Techniques and applications of hyperspectral image analysis by Hans Grahn, Paul Geladi

Techniques and applications of hyperspectral image analysis



Download Techniques and applications of hyperspectral image analysis




Techniques and applications of hyperspectral image analysis Hans Grahn, Paul Geladi ebook
ISBN: 047001086X, 9780470010860
Publisher: Wiley
Page: 399
Format: pdf


The method can also be used to restore signals, images, and video by removing noise, reversing blur, filling in missing data, etc. For the second In addition, the normal Raman technique is used for counterfeit detection. Optical Imaging Market (2013-2018) - Technology Trends And Applications Of OCT, HSI, NIRS And PAT In Clinical Diagnostics, Clinical Research And Life Sciences With Market Landscape Analysis - Forecasts to 2018 technologies such as Optical Coherence Tomography (OCT), Photo-acoustic Optical imaging, Hyperspectral Imaging and Near-Infrared Spectroscopy (NIRS) that have a potential to redefine the fields of medical diagnostics and clinical research. Biological The technique named microscopic hyperspectral image (MHSI) can record the morphological property of tissue and the spectral signals of each pixel of tissue image. The spectral They totally took 308 fibroblast cells to be the sample for analysis. Such techniques are finding use, for example, in medicine, A tunable filter is a device whose spectral transmission can be electronically controlled through the application of voltage or acoustic signals. Discuss the definition of hyperspectral versus multispectral, review some recent applications of hyperspectral image analysis, and summarize image-processing techniques commonly applied to hyperspectral imagery. Techniques and Applications of Hyperspectral Image Analysis gives an introduction to the field of image analysis using hyperspectral techniques, and includes definitions and instrument descriptions. For example, spin-offs from NASA's multi-and hyperspectral imaging remote sensing technology, developed for earth resources monitoring, are techniques that combine and integrate spectral with spatial methods. By incorporating information from hundreds of contiguous spectral bands, hyperspectral imaging provides a fuller picture of an unknown target than previously possible. In the biomedical inspection, the HSI is a useful modality in diagnostic medicine including applications for retinal image [2, 3], skin diagnosis [4–7], tumor microvasculature change, and cancer diagnosis [8–10]. As a peek at this cutting-edge technique, the real image shown in Figure 11 is used to demonstrate three major applications, namely, endmember extraction, subpixel target detection, and mixed pixel classification. MHI is used as a fast imaging instrument to analyze the pharmaceutical ribbons both quantitatively and qualitatively in the first application. By digitizing the same object with a variety of techniques, we will be able to more effectively present the comparison of these imaging methods, including specific examples of strengths and weaknesses and other applications.