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Publication Type : Conference Proceedings
Publisher : IEEE
Source : International Symposium on Ocean Electronics, SYMPOL 2011, IEEE, Kochi, p.34 - 39 (2011)
ISBN : 9781467302630
Keywords : Hyperspectral imagery, Inter-band Correlation Coefficient, Noisy Spectral Bands, Thresholding
Campus : Coimbatore
School : School of Engineering
Center : Computational Engineering and Networking
Department : Computer Science, Electronics and Communication
Year : 2011
Abstract : In this paper, we present an effective pre-processing algorithm for band selection approach which is an essential task in hyperspectral image analysis. The pre-processing algorithm is developed based on the average inter-band block-wise correlation coefficient measure and a simple thresholding strategy. Here, the threshold parameter is found based on the standard deviation of the average inter-band block-wise correlation coefficients. The performance of the proposed algorithm is validated using the standard hyperspectral database created by the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) sensor. By comparing the detected bands with ground-truth annotations, we observed that the proposed algorithm identifies the noisy and water absorption bands in the high-dimensional hyperspectral images. The proposed algorithm achieves the classification accuracy of 94.73%.
Cite this Research Publication : B. D Bhushan, Sowmya V., M Manikandan, S., and Dr. Soman K. P., “An Effective Pre-processing Algorithm for Detecting Noisy Spectral Bands in Hyperspectral Imagery”, International Symposium on Ocean Electronics, SYMPOL 2011. IEEE, Kochi, pp. 34 - 39, 2011.