Hyperspectral imaging structure

K.H. Esbensen and T.T. Lied, Principles of image cross-validation (ICV) representative segmentation of image data structures, in Techniques and Applications of Hyperspectral Image Analysis, H. Grahn and P. Geladi (eds). Chap. 7. (155-180), John Wiley Sons, Ltd, Chichester, 2007. 

Hyperspectral imaging (HSl) combines spectroscopy and the traditional imaging to form a three-dimensional structure of multivariate data (hypercube). The hyperspectral images are consist of many spectral bands acquired in a narrow and contiguous way, allowing to analyze each pixel in the multiple wavelengths simultaneously and, therefore, to obtain a... 

The technique of mid-IR microspectroscopy and imaging has great potential for the rapid and reliable identification of tissue structures not only for scientific research purposes but also in a real clinical set-up. The standardisation of the data acquisition and the assessment of the quality of the spectra constitute key factors for the successful transfer to elinical application. Furthermore the problem of overfitting and the role of independent validation have been discussed. In this chapter we also exemplified the question of standardisation of the hyperspectral image acquisition protocol and demonstrated how the... 

Long ago, Manne proposed two theorems that clearly stated when the true unique solution (C and profiles) of a resolution problem can be recovered based on the natural local rank conditions of the data set [129]. Although these conditions were originally meant for structured processes, they can be easily reformulated for hyperspectral image data analysis as follows ... 

This is not to imply that molecular structure of simple organic molecules cannot be determined by infrared spectroscopy. In fact, the information that can be deduced from an infrared spectrum is complementary to that of other methods, and infrared spectroscopy provides valuable information that is unattainable by other methods, as is shown in the remainder of the book. More important, however, a plethora of other applications became available with the advent in 1969 of the first commercial mid-infrared Fourier transform spectrometer with better than 2cm resolution. These include quantitative analysis of complex mixtures, the investigation of dynamic systems, biological and biomedical spectroscopy, microspectroscopy and hyperspectral imaging, and the study of many types of interfacial phenomena. All of these applications (and many more) are described in this book. Furthermore, because of the development of such sampling techniques... 

Hyperspectral Imaging and Chemometrics A Perfect Combination for the Analysis of Food Structure, Composition and Quality... 

FIGURE 3 Schematic representation of the three common configurations in hyperspectral imaging devices and structure of the final data cube of dimensions (X X 7 X X). Slightly modified from [14] with permission of Springer. 

Multivariate Image Analysis Strong and Weak Multiway Methods Strong and weak -way methods analyze 3D and 2D matrices, respectively. Hyperspectral data cube structure is described using chemometric vocabulary [17]. A two-way matrix, such as a classical NIR spectroscopy data set, has two modes object (matrix lines) and V variables (matrix columns). Hyperspectral data cubes possess two object modes and one variable mode and can be written as an OOV data array because of their two spatial directions. 

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