ABSTRACT: This study investigates a hyper-spectral remote sensing method to assess degradation of concrete in artificial structures such as tunnels, bridges or buildings. Three different degradation processes caused by carbon dioxide (carbonation), sodium chloride (salt injury), and sulfuric acid (sulfate degradation) were examined by hyper-spectral measurement of concrete surface. The normal c...

Based on hyperspectral data mining techniques and characteristics of imaging spectrum, Hyperion satellite hyperspectral data are used to study the diagnosable spectral signatures and quantitatively extract the absorption spectral features of sandstone-hosted uranium deposits in northern China. In terms of information extraction approach and the processing method of extra-abundance data, we have...

Based on hyperspectral data mining techniques and characteristics of imaging spectrum, Hyperion satellite hyperspectral data are used to study the diagnosable spectral signatures and quantitatively extract the absorption spectral features of sandstone-hosted uranium deposits in northern China. In terms of information extraction approach and the processing method of extra-abundance data, we have...

Segmentation is the process of dividing an imageinto disjoint regions. It is the most important task in image processing where the success of the object recognition depends strongly on the efficiency of the segmentation process. The most popular and important segmentation methods are clustering such asFuzzy c-Means (FCM), Iterative Self-Organizing Data (ISODATA) and K-means. Clustering methods ...

This work takes inspiration from chemistry where the spectral characteristics of the molecules are determined by hybridization of electronic states evolving from the individual atomic orbitals. Based on analogy between quantum mechanics and the classical electrodynamics, we sorted dielectric microspheres with almost identical positions of their whispering gallery mode (WGM) resonances. Using th...

The organised storage of spectral data described by metadata is important for long-term use and data sharing with other scientists. Metadata describing the sampling environment, geometry and measurement process serves to evaluate the suitability of existing data sets for new applications. There is a need for spectral databases that serve as repositories for spectral field campaign and reference...

Using side-facing observations of the New York City (NYC) skyline, we identify lighting technologies via spectral signatures measured with Visible and Near Infrared (VNIR) hyperspectral imaging. The instrument is a scanning, single slit spectrograph with 872 spectral channels from 0.4-1.0 μ m. With a single scan, we are able to clearly match the detected spectral signatures of 13 templates of k...

Raman microspectroscopy can provide the chemical contrast needed to characterize the complex intracellular environment and macromolecular organization in cells without exogenous labels. It has shown a remarkable ability to detect chemical changes underlying cell differentiation and pathology-related chemical changes in tissues but has not been widely adopted for imaging, largely due to low sign...

Hyperspectral imaging sensors exibit high spectral resolution, but normally low spatial resolution. This leads to spectral signatures of pixels originating from different object types. Such pixels are called mixed pixels. Spectral unmixing methods can be employed to estimate the fractions of reflected light from the different objects within the pixel area. However, spectral unmixing does not pr...