Volume 6 Issue 3
Jun.  2013
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DU Xiao-ping, LIU Ming, XIA Lu-rui, CHEN Hang. Anomaly detection algorithm for hyperspectral imagery based on summation of spectral angles[J]. Chinese Optics, 2013, 6(3): 325-331. doi: 10.3788/CO.20130603.0325
Citation: DU Xiao-ping, LIU Ming, XIA Lu-rui, CHEN Hang. Anomaly detection algorithm for hyperspectral imagery based on summation of spectral angles[J]. Chinese Optics, 2013, 6(3): 325-331. doi: 10.3788/CO.20130603.0325

Anomaly detection algorithm for hyperspectral imagery based on summation of spectral angles

doi: 10.3788/CO.20130603.0325
  • Received Date: 16 Feb 2013
  • Rev Recd Date: 17 Apr 2013
  • Publish Date: 10 Jun 2013
  • As interference pixels influence the background features in traditional methods, a new anomaly detection algorithm for hyperspectral imagery is proposed based on the summation of spectral angles. The anomaly degree of each pixel in the imagery is acquired by calculating the angles between the spectral vector of test pixel and other spectral vectors in the test region, and accumulating the angles. Then, the pretreatment method of band selection is used to further improve detection performance. HyMap hyperspectral data experiments show that the detection probability reaches 0.73 when the probability of false alarm is set to be 0.008. The reliability of anomaly detection is improved, while the probability of false alarm is reduced.

     

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