The selection of metrics for spectral matches is fundamental to MVSI (multi-channel visible-spectrum imaging) otherwise known as spectral imaging. The metrics used for spectral matches can impact everything from the selection of the filters used for multi-channel capture to the evaluation of the spectral estimation. However, there is, as yet, no consensus on which metric should be applied for s...

[1] Recent empirical studies have shown that multi-angle spectral data can be useful for predicting canopy height, but the physical reason for this correlation was not understood. We follow the concept of canopy spectral invariants, specifically escape probability, to gain insight into the observed correlation. Airborne Multi-Angle Imaging Spectrometer (AirMISR) and airborne Laser Vegetation Im...

Multi-output Gaussian processes provide a convenient framework for multi-task problems. An illustrative and motivating example of a multi-task problem is multi-region electrophysiological time-series data, where experimentalists are interested in both power and phase coherence between channels. Recently, Wilson and Adams (2013) proposed the spectral mixture (SM) kernel to model the spectral den...

This paper describes the development and investigation of a multi-spectral laser scanner for non destructive diagnosis of damages on building surfaces. The application of four semiconductor lasers as defined active light source, especially in infrared wavelengths, allows the detection of damages like moisture, salt blooming and biological covering. Different methods for the evaluation of multis...

Remote imaging at high spatial resolution has a number of environmental, industrial, and military applications. Analysis of high-resolution multi-spectral images usually involves either spectral analysis of single pixels in a multi-or hyper-spectral image or spatial analysis of multi-pixels in a panchromatic or monochromatic image. Although insuucient for some pattern recognition applications i...

Vector quantization is a powerful tool for speech coding applications. This paper deals with LPC Coding of speech signals which uses a new technique called Multi Switched Split Vector Quantization, This is a hybrid of two product code vector quantization techniques namely the Multi stage vector quantization technique, and Switched split vector quantization technique,. Multi Switched Split Vecto...

Typical color image processing techniques use profiles consisting of sparse multi-dimensional lookup tables that interpolate between adjacent nodes to prepare an image for rendering. It has been suggested that spectral image processing could make analogous use of these techniques. A lookup table for spectral matching will relate spectral correlates to values related to printer digital counts. P...

Multi-spectral imaging methods give the possibility to detect damages, like moisture and natural cover (e.g. moss), on surfaces of building structures. An Infrared Vidicon system and two digital cameras have been tested concerning their applicability for multispectral analysis. The results of the evaluation with multi-spectral image classification are compared. Digital cameras simplify the acqu...

In this study using the Idrisi software system, a methodology for jointly analyzing and interpreting multi-spectral images and DEMs for extracting structural-geology features is given. In analyzing and interpreting multi-spectral images for geological features, certain criteria are employed to acquire information about the geological structures of the land, such as topographic, geomorphologic, ...

The information which is contained in the multi-spectral and SAR images have different characteristic. Multi-spectral images contain a great deal of spectral information, whereas SAR images contain rich texture information, such as buildings and road network. SAR and TM images fusion based on the wavelet transform ensure the fusion image showing more spatial detail, not only conserving the spec...