Near-IR radiation is often utilized to detect the properties in tissues. If the diffusion equation can be applied to analyze
and determine optical properties of superficial biological tissue, the pathological changes occurring in vivo will be
understood and thus the noninvasive measurement can be realized. Up to now, a semi-infinite medium photon migration
model and a two-layered turbid medium model are applied widely. On the basis of diffusion equation, the photon
diffusion through a three-layered matching medium was analyzed and the Green's function in the steady state solved by
employing the extrapolated boundary condition. With the results, it is found the solution of two-layered media is the
simplified form of three-layered matching turbid media.
According to the chromatic theory, the color sensitive characteristic of light source are studied in the widely used CIE1976L*a*b* color space and color difference. The mathematics formulae of characteristic are deduced. The color sensitive characteristics of D65 and A light source are studied. The general laws of the color sensitive characteristic are concluded. The mathematics models of light source can be used in some fields such as making light source.
Hyperspectral image can be analyzed by Convex Geometry Analysis(CGA) method. CGA method can unmix endmembers from hyperspectral image. The endmember proportions of mixed pixels can be calculated in inherent dimensional space, and a proportion image, which is called inherent proportion image, is obtained. The endmember proportions of mixed pixels can be calculated in n-space by the Constrained Least Squares, and a proportion image, which is called CLS proportion image, is obtained. In this paper, the inherent proportion image and CLS proportion image of a 30-band remote sensing image are obtained. The two proportion images are similar. The targets that are smaller than earth surface pixel can be identified by the inherent proportion image.
On the basis of spectrophotometric color matching, the color difference weight factor is proposed and used in the thesis. The weight factor can be expressed as ωj = {{[(x(λj)]2 + [y(λj)]2 + [z(λj)]2}[S(λj)]2}½ and obtained according to the assumption of Σj(ΔXj)2+(ΔYj)2+(ΔZj)2 -> min, i. e., in the range of visible spectrum it is assumed that the square sum of tri-stimulus value deviation produced by spectrum deviation at each wavelength is minimal.Through comparison with spectrophotometric color matching, we find a new weight factor. The new factor multiplied by the variety of reflectivity is the color difference, which is cause by the difference of reflectivity between standard color and matching color. So we name the weight factor: color difference weight factor. The prediction of computer shows the color difference produced by the weight factor is smaller than that produced by the two weight factors which were designed by Schmid and Strockash.
We analyze the inherent channels of hyperspectral data with convex geometry analysis method. In this paper, a method-Volume Method, which selects the inherent channels of hyperspectral data, is presented. The concept of convexity geometry can be used to great advantage in the analysis of hyperspectral data. Convex simplex and inherent dimensionality concept is discussed on base of convex geometry. A set of 252-band hyperspectral data is applied to testify the Volume Method. The endmember proportions are calculated in the inherent dimensional space whose channels are selected by the Volume Method, compared with Constrained Least Squares Method in 252-space.
This paper used a new method to determining the surface reflectance factor, the linear relationship between Kubelka-Munk Function and concentration is obtained.
Color sensitive functions of object is defined in the widely used CIE1976L*a*b* color space and color difference. Mathematics formulae are deduced. The general law of color sensitive functions is concluded. Mathematics models can be used in some fields such as computer color matching.
We present matrix expression of convex geometry analysis method of hyperspectral data by linear mixing model and establish a mathematic model of endmembers. A 30-band remote sensing image is applied to testify the model. The results of analysis reveal that the method can analyze mixed pixel questions. The targets that are smaller than earth surface pixel can be identified by applying the method.
Fourier-transform infrared spectroscopy is an efficient technique for the detection and quantification of molecules in gas mixtures. A passive infrared system was used to detect specific hazardous clouds in the atmosphere and sound an alarm in time. The Fourier transform infrared spectrometer is operated in the 8-12 atmosphere window region of the spectrum. A spectral identified system of hazardous clouds is based on neural network. The network is trained by the use of the backward-error-propagation algorithm. The identical results of the target spectra from the open-air have demonstrated that the detection-integrated system may be used to detect and identify the infrared spectra of hazardous clouds.
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