References
- Campbell, J.B., 2007, Introduction to Remote Sensing, 4th ed. (New York: The Guilford Press).
- Chen, J.Y. and Reed, I.S., 1987, A detection algorithm for optical targets in clutter. IEEE Transactions on Aerospace and Electronic Systems, 1, pp. 46–59.
- Grossman, S., 2012, Spectral image based small target recognition. In Proceedings of ASPRS 2012. Presented at the Imaging and Geospatial Technologies – Into the Future Conference (Sacramento, CA: ASPRS), pp. 1–12.
- Howari, F.M., 2003, Comparison of spectral matching algorithms for identifying natural salt crusts. Journal of Applied Spectroscopy, 70, pp. 782–787.
- Manolakis, D., 2004, Hyperspectral signal models and implications to material detection algorithms. Presented at the International Conference on Acoustics, Speech, and Signal Processing (Montreal, QC: IEEE).
- Manolakis, D., Marden, D. and Shaw, G.A., 2003, Hyperspectral image processing for automatic target detection applications. Lincoln Laboratory Journal, 14, pp. 79–116.
- Molero, J.M., Paz, A., Garzón, E.M., Martínez, J.A., Plaza, A. and García, I., 2011, Fast anomaly detection in hyperspectral images with RX method on heterogeneous clusters. The Journal of Supercomputing, 58, pp. 411–419. doi:10.1007/s11227-011-0598-0
- Schaum, A., 2006, Hyperspectral detection algorithms: from old ideas to operational concepts to next generation. In Proceedings of SPIE 6233, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII, vol. 6233,pp. 623305–1–623305–17, CD-rom. doi:10.1117/12.665754
- Schott, J.R., 2007, Remote Sensing – The Image Chain Approach, 2nd ed. (New York: Oxford University Press).
- Soille, P., 2003, Erosion and dilation. In Morphological Image Analysis: Principles and Applications, 2nd ed. (New York: Springer-Verlag), pp. 63–103.
- Soofbaf, S.R., Fahimnejad, H., Zoej, M.J.V. and Mojaradi, B., 2007, Anomaly detection algorithms for hyperspectral imagery. In Proceedings, Remote Sensing and Image Processing, Presented at the Map of the World Forum, (Hyderabad: Geospatial Media and Communications Pvt. Ltd.), pp. 1–8.
- West, J.E., 2005, Matched filter stochastic background characterization for hyperspectral target detection. Master of Science dissertation, Rochester Institute of Technology, Rochester, NY.