An Information Extraction Method of Spectral Images Based on 3D Spectral Angle Statistics
FENG Wei-yi1, CHEN Qian1*, HE Wei-ji1, GU Guo-hua1, MIAO Zhuang2
1. Jiangsu Key Laboratory of Spectral Imaging & Intelligence Sense, Nanjing University of Science and Technology, Nanjing 210094, China 2. Science and Technology on Low Light Level(LLL) Night Vision Lab, Xi’an 710065, China
Abstract：A novel information extraction method of spectral images based on 3D spectral angle statistics is proposed. By computing the spectral angle between adjacent pixels of the image in the horizontal, vertical and diagonal direction respectively, a 3D information statistical model was then constructed. This model reflects the similarity between adjacent pixels which represent some kind of materials. Uniform areas and edge information of the same material, which will be used for the training sample collection in supervised classification, can be extracted from the image if different threshold values are set and slices are extracted from different axes in the statistical model. Compared with the traditional statistical tools, such as the histogram and scatter diagram, this statistical method has higher robustness and reliability. And it can obtain more information extracted from the spectral images.
[1] ZHANG Bing, GAO Lian-ru(张 兵，高连如). Hyperspectral Image Classification and Target Detection(高光谱图像分类与目标探测). Beijing：Science Press(北京：科学出版社)，2011. 176. [2] Xiong W, Chang C I, Wu C C, et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing，2011，4(3)：545. [3] Bachmann S, Zrnic D, De Brunner V. IEEE International Conference on Image Processing，2007，4：IV-113. [4] Robila S A. IEEE Trans. Geosci. Remote Sens.，2004，5：3233. [5] Hecker C, van der Meijde M, van der Werff H, et al. IEEE Trans. Geosci. Remote Sens.，2008，46(12)：4162. [6] Murphy R J, Monteiro S T, Schneider S. IEEE Trans. Geosci. Remote Sens.，2012，50(8)：3066. [7] Hendrix E M T, Garcia I, Plaza J, et al. IEEE Trans. Geosci. Remote Sens.，2012，50(7)：2744. [8] Jimenez-Muoz J C, Sobrino J A, Gillespie A R. IEEE Geoscience and Remote Sensing Letters，2012，9(2)：180. [9] Taylor G R, Vukovic D. IEEE 2001 International Geoscience and Remote Sensing Symposium，2001，2：634.
