Rapid advancement in remote sensing open new avenues to explore the hyperspectral Hyperion imagery pre-processing techniques, analysis and application for land use mapping. The hyperspectral data consists of 242 bands out of which 196 calibrated/useful bands are available for hyperspectral applications. Atmospheric correction applied to the hyperspectral calibrated bands make the data more usef...

Hyperspectral imaging has attracted researchers’ interests in recent years. Because of its high dimensionality and complexity, the reduction of dimension of hyperspectral data sets has become crucial in processing and categorizing the data. In this project, I will apply two methods of dimension reduction: laplacian eigenmaps and randomized principal component analysis in order to reduce the dim...

Imaging spectroscopy, also known as hyperspectral imaging, is a new technique that has gained tremendous popularity in many research areas, including satellite imaging and aerial reconnaissance. In particular, NASA is continuously gathering high-dimensional image data from the surface of the earthwith hyperspectral sensors such as the Jet Propulsion Laboratory’s Airborne Visible-Infrared Imagin...

A hyperspectral image is a large dataset in which each pixel corresponds to a spectrum, thus providing high-quality detail of a sample surface. Hyperspectral images are thus characterised by dual information, spectral and spatial, which allows for the acquisition of both qualitative and quantitative information from a sample. A hyperspectral image, commonly known as a “hypercube”, comprises two...

Hyperspectral Imagery Sensing (HIS) is widely gained tremendous popularity in many research areas such as remotely sensed satellite imaging and aerial reconnaissance. HIS is an important technique with the measurement, analysis, and interpretation of spectra acquired sensing scene an airborne or satellite sensor. The development of sensor technology brought the developing of collecting image da...

anomaly detection (ad) has recently become an important application of target detection in hyperspectral images. the reed-xialoi (rx) is the most widely used ad algorithm that suffers from “small sample size” problem. the best solution for this problem is to use dimensionality reduction (dr) techniques as a pre-processing step for rx detector. using this method not only improves the detection p...

SUMMARY A hyperspectral camera has been acquired by the Department of Geography of the University of Alcalá. The system has been manufactured by Specim (www.specim.fi) at Oulu, Finland. The hyperspectral camera is composed of an ImSpector N17, a SU320-1.7TR NIR CCD camera, a spinning mirror installed in order to scan a 2 dimensional target and a fibre optic downwelling irradiance sensor (FODIS)...

A toolbox for simulation of the cardiovascular system has been constructed for use in Matlab Simulink (The MathWorks Inc.). The toolbox contains basic elements such as vessel segments, cardiac chambers, valves and shunts that can be graphically arranged and connected to directly simulate the circulation with the desired level of detail. The toolbox is based on the SimPower toolbox to allow simp...

The study of synchronous or asynchronous in (stochastic) neuronal populations is an important concept both theory and practice neuroscience. NPDS toolbox provides interactive simulation platform for exploring such processes MATLAB, looking through the lens nonlinear dynamical systems. includes two main components: neural population (de) synchronization, dynamics. One can investigate distributio...

This paper describes the Document Image Understanding Toolbox currently under development at the University of Washington’s Intelligent Systems Laboratory The Toolbox provides a common data structure and a variety of document image analysis and understanding algorithms from which Toolbox users can construct document image processing systems. An algon’thms for font attribute recognition based on...