Study on Anomaly Detection Methods in Hyperspectral Image

Abstract:

Hyperspectral remote sensing technology can be used to make a correct spectral diagnosis on substances. So it is widely used in the field of target detection and recognition. However, it is very difficult to gather accurate prior information for target detect since the spectral uncertainty of objects is pervasive in existence. An anomaly detector can enable one to detect targets whose signatures are spectrally distinct from their surroundings with no prior knowledge. It becomes a focus in the field of target detection. Therefore, we study four anomaly detection algorithms and conclude with empirical results that use hyperspectral imaging data to illustrate the operation and performance of various detectors.

• Periodical: Applied Mechanics and Materials (Volumes 631-632)
• Pages: 631-635
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.631-632.631
• Online since: September 2014
• Authors: Yi Ting Wang*, Shi Qi Huang, Hong Xia Wang, Dai Zhi Liu
• Keywords: Anomaly Detection, Hyperspectral, Target Detection

References

[1] S. Matteoli, T. Veracini, M. Diani, and G. Corsini, in: IEEE Geoscience and remote sensing letters, Vol. 11(2014), pp.163-167.

DOI: 10.1109/lgrs.2013.2250907

[2] R. Irving S, X. Yu, in: IEEE transactions on Acoustics, Speech and Signal Processing, Vol. 38(1990) , pp.1760-1770.

[3] B Du, L. P. Zhang, in: IEEE Transactions on Geoscience and Remote Sensing, Vol. 49(2011), pp.1578-1589.

[4] H. J. Charles, in: University of Maryland Baltimore County(1993).

[5] Tiwari, K. Chandra, in: Optical Engineering, , Vol. 52(2013), pp.026402-026402.