Hyperspectral Target Detection Based on Classification Algorithms
Keywords:
target detection, hyperspectral imaging, remote sensingAbstract
Target detection algorithm in hyperspectral imaging detects a certain material in a hyperspectral image using a known spectral signature of the material. Conventional algorithms for target detection assume that there is only one known target spectrum so target statistics cannot be estimated. Discriminant analysis is designed for classification, but this paper analyzes the performance of discriminant functions for target detection. The discriminant functions have been modified for target detection and uses simulated target spectra with different amount of random noise. Experimental results show that the algorithms can work well within a certain amount of noise.
References
. Manolakis, D., Shaw, G.: Detection algorithms for hyperspectral Imaging applications. IEEE Signal Processing Magazine, vol. 19, pp. 29-43 (2002).
. Kraut, S., Scharf, L.: The CFAR adaptive sub-space detector is a scale-invariant GLRT.IEEE Transaction Signal Processing, vol. 47, pp. 2538-2541 (1999).
. Kraut, S., Scharf,L.,McWhorter, L.T.: Adaptive subspace detectors.IEEE Trans. Signal Processing, vol. 49, pp. 1-16,(2001).
. Truslow, E., Manolakis, D., Pieper, M., Cooley,T., Brueggeman, M..: Performance prediction of matched filter and adaptive cosine estimator hyperspectral target detectors. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7(6),pp.2337-2349 (2014).
. Lo,E., Ientilucci, I:Target detection in hyperspectral imaging using logistic regression. Proc. of SPIE, vol. 9840,98400W (2016).
. Zieman, A., Theiler, J., Ientilucci, I:Experiments withSimplexACE:dealing with highly variabletargets, Proc. of SPIE, vol. 10198, 101980F (2017).
. Zieman, A., Theiler: SimplexACE: a constrained subspace detector, Optical Engineering, vol. 56(8), 081808, pp. 1-13(2017).
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