel RX-algorithm: a nonlinear anomaly detector for hyperspectral imagery. IEEE Trans. Geosci. Remote Sens. 43, 388–397 (2005)
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