![]() The developed spectral library is available at OGC compatible website /index.php.ĭavid Landgrebe, Professor of Electrical Engineering and Director of the Purdue University Laboratory for Applications of Remote Sensing (LARS), was a primary innovator in the field of digital image analysis and remote sensing of the environment. The confusion between bright soil and concrete surfaces is difficult to overcome spectrally. Though it is challenging to discriminate materials belonging to the same class, for example, different types of concrete pavements, the broad level classes such as soil, urban vegetation, metal roofs, and concrete are well separable. The spectral discrimination analysis found that the significant wavelength ranges for discriminating urban classes is spread all over the spectrum with slight bias for visible range. Novelty of our algorithm is twofold: first, we use Leodoit-Wolf covariance estimator for improving accuracy, and second we introduce two new metrics based on Bhattacharyya distance. Instead of common analysis methods which focus on single wavelength, we focus on wavelength range as it is difficult for urban material to find out single diagnostic wavelength. Further, we develop an algorithm for identifying the most important wavelength range, and its distribution. The primary focus of the research is spectral study of the local urban materials and their discrimination using field signatures. In this paper, we present a spectral library of urban materials and its detailed spectral analysis. The full text can be found at: (02)00033-X. MultiSpec is copyrighted (1991–2001) by Purdue Research Foundation, West Lafayette, Indiana 47907. ![]() The Macintosh and Windows versions and documentation on its use are available from the World Wide Web at URL:∼biehl/MultiSpec/. Since then most (but not all) of the features in the Macintosh OS version have been ported to the Windows OS version.Although copyrighted, MultiSpec with its documentation is distributed without charge. The GLOBE () program supported the development of a subset of MultiSpec for the Windows OS in 1995. The effort was first begun on the Macintosh OS in 1988. It has also found use in displaying and analyzing many other types of non-space related digital imagery, such as medical image data and in K-12 and university level educational activities.MultiSpec has been implemented for both the Apple Macintosh® and Microsoft Windows® operating systems (OS). The primary purpose for the system was to make new, otherwise complex analysis tools available to the general Earth science community. It is intended to provide a fast, easy-to-use means for analysis of multispectral image data, such as that from the Landsat, SPOT, MODIS or IKONOS series of Earth observational satellites, hyperspectral data such as that from the Airborne Visible–Infrared Imaging Spectrometer (AVIRIS) and EO-1 Hyperion satellite system or the data that will be produced by the next generation of Earth observational sensors. MultiSpec is a multispectral image data analysis software application.
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