ZHAO Chunhui, WANG Yulei. Design and Analysis of Hyperspectral Anomaly Detection Based on Kalman Filter Theory[J]. Chinese Journal of Electronics, 2013, 22(4): 849-854.
Citation: ZHAO Chunhui, WANG Yulei. Design and Analysis of Hyperspectral Anomaly Detection Based on Kalman Filter Theory[J]. Chinese Journal of Electronics, 2013, 22(4): 849-854.

Design and Analysis of Hyperspectral Anomaly Detection Based on Kalman Filter Theory

Funds:  This work is supported by the National Natural Science Foundation of China (No.61077079, No.60802059), the Ph.D. Programs Foundation of Ministry of Education of China (No.20102304110013), the Key Program of Heilongjiang Natural Science Foundation (No.ZD201216) and the Fundamental Research Funds for the Central Universities (No.HEUCF1208).
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  • Corresponding author: ZHAO Chunhui
  • Received Date: 2012-11-01
  • Rev Recd Date: 2013-05-01
  • Publish Date: 2013-09-25
  • Anomaly detection generally gains wide attention in hyperspectral imagery for its high spectral resolution. Real-time processing is badly needed due to its large data set. This paper presents real-time processing versions to implement the commonly used RX anomaly detector which make use of information only provided by previous pixels prior to currently being processed pixel. Through these algorithms, hyperspectral image data can be processed timely. Experimental results demonstrate these new real-time versions significantly solve real-time processing problem compared to conventional anomaly detector.
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