2014, 06 June | |
DOI: 10.14489/td.2014.06.pp.055-060 Bekirova L.R. Abstract. The classification diagrams of colorimetric systems on the basis of multispectral objects and colorimetric systems classification signs are suggested. It is well known that the main advantage of hyperspectral colorimetric system is a high amount of spectral bands, which in its turn leads to low signal/noise ratio at the output of spectral channels. This property of hyperspectral colorimeters causes the low informative content in some cases. In the paper the comparison of RGB and hyperspectral colorimeters is carried out. The mathematical formulas for estimation of amount of information at the output of RGB and hyperspectral colorimeters are derived. The mathematical condition for preva-lence of choosing RGB colorimetric systems versus hyperspectral one is formulated. Keywords: colorimetric system, hyperspectrometer, information estimate, entropy, remote sensing.
1. Kaeakami R., Wright J., Tai Y.-W. et al. (2011). High-resolution Huperspectral Imaging via Matrix Factorization. Com-puter Vision and Pattern Recognition (CVPR). Conference on 20 – 25 June 2011. IEEE 2011, pp. 2329 – 2336. (Conference Publica-tions, Univ. of Tokyo, Tokyo, Japan).
This article is available in electronic format (PDF). The cost of a single article is 350 rubles. (including VAT 18%). After you place an order within a few days, you will receive following documents to your specified e-mail: account on payment and receipt to pay in the bank. After depositing your payment on our bank account we send you file of the article by e-mail. To order articles please fill out the form below:
|